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Dipartimento di Management "Valter Cantino"

Bachelor Program in Business and Management

Logo di Bachelor Program in Business and Management

Stelios Bekiros

Professor

Contacts

At

  • Dipartimento di Management "Valter Cantino"
  • Bachelor Program in Business and Management
  • Corso di studio in Finanza Aziendale e Mercati Finanziari

Curriculum vitae

  • Curriculum Vitae (0.1 MB)

    • Research products

    All my research products

    Selected research products

    Publications

    The list is not exhaustive, only indicative out of over 320 publications. For further information on current papers, books, citations, working papers etc, please use any of the email addresses provided in my contact page. The following list includes the most significant publications.

    https://www.steliosbekiros.com/

    Google Scholar page link: Professor Dr. Stelios Bekiros

     

    Academic Journals 

    (List of most significant out of over 320 publications)

    BEKIROS S, YAO Q, MOU J, ALKHATEEB A.-F, JAHANSHAHI H (2023). Adaptive Fixed-time Robust control for Function Projective Synchronization of Hyperchaotic Economic Systems with External Perturbations. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2023.113609

    SINHA A, BEKIROS S, HUSSAIN N, NGUYEN D.-K, KHAN S.-A (2023). How Social Imbalance and Governance Quality shape Policy Directives for Energy Transition in the OECD Countries? ENERGY ECONOMICS, doi.org/10.1016/j.eneco.2023.106642

    ALI W, BEKIROS S, HUSSAIN N, KHAN S.-A, NGUYEN D.-K (2023). Determinants and Consequences of Corporate Social Responsibility disclosure: A Survey of Extant Literature. JOURNAL OF ECONOMIC SURVEYS, doi.org/10.1111/joes.12556

    AHMAD W, TIWARI S-R, WADHWANI A, KHAN M-A, BEKIROS S (2023). Financial Networks and Systemic Risk Vulnerabilities: A Tale of Indian Banks. RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, doi.org/10.1016/j.ribaf.2023.101962

    BEKIROS S, LAAREM G, MOU J, AL-BARAKATI A.-A, JAHANSHAHI H (2023). Heterogeneous Agent-Based Modeling of Endogenous Boom-Bust Cycles In Financial Markets with Adaptive Expectations and Dynamically Switching Fractions between Contrarian and Fundamental Market Entry Strategies. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2023.113330

    LAHMIRI S, BEKIROS S, AVDOULAS C (2023). A comparative assessment of machine learning methods for predicting housing prices using Bayesian optimization. DECISION ANALYTICS JOURNAL, doi.org/10.1016/j.dajour.2023.100166

    LAHMIRI S, TADJ C, GARGOUR C, BEKIROS S (2023). Optimal tuning of support vector machines and k-NN algorithm by using Bayesian optimization for newborn cry signal diagnosis based on audio signal processing features. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2022.112972

    YAO Q, JAHANSHAHI H, MOROZ I, BEKIROS S, ALASSAFI M.O (2022). Indirect neural-based finite-time integral sliding mode control for trajectory tracking guidance of Mars entry vehicle. ADVANCES IN SPACE RESEARCH, doi.org/10.1016/j.asr.2022.11.059

    KHENNAOUI A.-A, OUANNAS A, BEKIROS S, ALY A, ALOTAIBI A, JAHANSHAHI H, ALSUBAIE H (2022). Hidden Homogeneous Extreme Multistability of Fractional Order Hyperchaotic Discrete- time System: Chaos, Intial Offset Boosting, Amplitude Control, Control and Synchronization. SYMMETRY, doi.org/10.3390/sym15010139

    SHI L, GUO W, WANG L, BEKIROS S, ALSUBAIE H, ALOTAIBI A, JAHANSHAHI H (2022). Stochastic fixed-time tracking control for the chaotic multi-agent based supply chain networks with nonlinear communication. ELECTRONICS, doi.org/10.3390/electronics12010083

    SINGH S, WALIA N, BEKIROS S, GUPTA A, KUMAR J, MISHRA A.K. (2022). Risk-managed time-series momentum: an emerging economy experience. JOURNAL OF ECONOMICS, FINANCE AND ADMINISTRATIVE SCIENCE, doi.org/10.1108/JEFAS-08-2021-0159

    ALSAADE F-W, YAO Q, BEKIROS S, AL-ZAHRANI M-S, ALZAHRANI A-S, JAHANSHAHI H (2022). Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2022.112883

    BEKIROS S, JAHANSHAHI H, MUNOZ-PACHECO J.-M (2022). A new buffering theory of social support and psychological stress. PLOS ONE, doi.org/10.1371/journal.pone.0275364

    LAHMIRI S, BEKIROS S, BEZZINA F (2022). Evidence of the fractal market hypothesis in European industry sectors with the use of bootstrapped wavelet leaders singularity spectrum analysis. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2022.112813

    TAGHIEH A, MOHAMMADZADEH A, ZHANG C, RATHINASAMY S, BEKIROS S (2022). A novel adaptive interval type-3 neuro-fuzzy robust controller for nonlinear complex dynamical systems with inherent uncertainties. NONLINEAR DYNAMICS, doi.org/10.1007/s11071-022-07867-9

    LAHMIRI S, BEKIROS S, BEZZINA F (2022). Complexity analysis and forecasting of variations in cryptocurrency trading volume with support vector regression tuned by Bayesian optimization under different kernels: An empirical comparison from a large dataset.  EXPERT SYSTEMS WITH APPLICATIONS, doi.org/10.1016/j.eswa.2022.118349

    VIDAL M, VIDAL-GARCIA J, BOUBAKER S, BEKIROS S (2022). Short-Term Volatility Timing: A Cross-Country Study. ANNALS OF OPERATIONS RESEARCH, doi.org/10.1007/s10479-022-04998-5

    YAO Q, JAHANSHAHI H, BEKIROS S, MIHALACHE S.-F, ALOTAIBI N-D (2022). Gain-Scheduled Sliding-Mode-Type Iterative Learning Control Design for Mechanical Systems. MATHEMATICS, doi.org/10.3390/math10163005

    BEKIROS S, SORADI-ZEID S, MOU J, YOUSEFPOUR A, ZAMBRANO-SERRANO E, JAHANSHAHI H (2022). Laguerre wavelet approach for two-dimensional time-space fractional Schrödinger equation. ENTROPY, doi.org/10.3390/e24081105

    YAO Q, JAHANSHAHI H, BEKIROS S, MIHALACHE S.-F, ALOTAIBI N-D (2022). Indirect neural-enhanced integral sliding mode control for finite-time fault-tolerant attitude tracking of spacecraft. MATHEMATICS, doi.org/10.3390/math10142467

    YAHYA M, UDDIN S, BEKIROS S, JAYASEKERA R, GLING K (2022). Systematic Risk in the Biopharmaceutical Sector: A Multiscale Approach. ANNALS OF OPERATIONS RESEARCH, doi.org/10.1007/s10479-021-04402-8

    WANG B, JAHANSHAHI H, KARACA Y, BEKIROS S, XIA W-F, ALKHATEEB A-F, NOUR M (2022). Use Of Evolutionary Algorithms In A Fractional Framework To Prevent The Spread Of Coronavirus. FRACTALS, doi.org/10.1142/S0218348X22401466

    LIU Z, JAHANSHAHI H, VOLOS C, BEKIROS S, HE S-H, ALASSAFI M-O, AHMAD A-M (2022). Distributed consensus tracking of chaotic multi-agent supply chain network: A new fault-tolerant, finite-time and chatter-free approach. ENTROPY, doi.org/10.3390/e24010033

    BAGHERI E, EBRAHIMI S-B, MOHAMMADI A, MIRI M, BEKIROS S (2022). The dynamic volatility connectedness structure of energy futures and global financial markets: Evidence from a novel time-frequency domain approach. COMPUTATIONAL ECONOMICS, doi.org/10.1007/S10614-021-10120-X

    JAHANSHAHI H, ZAMBRANO-SERRANO E, BEKIROS S, WEI Z, VOLOS C, CASTILLO O, ALY A-A. (2022). On The Dynamical Investigation And Synchronization Of Variable-Order Fractional Neural Networks: The Hopfield-Like Neural Network Model. THE EUROPEAN PHYSICAL JOURNAL SPECIAL TOPICS, doi.org/10.1140/epjs/s11734-022-00450-8

    YAO Q, JAHANSHAHI H, MOROZ I, BEKIROS S, ALOTAIBI N-D (2022). Neural Adaptive Fixed-Time Attitude Stabilization and Vibration Suppression of Flexible Spacecraft. MATHEMATICS, doi.org/10.3390/math10101667

    YASAMI, A; YOUSEFPOUR A; JAHANSHAHI H; BEKIROS S; CHU Y-M; GÓMEZ AGUILAR J-F (2022). Cancer chemotherapy treatment using a novel fuzzy-reinforcement learning based optimal control method. Forthcoming THE EUROPEAN PHYSICAL JOURNAL PLUS

    DING Q, JAHANSHAHI H, WANG Y, BEKIROS S, ALASSAFI M-O (2022). Optimal Reinforcement Learning-Based Control Algorithm for a Class of Nonlinear Macroeconomic Systems. MATHEMATICS, doi.org/10.3390/math10030499

    GABRIEL G-T, DIEU N-J, ALI A-M, ZERIC N-T, NESTOR T, BEKIROS S, JOSEPH E, GASTON T-J (2022). A novel hybrid 4-D Chaotic Oscillator with Mordel Elliptic Curve for Secure Image Encryption. Forthcoming ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

    LAHMIRI S, TADJ C, GARGOUR C, BEKIROS S (2022). Deep learning systems for automatic diagnosis of infant cry signals. CHAOS, SOLITONS AND FRACTALS, 10.1016/j.chaos.2021.111700

    WANG B, JAHANSHAHI H, BEKIROS S, GOMEZ-AGUILAR J-F, YOUSEFPOUR A, ALASSAFI M-O, AHMAD A-M (2022). Dynamic investigation and distributed consensus tracking control of a variable-order fractional supply chain system using a multi-agent neural network based control method. Forthcoming NEURAL COMPUTING AND APPLICATIONS

    OUANNAS A, BATIHA I-M, BEKIROS S, LIU J-G, JAHANSHAHI H , ALY A.-A, ALGHTANI A-H (2021). Synchronization of the Glycolysis Reaction-Diffusion Model via Linear Control Law. ENTROPY, doi.org/10.3390/e23111516

    AHMAD W, KAUR CHAHAL R-J, BEKIROS S (2022). Do Political Connections Impact the Corporate Environmental Compliance? Evidence from India. Submitted JOURNAL OF CLEANER PRODUCTION

    AHMAD W, WADHWANI A, BEKIROS S (2022). Financial Networks and Systemic Risk Vulnerabilities: Evidence from India. Submitted RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE

    LIU Z, JAHANSHAHI H, VOLOS C, BEKIROS S, HE S, ALASSAFI M-O, AHMAD A-M (2021). Distributed consensus tracking control of chaotic multi-agent supply chain network: A new fault-tolerant, finite-time, and chatter-free approach. ENTROPY, doi.org/10.3390/e24010033

    WANG B, LIU J, ALASSAFI M-O, ALSAADI F-E, JAHANSHAHI H, BEKIROS S (2022). Intelligent parameter identification and prediction of variable time fractional derivative and application in a symmetric chaotic financial system. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2021.111590

    LAHMIRI S, BEKIROS S (2021). Complexity Measures of High Oscillations in Phonocardiogram as Biomarkers to Distinguish between Normal Heart Sound and Pathological Murmur. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2021.111610

    WANG B, DERBELI M, BARAMBONES O, YOUSEFPOUR A, JAHANSHAHI H, BEKIROS S, ALY A.-A, ALHARTHI M-M (2021). Experimental Validation of Disturbance Observer-based Adaptive Terminal Sliding Mode Control Subject to Control Input Limitations for SISO and MIMO Systems. EUROPEAN JOURNAL OF CONTROL, doi.org/10.1016/j.ejcon.2021.09.010

    LAHMIRI S, BEKIROS S, BEZZINA F (2022). Forecasting of Variations in Cryptocurrency Trading Volume with Support Vector Regression Tuned by Bayesian Optimization under Different Kernels: An Empirical Comparison from a Large Dataset. Forthcoming EXPERT SYSTEMS WITH APPLICATIONS

    WANG B, BEKIROS S, ALKHATEEB A-F, NOUR M (2021). Synchronization of driving–response chaotic fractional-order financial risk systems using a new type-2 fuzzy disturbance-observer-based finite-time terminal sliding mode control. Revised APPLIED SOFT COMPUTING

    WANG B, JAHANSHAHI H, GOMEZ F, BEKIROS S, ALOTAIBI N-D (2022). Deep reinforcement learning for effective vaccination strategies of coronavirus disease 2019 (COVID-19). Forthcoming THE EUROPEAN PHYSICAL JOURNAL PLUS

    WANG B, BEKIROS S, ALASSAFI M-O, ALSAADI F-E (2022). A new neural network-based optimal mixed H2/H∞ control for a modified unmanned aerial vehicle subject to control input constraints. Forthcoming ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

    MOHAMMADI A, BAGHERI E, EBRAHIMI S-B, KIA A-N, BEKIROS S (2022). A novel Supervised Learning approach for Financial Market Forecasting based on Directed Spillover Networks and Google PageRank Algorithm. Under 2nd revisions APPLIED SOFT COMPUTING

    LAHMIRI S, BEKIROS S (2021). The Effect of COVID-19 on Long Memory in Returns and Volatility of Cryptocurrency and Stock Markets. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2021.111221

    WANG B, JAHANSHAHI J, VOLOS C, BEKIROS S, YUSUF A, AGARWAL P, ALY A-A  (2021). Control of a symmetric chaotic supply chain system using a new fixed-time super-twisting sliding mode technique subject to control input limitations. SYMMETRY, doi.org/10.3390/sym13071257

    BEIGI A, YOUSEFPOUR A,YASAMI A, GÓMEZ-AGUILAR,J-F BEKIROS S, JAHANSHAHI H (2021). Application of reinforcement learning for effective vaccination strategies of coronavirus disease 2019 (COVID-19). EUROPEAN PHYSICAL JOURNAL PLUS, doi.org/10.1140/epjp/s13360-021-01620-8

    WANG B, JAHANSHAHI J, VOLOS C, BEKIROS S, KHAN M-A, AGARWAL P, ALY A-A  (2021). A new RBF neural network-based fault-tolerant active control for fractional time-delayed systems. ELECTRONICS, doi.org/10.3390/electronics10121501

    ZAMBRANO-SERANNO E, BEKIROS S, PLATAS-GARZA M-A, POSADAS-CASTILLO C, TOMASIELLO S, JAHANSHAHI H, ALY A-A (2021). On chaos and projective synchronization of a fractional difference map with no equilibria using a new fuzzy-based state feedback control. PHYSICA A, doi.org/10.1016/j.physa.2021.126100

    WANG B, JAHANSHAHI J, VOLOS C, BEKIROS S, YUSUF A, AGARWAL P, ALY A-A  (2021). Control of a symmetric chaotic supply chain system using a new fixed-time super-twisting sliding mode technique subject to control input limitations. SYMMETRY, doi.org/10.3390/sym13071257

    MUMTAZ A, AZAM M, BEKIROS S, HINA S.M (2021). Are output fluctuations transitory or permanent? New evidence from a novel Global Multi-scale Modeling approach. QUANTITATIVE FINANCE AND ECONOMICS, doi.org/10.3934/QFE.2021016

    WANG H, JAHANSHAHI H, WANG M-K, BEKIROS S, LIU J, ALY A-A (2021). A Caputo-Fabrizio fractional-order model of HIV/AIDS with treatment compartment: Sensitivity analysis and optimal control strategies. ENTROPY, doi.org/10.3390/e23050610

    LI Y-X, JAHANSHAHI H, BEKIROS S, HE S, SUN Y-L, GOMEZ F, ALY A-A (2021). A Chaotic Hydraulic generator regulating system: Dynamic analysis and Control using Chebyshev Neural Network-based Non-singular fast terminal sliding mode method. Under review COMPUTATIONAL AND APPLIED MATHEMATICS

    BAGHERI E, EBRAHIMI S-B, MOHAMMADI A, MIRI M, BEKIROS S (2021). The dynamic volatility connectedness structure of energy futures and global financial markets: Evidence from a novel time-frequency domain approach. COMPUTATIONAL ECONOMICS, doi.org/10.1007/S10614-021-10120-X

    LAHMIRI S, BEKIROS S, GIAKOUMELOU A (2021). Multi-Scale Analysis Reveals Different Patterns in Technical Indicators of Blockchain. FRACTALS, doi.org/10.1142/S0218348X21501851

    LAHMIRI S, GIAKOUMELOU A, BEKIROS S (2021). An Adaptive Sequential-Filtering Learning System for Credit Risk Modeling. SOFT COMPUTING, doi.org/10.1007/s00500-021-05833-y

    LAHMIRI S, BEKIROS S, AVDOULAS C (2021). Optimal Predictive Systems for House Price Evaluation: A Comparison of Three Models. Forthcoming INTELLIGENT SYSTEMS IN ACCOUNTING, FINANCE AND MANAGEMENT

    JAHANSHAHI H, ZAMBRANO-SERRANO E, BEKIROS S, WEI Z, VOLOS C, CASTILLO O, ALY A-A (2021). On the dynamical investigation and synchronization of variable-order fractional neural networks: The Hopfield-like neural network model. Forthcoming THE EUROPEAN PHYSICAL JOURNAL SPECIAL TOPICS

    JAHANSHAHI H, DUTTA H, ZAMBRANO-SERRANO E, GREBENYUK V, BEKIROS S, ALY A-A (2021). Incorporating fast and intelligent control technique into ecology: A Chebyshev neural network-based terminal sliding mode approach for fractional chaotic ecological systems. ECOLOGICAL COMPLEXITY, doi.org/10.1016/j.ecocom.2021.100943

    JAHANSHAHI H, BEKIROS S, GRITLI H, CHU Y-M, GÓMEZ AGUILAR J-F, ALY A-A (2021). Tracking Control and Stabilization of a Fractional Financial Risk system using novel Active Finite‐time Fault‐tolerant controls. FRACTALS, doi.org/10.1142/S0218348X21501553

    WANG Y-L, JAHANSHAHI H, BEKIROS S, BEZZINA F, CHU Y-M, ALY A-A (2021). Deep Recurrent Neural Networks with Finite-Time Terminal Sliding Mode Control for a Chaotic Fractional-Order Financial System with Market Confidence. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2021.110881

    BEKIROS S, JAHANSHAHI H, BEZZINA F, ALY A-A (2021). A Novel Fuzzy Mixed H2/H∞ Optimal Controller for Hyperchaotic Financial Systems. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2021.110878

    CHU Y-M, BEKIROS S, SERRANO-ZAMBRANO E, OROSCO-LOPEZ O, LAHMIRI S, JAHANSHAHI H, ALY A-A (2021). Artificial Macro-Economics: A Chaotic Discrete-Time Fractional-Order Laboratory Model. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2021.110776

    JAHANSHAHI H, SAJJADI S, BEKIROS S, ALY A (2021).On the development of variable-order fractional hyperchaotic economic system with a nonlinear model predictive controller. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2021.110698

    LAHMIRI S, BEKIROS S (2021). Deep Learning Forecasting in Cryptocurrency High-Frequency Trading. COGNITIVE COMPUTATION, Springer-NATURE, doi.org/10.1007/s12559-021-09841-w

    YASAMI, A; YOUSEFPOUR A; JAHANSHAHI H; BEKIROS S; CHU Y-M; GÓMEZ AGUILAR J-F (2021). Cancer chemotherapy treatment using a novel fuzzy-reinforcement learning based optimal control method. Forthcoming THE EUROPEAN PHYSICAL JOURNAL PLUS

    BEKIROS S, JAHANSHAHI H, CHU J-M, GOMEZ-AGUILAR J.F, MUNOZ-PACHECO J-M, ALSAAHADI F. E, ALASSAFI M. O (2021). Use of evolutionary algorithms in a fractional framework to prevent the spread of coronavirus. Forthcoming CHAOS, SOLITONS AND FRACTALS

    LAHMIRI S, TADJ C, GARGOUR C, BEKIROS S (2021). Characterization of Infant Healthy and Pathological Cry Signals in Cepstrum Domain Based on Approximate Entropy and Correlation Dimension. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2020.110639

    JAHANSHAHI H, MUNOZ-PACHECO J-M, BEKIROS S, ALOTAIBI N.D (2021). A fractional-order SIRD model with time-dependent memory indexes for encompassing the multi-fractional characteristics of the COVID-19. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2020.110632

    CHEN S-B, RAJAEE F, YOUSEFPOUR A, ALCARAZ R, CHU Y-M, GÓMEZ-AGUILAR J.F, BEKIROS S, ALY A-A. JAHANSHAHI H (2020). Antiretroviral therapy of HIV infection using a novel optimal type-2 fuzzy control strategy. ALEXANDRIA ENGINEERING JOURNAL, doi.org/10.1016/J.AEJ.2020.11.009

    LAHMIRI S, SENSOY A, BEKIROS S, ERDINC A (2020). Statistical Analysis of Wavelet Leaders Reveals Differences in Multi-Fractal Characteristics of Stock Price and Return Series: Evidence from Turkish High Frequency Data. Forthcoming FRACTALS

    LAHMIRI S, BEKIROS S (2021). The Effect of COVID-19 on Long Memory in Returns and Volatility of Cryptocurrency and Stock Markets. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2021.111221

    AHMAD W, EKIROS S (2020). Understanding the Business Cycle and Credit Cycle Dynamics in India. Forthcoming INTERNATIONAL REVIEW OF ECONOMICS AND FINANCE, revise and resubmit

    ZHOU S-S, JAHANSHAHI H, DIN Q, BEKIROS S, ALCARAZ R, ALASSAFI M-O, ALSAADI F-E, CHU Y-M (2020). Discrete-time macroeconomic system: Bifurcation analysis and synchronization using fuzzy-based activation feedback control. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2020.110378

    CHEN S-B, SORADI-ZEID S, BEKIROS S, JAHANSHAHI H, ALCAZAR R, GOMEZ-AGUILAR J.F, BEKIROS S, CHU Y-M (2020). Optimal Control of Time-Delay Fractional Equations via a Joint Application of Radial Basis Functions and Collocation Method. ENTROPY, doi.org/10.3390/e22100000

    JAHANSHAHI H, BEKIROS S, LAHMIRI S, GREBENYUK V, CHU Y-M (2020). Optimal chaotic control of dynamic macroeconomic models using reinforcement learning. Under revisions FRACTALS

    ZHENG C, RAJAIE F, CHEN S, ALCARAZ R, JAHANSHAHI H, BEKIROS S, ALIREZA B, CHU Y-M (2020). Recurrent neural network-based robust nonsingular sliding mode control with input saturation for a non-holonomic spherical robot. IEEE ACCESS doi.org/10.1109/ACCESS.2020.3030775

    BEKIROS S, HEDSTRÖM A, JAYASEKERA E, MISHRA T, UDDIN S (2020). Correlated at the Tail: Implications of Asymmetric Tail-Dependence across Bitcoin Markets. COMPUTATIONAL ECONOMICS  doi.org/10.1007/S10614-020-10058-6

    CHEN S-B, ABBA O-A, SOLÍS-PÉREZ J.E. BEKIROS S, GÓMEZ-AGUILAR J.F., YOUSEFPOUR A, JAHANSHAH H, CHU Y-M (2020). The effect of market confidence on a financial system from the perspective of fractional calculus: Numerical investigation and circuit realization. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2020.110223

    LAHMIRI S, BEKIROS S (2020). Randomness, Informational Entropy and Volatility Interdependencies among the major world markets: The role of the Covid-19 Pandemic. ENTROPY, doi.org/10.3390/e22080833

    LAHMIRI S, BEKIROS S (2020). Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2020.110084

    BEKIROS S, SAHOO M, MALLICK H, MAHALIK M K (2020). Factors Influencing India’s Current Account Balance: Implication for Achieving Its External Sector Sustainability. JOURNAL OF PUBLIC AFFAIRS, dx.doi.org/10.1002/pa.2311

    LAHMIRI S, BEKIROS S (2020). The Impact of COVID-19 Pandemic upon Stability and Sequential Irregularity of Equity and Cryptocurrency Markets. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2020.109936

    NESLIHANOGLU S, BEKIROS S, MCCOLL J, LEE D (2020). Multivariate Time-Varying Parameter Modeling for Stock Markets. EMPIRICAL ECONOMICS doi.org/10.1007/s00181-020-01896-2

    AVDOULAS C, BEKIROS S (2020). Revisiting the Dynamic Linkages of Treasury Bond Yields for the BRICS: A Forecasting Analysis. FORECASTING, doi.org/10.3390/forecast2020006

    BEKIROS S, JAHANSHAHI H, YOUSEFPOUR A (2020). Optimal policies for control of the novel coronavirus (COVID-19). CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2020.109883

    LAHMIRI S, BEKIROS S, GIAKOUMELOU A (2020). Multi-Scale Analysis Reveals Different Patterns in Technical Indicators of Blockchain. Forthcoming FRACTALS

    BEKIROS S, KOULOUMPOU D (2020).SBDiEM: A new Mathematical model of Infectious Disease Dynamics. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2020.109828

    SEGNON M, BEKIROS S (2020). Forecasting Volatility in Bitcoin Market. ANNALS OF FINANCE, doi.org/10.1007/s10436-020-00368-y

    WANG S, BEKIROS S, YOUSEFPOUR A, HE S,  CASTILLO O, JAHANSHAHI H (2020). Synchronization of fractional delay financial system using a novel type-2 fuzzy active control method. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2020.109768

    ALTAN A, KARASU S, BEKIROS S, AHMAD W (2020). A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series. ENERGY (The International Journal)  doi.org/10.1016/j.energy.2020.118750

    LAHMIRI S, BEKIROS S (2020). Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2020.109641

    LAHMIRI S, BEKIROS S, AVDOULAS C (2020). Optimal Predictive Systems for House Price Evaluation: A Comparison of Three Models. Forthcoming INTELLIGENT SYSTEMS IN ACCOUNTING, FINANCE AND MANAGEMENT

    BEKIROS S, LAHMIRI S, BEZZINA F, GIAKOUMELOU A (2020). Performance Assessment of Ensemble Learning Systems in Financial Data Classification. INTELLIGENT SYSTEMS IN ACCOUNTING, FINANCE AND MANAGEMENT, doi.org/10.1002/isaf.1460

    ΒEKIROS S, NILAVONGSE R, UDDIN G (2020). Expectation-Driven House Prices and Debt Defaults: the Effectiveness of Monetary and Macroprudential Policies. JOURNAL OF FINANCIAL STABILITY. doi.org/10.1016/j.jfs.2020.100760

    BEKIROS SHAHZAD H, JAMMAZI R, ALOUI C (2020). Spillovers across European sovereign credit markets and role of surprise and uncertainty. APPLIED ECONOMICS, doi.org/10.1080/00036846.2019.1659930

    BEKIROS S, JAHANSHAHI H, SORADI-ZEID S, YOUSEFPOUR A (2020). King algorithm: a novel optimization approach based on variable-order fractional calculus with application in chaotic financial systems. CHAOS, SOLITONS AND FRACTALS doi.org/10.1016/j.chaos.2019.109569

    BEKIROS S, AVDOULAS C, LUCEY B (2019). The term structure of Eurozone peripheral bond yields: an asymmetric regime-switching equilibrium correction approach. STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS  doi.org/10.1515/snde-2018-0105

    BEKIROS S, SANG H, KANG, SEONG-MIN YOON, UDDIN G (2019). Bitcoin as Hedge or Safe Haven: Evidence from Stock, Currency, Bond and Derivatives Markets. COMPUTATIONAL ECONOMICS, doi.org/10.1007/s10614-019-09935-6

    LAHMIRI S, BEKIROS S (2019). Big Data Analytics using Multi-Fractal Wavelet Leaders in High-Frequency Bitcoin Markets. CHAOS, SOLITONS AND FRACTALS doi.org/10.1016/j.chaos.2019.109472

    LAHMIRI S, BEKIROS S (2019). Can Machine Learning Approaches Predict Corporate Bankruptcy? Evidence from a Qualitative Experimental Design. QUANTITATIVE FINANCE  doi.org/10.1080/14697688.2019.1588468

    ALTAN A, KARASU S, BEKIROS S (2019). Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2019.07.011

    LAHMIRI S, BEKIROS S (2019). Nonlinear analysis of Casablanca Stock Exchange, Dow Jones and S&P500 industrial sectors with a comparison. PHYSICA A doi.org/10.1016/j.physa.2019.122923

    LAHMIRI S, BEKIROS S (2019). Multi-fluctuation nonlinear patterns of European financial markets based on adaptive filtering with application to family business, green, Islamic, common stocks, and comparison with Bitcoin, NASDAQ, and VIX. PHYSICA A  doi.org/10.1016/j.physa.2019.122858

    UDDIN G, GENÇAY R, BEKIROS S, SAHAMKHADAM M (2019). Enhancing the Predictability of Crude Oil Markets with Hybrid Wavelet approaches. ECONOMICS LETTERS, doi.org/10.1016/j.econlet.2019.05.041

    BEKIROS S, KOULOUMPOU D (2019). On the Pricing of Exotic Options: a New Closed-Form Valuation Approach. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2018.09.030

    JAHANSHAHI H, YOUSEFPOUR A, WEI Z, ALCARAZ R, BEKIROS S (2019). A financial hyperchaotic system with coexisting attractors: dynamic investigation, entropy analysis, control and synchronization. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2019.05.023

    LAHMIRI S, BEKIROS S (2019). Decomposing the persistence structure of Islamic and green crypto-currencies with nonlinear stepwise filtering. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2019.07.012

    TIWARI A, GUPTA R, BEKIROS S, (2019). Chaos in G7 stock markets using over one century of data: A note. RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE. doi.org/10.1016/j.ribaf.2018.08.005

    AHMAD W, VERMA R, BEKIROS S, UDDIN G (2019). Analysing the Systemic Risk of Indian Banks. ECONOMICS LETTERS doi.org/10.1016/j.econlet.2019.01.003

    UDDIN G, BEKIROS S, NY Y-L, DAHLEN O (2019). The Dynamic Dependence Structure of Commodity and Equity Markets. Forthcoming JOURNAL OF FORECASTING

    SHAHZAD S, BOURI E, ARREOLA-HERNANDEZ J, BEKIROS S, ROUBAOUD D (2019). Spillover across Eurozone credit market sectors and determinants. APPLIED ECONOMICS, doi.org/10.1080/00036846.2019.1619014

    BEKIROS S, PHILIPPAS AVDOULAS C (2019). Financial and Retirement Literacy in the Aftermath of the financial crisis: Checks and Balances. RISK ANALYSIS (under review)

    SHAHZAD S, VAN HOANG T.H, ARREOLA-HERNANDEZ J, BEKIROS S (2019). A New Systemic Risk Index: Cross-Quantilogram Analysis of European Banks. JOURNAL OF FINANCE (under review)

    BEKIROS S, ARREOLA-HERNANDEZ J, UDDIN G, MUZAFFAR A-T (2019). On the Predictability of Crude Oil Market: A Hybrid Multi-Scale Wavelet Approach. Forthcoming JOURNAL OF FORECASTING

    GKILLAS K, BEKIROS S, SYRIOPOULOS K (2019). Extreme Correlation in Cryptocurrency Markets. JOURNAL OF INTERNATIONAL FINANCIAL MARKETS, INSTITUTIONS AND MONEY (under revisions)

    PASIOURAS F, BOURI E, ROUBAUD D, GALARIOTIS E, BEKIROS S, LUCEY B (2019). National Culture, Trust in Banks and Multiple Firm-Bank Relationships: Cross-Country Evidence. JOURNAL OF FINANCIAL INTERMEDIATION (under review)

    SHAHBAZ M, SHAFIULLAH M, BEKIROS S, MAHALIK M K (2019). The Dynamics of Financial Development, Globalization, Economic Growth and Life Expectancy in Sub-Saharan Africa. APPLIED ECONOMICS (under revisions)

    BEKIROS S, AVDOULAS C (2019). The Term Structure of Eurozone Peripheral Bond Yields: A Multivariate Asymmetric Regime-Switching Equilibrium Correction Approach. Forthcoming STUDIES IN NONLINEAR DYNAMICS & ECONOMETRICS

    SHAHZAD S, ARREOLA-HERNANDEZ J, BEKIROS S, ROUBAOUD D (2019). Is Gold a Safe Haven? Evidence From G-7 Stock and Bond Markets. JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY

    ARREOLA HERNANDEZ H, ALEXAKIS C, BEKIROS S, SANTILLAN SALGADO R.J (2019). Vine Copulas and Optimal Portfolio Selection: An Application to Australian Retail and Manufacturing Equities. JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY (under revisions)

    BEKIROS S, KANG S. H., YOON S.-M., LUCEY B (2019). Bitcoin as Hedge or Safe Haven: Evidence from Stock, Currency, Bond and Derivatives Markets. Forthcoming COMPUTATIONAL ECONOMICS

    BEKIROS S, DAHLSTRÖM A, EGE O, UDDIN G, JAYASEKERA R (2019). A Tale of Two Shocks: The Dynamics of International Real Estate Markets. INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, doi.org/10.1002/ijfe.1725

    LAHMIRI S, BEKIROS S (2018). Cryptocurrency Forecasting with Deep Learning Chaotic Neural Networks. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2018.11.014

    LAHMIRI S, BEKIROS S, AVDOULAS C (2018). Time-Dependent Complexity Measurement of Causality in International Equity Markets: A Spatial Approach. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2018.09.030

    LAHMIRI S, BEKIROS S (2018). The Informational Dynamics of Mean-Variance Relationships in Fertilizer Markets: An Entropic Investigation. ENTROPY, doi.org/10.3390/e20090677

    STAVROYIANNIS S, BABALOS V, BEKIROS S, LAHMIRI S, UDDIN G (2018). The High Frequency Multifractal Properties of Bitcoin. PHYSICA A doi.org/10.1016/j.physa.2018.12.037

    LAHMIRI S, BEKIROS S, STAVROYIANNIS S, BABALOS V (2018). Modelling Volatility Persistence under Stochasticity Assumptions: Evidence from Common and Alternative Investments. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2018.06.025

    JAMMAZI R, NGUYEN S, BEKIROS S, ALOUI C (2018). Time-Varying Nonlinear Causality Nexus between European CDS Markets: A Complex Network Analysis. APPLIED ECONOMICS, doi.org/10.1080/00036846.2018.1470313

    BEKIROS S, NGUYEN S, JAMMAZI R, SHAWKAT H (2018). Sovereign bond market dependencies and crisis transmission around the Eurozone debt crisis: a dynamic copula approach. APPLIED ECONOMICS, doi.org/10.1080/00036846.2018. 1470313

    LAHMIRI S, BEKIROS, S (2018). Time-Varying Self-Similarity in Alternative Investments. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2018.04.004

    BEKIROS S, NILAVONGSE R, UDDIN G (2018). Bank capital shocks and countercyclical requirements: Implications for banking stability and welfare. JOURNAL OF ECONOMIC DYNAMICS AND CONTROL, doi.org/10.1016/j.jedc.2018.01.049

    BEKIROS S, LOUKERIS N, MATSATSINIS N, BEZZINA F (2018). Customer Satisfaction Prediction in the Shipping Industry with Hybrid Meta-Heuristic Approaches. COMPUTATIONAL ECONOMICS, doi.org/10.1007/s10614-018-9842-5

    LAHMIRI S, BEKIROS, S, SALVI A (2018). Long-Range Memory, Distributional Variation and Randomness of Bitcoin Volatility. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2017.12.018

    SEGNON M, BEKIROS S (2018). Forecasting Inflation Uncertainty in the G7 Countries. ECONOMETRICS JOURNAL, doi.org/10.3390/econometrics6020023

    LAHMIRI S, BEKIROS, S (2018). Chaos, randomness and multi-fractality in Bitcoin market. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2017.11.005

    BEKIROS S, SJÖ B, SWEENEY R (2018). Pitfalls in Cross-Section studies with Integrated Regressors: A Survey and New Developments. JOURNAL OF ECONOMIC SURVEYS, doi.org/ dx.doi.org/10.1111/joes.12246

    BEKIROS S, JLASSI M, NAOUI K, UDDIN G (2018). Risk Perception in Financial Markets: On the Flip Side. INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, doi.org/10.1016/j.irfa.2018.03.005

    BEKIROS S, STAVROYIANNIS S, BABALOS V, LAHMIRI S (2018). Is Anti-Herding behaviour Spurious?. FINANCE RESEARCH LETTERS, doi.org/10.1016/j.frl.2018.09.003

    SHAHZAD S, ARREOLA-HERNANDEZ J, BEKIROS S, SHAHBAZ M, KAYANI G, M (2018). A systemic risk analysis of Islamic equity markets using vine copula and delta CoVaR modeling. JOURNAL OF INTERNATIONAL FINANCIAL MARKETS, INSTITUTIONS AND MONEY, doi.org/10.1016/j.intfin.2018.02.013

    LABIDI C, RAHMAN M-L, HEDSTROM A, UDDIN G, BEKIROS S (2018). Quantile Dependence between Developed and Emerging Stock Market Aftermath of the Global Financial Crisis. INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, doi.org/10.1016/j.irfa.2018.08.005

    STAVROYIANNIS S, BABALOS V, BEKIROS S, LAHMIRI S, UDDIN G (2018). The High Frequency Multifractal properties of Bitcoin. PHYSICA A doi.org/10.1016/j.physa.2018.12.037

    SHAHZAD S-J, ARREOLA HERNANDEZ J, ROUBAUD D, RAZA N, BEKIROS S, (2018). Gold as Safe Haven for G-7 Stocks and Bonds: A Revisit. JOURNAL OF QUANTITATIVE ECONOMICS doi.org/10.1007/s40953-019-00163-1

    BEKIROS S, LOUKERIS N, ELEFTHERIADIS I, SALVI A (2018). Meta-Heuristic Approaches in Optimal Portfolio Selection. JOURNAL OF EVOLUTIONARY ECONOMICS (under review)

    BEKIROS S, LOUKERIS N, ELEFTHERIADIS I (2018). Portfolio Optimization with investor utility preference of higher-order moments: A behavioral approach. REVIEW OF BEHAVIORAL ECONOMICS, dx.doi.org/10.1561/105.00000060

    BEKIROS S, TSEKERIS T, VOGIATZOGLOU K (2011). Multi-Regional Agent-Based Modeling of Household and Firm Location Choices with Endogenous Transport Costs. ERSA conference papers, No. ersa10p479

    BEKIROS S, LOUKERIS N, ELEFTHERIADIS I (2018). Portfolio Optimization with investor utility preference of higher-order moments: A behavioral approach. REVIEW OF BEHAVIORAL ECONOMICS, dx.doi.org/10.1561/105.00000060

    BEKIROS S, AHMED A, ROSKLINT – LINDVALL E., SALVI A, UDDIN G (2018). The Impact of Energy Consumption and Output on CO2 Emissions In Bangladesh: a time-frequency approach. ENERGY SYSTEMS, doi.org/10.1007/s12667-018-0309-5

    BEKIROS S, AVDOULAS C, HASSAPIS C (2018). Nonlinear equilibrium adjustment dynamics and predictability of the term structure of interest rates. INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, doi.org/10.1016/j.irfa.2017.11.009

    BADSHAH I, BEKIROS S, LUCEY B, UDDIN G (2018). Asymmetric Linkages among the Fear Index and Emerging Market Volatility Indices. Forthcoming EMERGING MARKETS REVIEW, doi.org/10.1016/j.ememar.2018.03.002

    SEGNON M, GUPTA R, BEKIROS S, WOHAR M (2018). Forecasting US GNP Growth: The Role of Uncertainty. JOURNAL OF FORECASTING dx.doi.org/10.1002/for.2517

    BEKIROS S, LOUKERIS N, ELEFTHERIADIS I, UDDIN G (2018). Revisiting the Three Factor Model in Light of Circular Behavioral Simultaneities. REVIEW OF BEHAVIORAL FINANCE, doi.org/10.1108/RBF-08-2017-0079

    UDDIN G, BEKIROS S, AHMED A (2018). The nexus between geopolitical uncertainty and crude oil markets: An entropy-based wavelet analysis. PHYSICA A, doi.org/10.1016/j.physa.2017.12.025

    BEKIROS S, BOUBAKER S, NGUYEN, D, UDDIN G (2017). Black swan events and safe havens: The role of gold in globally integrated emerging markets. JOURNAL OF INTERNATIONAL MONEY AND FINANCE, doi.org/10.1016/j.jimonfin.2017.02.010

    LAHMIRI S, UDDIN G, BEKIROS, S (2017). Clustering of short and long-term co-movements in international financial and commodity markets in wavelet domain. PHYSICA A, doi.org/10.1016/j.physa.2017.06.012

    BEKIROS S, SHAHZAD S, ARREOLA-HERNANDEZ J, REHMAN M (2017). Directional predictability and time-varying spillovers between stock markets and economic cycles. ECONOMIC MODELLING, doi.org/10.1016/j.econmod.2017.10.003

    LAHMIRI S, BEKIROS, S (2017). Disturbances and complexity in volatility time series. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2017.10.006

    BEKIROS S, JLASSI M, LUCEY B, NAOUI K, UDDIN G (2017). Herding behavior, market sentiment and volatility: Will the bubble resume?. NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, doi.org/10.1016/j.najef.2017.07.005

    BEKIROS S, MUZAFFAR A, UDDIN G, VIDAL-GARCÍA J (2017). Money supply and inflation dynamics in the Asia-Pacific economies: a time-frequency approach. STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS, doi.org/10.1515/snde-2016-0051

    LAHMIRI S, UDDIN G, BEKIROS, S (2017). Nonlinear dynamics of equity, currency and commodity markets in the aftermath of the global financial crisis. CHAOS, SOLITONS AND FRACTALS, doi.org/10.1016/j.chaos.2017.06.019

    AVDOULAS C, BEKIROS S (2017). Nonlinear Forecasting of Euro Area Industrial Production Using Evolutionary Approaches. COMPUTATIONAL ECONOMICS, doi.org/10.1007/s10614-017-9695-3

    SHAHZAD S, ARREOLA-HERNANDEZ J, BEKIROS S, REHMAN M (2017). Risk transmitters and receivers in global currency markets. FINANCE RESEARCH LETTERS, doi.org/10.1016/j.frl.2017.09.018

    BEKIROS S, LOUKERIS N, ELEFTHERIADIS I, AVDOULAS C (2017). Tail-Related Risk Measurement and Forecasting in Equity Markets. COMPUTATIONAL ECONOMICS, doi.org/10.1007/s10614-017-9766-5

    BEKIROS S, JLASSI M, NAOUI K, UDDIN G (2017). The asymmetric relationship between returns and implied volatility: Evidence from global stock markets. JOURNAL OF FINANCIAL STABILITY, doi.org/10.1016/j.jfs.2017.05.006

    BEKIROS S, GUPTA R, KYEI C (2016). A Nonlinear approach for Predicting Stock Returns and Volatility with the use of Investor Sentiment Indices. APPLIED ECONOMICS, doi.org/10.1080/00036846.2015.1130793

    BEKIROS S, CARDANI R, PACCAGNINI A, VILLA S (2016). Dealing with Financial Instability under a DSGE modeling approach with Banking Intermediation: a predictability analysis versus TVP-VARs. JOURNAL OF FINANCIAL STABILITY, doi.org/10.1016/j.jfs.2016.07.006

    BEKIROS S, AVDOULAS C, BOUBAKER S (2016). Detecting Nonlinear dependencies in Eurozone Peripheral Equity Markets: A multistep filtering approach. ECONOMIC MODELLING, doi.org/10.1016/j.econmod.2016.02.001

    BEKIROS S, UDDIN G (2016). Extreme Dependence under Uncertainty: An Application to Stock, Currency and Oil Markets. INTERNATIONAL REVIEW OF FINANCE, doi.org/10.1111/irfi.12095

    BEKIROS S, ANDREASSON P, NGUYEN DK, UDDIN G (2016). Impact of Speculation and Economic Uncertainty on Commodity Markets. INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, doi.org/10.1016/j.irfa.2015.11.005

    BEKIROS S, GUPTA R, MAJUMDAR A (2016). Incorporating Economic Policy Uncertainty in US Equity Premium Models: a Nonlinear Predictability Analysis. FINANCE RESEARCH LETTERS, doi.org/10.1016/j.frl.2016.01.012

    BEKIROS S, SANDOVAL L, NGUYEN DK, UDDIN G (2016). Information Diffusion, Cluster Formation & Entropy-Based Network Dynamics in Equity & Commodity Markets. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, doi.org/10.1016/j.ejor.2016.06.052

    BEKIROS S, GUPTA R, KYEI C (2016). On Economic Uncertainty, Stock Market Predictability and Nonlinear Spillover Effects. NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, doi.org/10.1016/j.najef.2016.01.003

    BEKIROS S, NGUYEN D, UDDIN G, SJÖ B (2016). On the Time Scale Behavior of Equity-Commodity Links: Implications for Portfolio Management. JOURNAL OF INTERNATIONAL FINANCIAL MARKETS, INSTITUTIONS & MONEY, doi.org/10.1016/j.intfin.2015.12.003

    BEKIROS S, PACCAGNINI A (2016). Policy-oriented macroeconomic forecasting with hybrid DGSE and Time-Varying parameter VAR models. JOURNAL OF FORECASTING, doi.org/10.1002/for.2401

    BEKIROS S, BALCILAR M, GUPTA R (2016). The Role of News-Based Uncertainty Indices in Predicting Oil Markets: A Hybrid Nonparametric Quantile Causality Method. EMPIRICAL ECONOMICS, doi.org/10.1007/s00181-016-1150-0

    BEKIROS S, AVDOULAS C, BOUBAKER S (2015). Evolutionary-based return forecasting with nonlinear STAR models: evidence from the Eurozone peripheral stock markets. ANNALS OF OPERATIONS RESEARCH, doi.org/10.1007/s10479-015-2078-z

    BEKIROS S, NGUYEN D, UDDIN G, SJÖ B (2015). Business Cycle (De)Synchronization in the Aftermath of the Global Financial Crisis: Implications for the Euro Area. STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS, doi.org/10.1515/snde-2014-0055

    BEKIROS S, PACCAGNINI A (2015). Estimating point and density forecasts for the US Economy with a Factor-Augmented Vector Autoregressive DSGE model. STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS, doi.org/10.1515/snde-2013-0061

    BEKIROS S (2015). Heuristic Learning in Intraday Trading under Uncertainty. JOURNAL OF EMPIRICAL FINANCE, doi.org/10.1016/j.jempfin.2014.11.002

    BEKIROS S, HAMMOUDEH S, HERNANDEZ JA, NGUYEN D (2015). Multivariate Dependence Risk and Portfolio Optimization: an application to Mining Stock Portfolios. RESOURCES POLICY, doi.org/10.1016/j.resourpol.2015.07.003

    BEKIROS S, GUPTA R, PACCAGNINI A (2015). Oil Price Forecastability and Economic Uncertainty. ECONOMICS LETTERS, doi.org/10.1016/j.econlet.2015.04.023

    BEKIROS S, GUPTA R (2015). Predicting Stock Returns and Volatility using Consumption-Aggregate Wealth Ratios: a Nonlinear approach. ECONOMICS LETTERS, doi.org/10.1016/j.econlet.2015.03.019

    BEKIROS S, PACCAGNINI A (2015). Macroprudential policy and forecasting using Hybrid DSGE models with financial frictions and State space Markov-Switching TVP-VARs. MACROECONOMIC DYNAMICS, doi.org/10.1017/S1365100513000953

    BEKIROS S, PACCAGNINI A (2014). Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models. COMPUTATIONAL STATISTICS & DATA ANALYSIS, doi.org/10.1016/j.csda.2013.09.018

    BEKIROS S (2014). Contagion, Decoupling and the Spillover Effects of the US Financial Crisis: Evidence from the BRIC Markets. INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, doi.org/10.1016/j.irfa.2013.07.007

    BEKIROS S (2014). Exchange Rates and Fundamentals: Co-Movement, Long-Run Relationships and Short-Run Dynamics. JOURNAL OF BANKING & FINANCE, doi.org/10.1016/j.jbankfin.2013.11.007

    BEKIROS S (2014). Forecasting with A State Space Time-Varying Parameter VAR model: evidence from the Euro Area. ECONOMIC MODELLING, doi.org/10.1016/j.econmod.2014.02.015

    BEKIROS S (2014). Nonlinear Causality testing with Stepwise Multivariate Filtering: Evidence from Stock and Currency Markets. NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, doi.org/10.1016/j.najef.2014.06.005

    BEKIROS S (2014). Timescale Analysis with an Entropy-based Shift-Invariant Discrete Wavelet Transform. COMPUTATIONAL ECONOMICS, doi.org/10.1007/s10614-013-9381-z

    BEKIROS S (2013). Irrational fads, Short-term memory emulation & asset predictability. REVIEW OF FINANCIAL ECONOMICS, doi.org/10.1016/j.rfe.2013.05.005

    BEKIROS S, PACCAGNINI A (2013). On the predictability of Time-Varying VAR and DSGE models. EMPIRICAL ECONOMICS, doi.org/10.1007/s00181-012-0623-z

    BEKIROS S, MARCELLINO M (2013). The multiscale causal dynamics of foreign exchange markets. JOURNAL OF INTERNATIONAL MONEY AND FINANCE, doi.org/10.1016/j.jimonfin.2012.11.016

    BEKIROS S (2010). Sign prediction and volatility dynamics with hybrid neurofuzzy approaches. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, doi.org/10.1109/TNN.2011.2169497

    BEKIROS S (2010). Heterogeneous Trading Strategies with Adaptive Fuzzy Actor-Critic Reinforcement Learning: a Behavioral Approach. JOURNAL OF ECONOMIC DYNAMICS & CONTROL, doi.org/10.1016/j.jedc.2010.01.015

    BEKIROS S (2009). A Robust algorithm for parameter estimation in Smooth Transition Autoregressive models. ECONOMICS LETTERS, doi.org/10.1016/j.econlet.2009.01.020

    BEKIROS S (2009). Fuzzy Adaptive Decision-Making for Boundedly Rational Traders in Speculative Stock Markets. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, doi.org/10.1016/j.ejor.2009.04.015

    BEKIROS S, GEORGOUTSOS D (2008). Direction-of-change forecasting using a Volatility based Recurrent Neural Network. JOURNAL OF FORECASTING, doi.org/10.1002/for.1063

    BEKIROS S, GEORGOUTSOS D (2008). Extreme Returns and the Contagion Effect between the Foreign Exchange and the Stock Market: Evidence from Cyprus. APPLIED FINANCIAL ECONOMICS, doi.org/10.1080/09603100601018823

    BEKIROS S, GEORGOUTSOS D (2008). Nonlinear dynamics in financial asset returns: The predictive power of CBOE Volatility Index. EUROPEAN JOURNAL OF FINANCE, doi.org/10.1080/13518470802042203

    BEKIROS S, GEORGOUTSOS D (2008). The Extreme-Value Dependence of Asia-Pacific Equity Markets. JOURNAL OF MULTINATIONAL FINANCIAL MANAGEMENT, doi.org/10.1016/j.mulfin.2007.08.003

    BEKIROS S, DIKS CGH (2008). The Nonlinear Dynamic Relationship of Exchange Rates: Parametric and Nonparametric Causality testing. JOURNAL OF MACROECONOMICS, doi.org/10.1016/j.jmacro.2008.04.001

    BEKIROS S, DIKS CGH (2008). The Relationship between Crude Oil Spot and Futures Prices: Cointegration, Linear and Nonlinear Causality. ENERGY ECONOMICS, doi.org/10.1016/j.eneco.2008.03.006

    BEKIROS S (2007). A Neurofuzzy Model for Stock Market Trading. APPLIED ECONOMICS LETTERS, doi.org/10.1080/13504850500425717

    BEKIROS S, GEORGOUTSOS D (2007). Evaluating direction-of-change forecasting: Neurofuzzy Models vs. Neural Network. MATHEMATICAL AND COMPUTER MODELLING, doi.org/10.1016/j.mcm.2006.12.011

    BEKIROS S, GEORGOUTSOS D (2005). Estimation of Value-at-Risk by Extreme Value and Conventional Methods: a comparative evaluation of their predictive performance. JOURNAL OF INTERNATIONAL FINANCIAL MARKETS, INSTITUTIONS & MONEY, doi.org/10.1016/j.intfin.2004.05.002

    BEKIROS S, GEORGOUTSOS D (2004). Comparative Evaluation of Technical Trading Rules: Neurofuzzy Models vs. Recurrent Neural Networks. Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2004 (ICCMSE), Vsp/Brill, Vol 1, pp. 961-963

    BEKIROS S, GEORGOUTSOS D (2003). Is the Correlation in International Equity Markets Constant? Proceedings of the 6th Hellenic European Conference on Computer Mathematics and its Applications (HERCMA), Vol 1, pp. 21-22

     

    Books / Collective volumes

    “MEM-ELEMENTS FOR NEUROMORPHIC CIRCUITS WITH ARTIFICIAL INTELLIGENCE APPLICATIONS”, 2021, ELSEVIER IN “ADVANCES IN NONLINEAR DYNAMICS AND CHAOS (ANDC)”, with A. Yousefpour, H. Jahanshahi, J-M. Munoz-Pacheco, “Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications”, doi.org/10.1016/B978-0-12-821184-7.00032-3

    “INTERNET FINANCE”, 2020, IGI Global with Marta Vidal and Javier Vidal-García, “Start-Ups and SMEs: Concepts, Methodologies, Tools, and Applications”, 713-730, 9781799817604

    “MAXIMIZING BUSINESS PERFORMANCE AND EFFICIENCY THROUGH INTELLIGENT SYSTEMS”, 2017, IGI Global, with Marta Vidal and Javier Vidal-García, in Eds. Om Prakash Rishi & Anukrati Sharma, ISBN: 9781522522348

    “QUANTITATIVE METHODS IN FINANCE”, 2004, Gutenberg Publishers, ISBN: 9604021737

     

    Working papers / Research in progress

    “Herding Behavior, Market Sentiment And Volatility: Will The Bubble Resume?” (with M. Jlassi, B. Lucey, K. Naoui and G Uddin)

    “Analyzing Contagion And Tail Dependence In Global Real Estate Markets Using Nonparametric Flexible Copulas” (with G Uddin)

    “Multi-Scale Neural Network to Forecasting in Return-Volatility: An application to Crude Oil Market” (with G Uddin)

    “The Credit Cycle and Growth Dynamics in The United States” (with R. Nilanvongse and G. Uddin)

    “Credit Cycles and Start-Stop Economic Growth”, 2016 (with S.Solomou, G. Uddin and W. Wu)

    “Density forecasting using large-scale DGSE models and TVP-VARs with stochastic volatility”, 2013

    “Agent-Based Modelling: Estimation and Forecasting with Particle Filtering approaches”, 2014

    “Bayesian estimation for SAC-learning in fully fledged New-Keynesian models”, 2014

    “The multiscale causal dynamics of foreign exchange markets”, 2011, (with M. Marcellino), EUI ECO Working paper, 2011/22

    “Exchange Rates and Fundamentals: Co-Movement, Long-Run Relationships and Short-run Dynamics”, EUI ECO Working paper, 2011/21

    “Nonlinear causality testing with stepwise multivariate filtering”, EUI ECO Working paper, 2011/22

    “Correlation breakdown and extreme dependence in emerging equity markets”,(with D. Georgoutsos), EUI MWP Working paper, 2009/18

    “Boundedly rational learning and heterogeneous trading strategies with hybrid neuro-fuzzy models”, UvACeNDEF WP 09

    “The Nonlinear Dynamic Relationship of Exchange Rates: Parametric and Nonparametric Causality testing”, (with C.G.H. Diks), CeNDEF Working paper 07-08, University of Amsterdam

    “The Relationship between Crude Oil Spot and Futures Prices: Cointegration, Linear and Nonlinear Causality”, (with C.G.H. Diks), CeNDEF Working paper 07-11, University of Amsterdam

    Courses


    TEACHING PORTFOLIO / COURSES


    - “Big Data Science, ML & AI in Economics/Finance” (MSc/PhD level)

    - “Time Series Econometrics” (MSc level)

    - “Advanced Econometrics” (MSc level)

    - “Econophysics & Nonlinear Economic Dynamics” (MSc/PhD level)

    - “Complexity theory in Economics” (MSc/PhD level)

    - “Advanced Econometrics” (PhD/MSc, BSc & ERASMUS level)

    - “Tokenization, Blockchain & DeFi” (MSc/PhD level)

    - “Crypto-Econometrics, Algorithmic trading & Technical analysis” (crash course mode)

    - “Econometrics in Banking & Finance” (BSc/MSc level)

    - “Spectral & Nonparametric Econometrics” (crash course mode)

    - “Stochastic Differential Equations & Martingales with Applications in Derivatives Markets” (BSc level/MSc level)

    - “OR & Decision/Expert Systems” (MEng/PhD level) School of Electrical & Computer Engineering, (NTUA)

    - “Computational Finance & Econometrics” (ERASMUS++ level)

    - “Quantitative Methods in Economics & Finance” (BSc in Finance)

    - “Financial Engineering & Risk Measurement” (BSc/MSc level)

     

    Research topics

    I) GLOBAL RANKINGS

    Personal Webpage

    1. TOP 0.3% for 2024 in the Stanford’s most distinguished TOP 2% scientists list (Ioannidis Johh P.A., 2024), and at the TOP 0.4% for 2023.

    2. According to2022-2023 AD Index, Scopus,ScholarGPS™ (ID: 60455308873206, dataset up to 2022) the worldwide ranks are:

    - “Highly Ranked Scholar of Lifetime Achievement” internationally at TOP 0.45% “Overall ALL scientific fields“

    - Number #1 in “FX/Currency Economics” field (TOP 0.0%)

    - Number #53 in “Economics” field (TOP 0.37%)  

    - Number #148 in “Social Sciences” field (TOP 0.53%)

    - TOP 0.45%  in “Overall achievement in ALL scientificfields” i.e., across andwithin inter- and multi-disciplinary fields

    3. Top 2% “Economists Worldwide” , AD Scientific Index

    4. According to IDEAS, Web of Science his worldwide ranks are:

    - TOP 0.5% in “Blockchain”, “Econometrics”, “Quantum AI”, “Machine Learning”, “FinTech/Finance”, “Econophysics” and “Complex Systems Science”

    5. According to Google Scholar his worldwide ranks are:

    - Over + 12,500 citations

    -  h-index = 59

    - i10-index = 190

    II) SHORT BIO

    Professor Bekiros ranks at the TOP 0.3% for 2024 in the Stanford’s most distinguished TOP 2% scientists list (Ioannidis Johh P.A., 2024), and at the TOP 0.4% for 2023.

    Professor Dr. Stelios Bekiros (ScholarGPS™ ID: 60455308873206) ranks as the “Highly Ranked Scholar of Overall Lifetime Achievement” internationally at the TOP 0.45% “Overall ALL scientific fields“.

    For the “Period 5 Years Prior” he ranks (ScholarGPS™ ID: 60455308873206) internationally at the TOP 0.02% “Overall LIFETIME achievement in ALL scientific fields” in inter- and multi-disciplinary fields. In particular, he ranks worldwide #1 in “FX/Currency Economics” (Top 0.0%) field, he ranks worldwide #53 in “Economics” (Top 0.02%) field, and globally #148 in “Social Sciences” (Top 0.01%) field.     

    Moreover, Professor Bekiros ranks at IDEAS, Google Scholar, Web of Science, Scopus among the Top 0.5% authors worldwide in the fields e.g., of “Blockchain”, “Econometrics”, “Quantum AI”, “Machine Learning”, “FinTech/Finance”, “Econophysics” and “Complex Systems Science”.

    He ranks at the Top 2% “Economists Worldwide 2025″, according to AD Scientific Index.

    Professor Bekiros obtained a Dipl.-Ing / BEng and an MEng in Electrical and Computer Engineering (spec. Artificial Intelligence, Software Engineering, Control Systems) from National Technical University of Athens (NTUA). He also holds an MSc in Decision Sciences (spec. Statistics, Financial Engineering, Operations Research and Computer Science) and a PhD in Big Data Science & Computational Econometrics with Machine Learning from Athens University of Economics and Business (AUEB). He has more than twenty five years of postdoctoral research and teaching experience in many distinguished universities, centres and research institutions, mainly in the Netherlands, Italy, France, UK and Greece. He was a faculty member/research fellow at the European Institute for Statistics, Probability, Stochastic Operations Research and its Applications (EURANDOM), Technical University of Eindhoven, at the Center for Nonlinear Dynamics in Economics and Finance (CeNDEF) of the Faculty of Economics and Econometrics of the University of Amsterdam, at the Department of Economics of the European University Institute (EUI) in Florence (Italy), at the Hellenic Ministry of Finance, at the Centre of Planning and Economic Research (KEPE), at the IPAG Business School in Paris, France, and at the Decision Support Systems Laboratory of the National Technical University of Athens. 

    He has been awarded numerous prestigious Grants including the Max Weber Fellowship – the largest postdoctoral programme in the social sciences in the world hosted by the EUI and funded by the European Commission (DG Education) – three MSCA Fellowships & Awards for pioneering work on multidisciplinary research, many national grants/awards by the EU, NWO, RC-AUEB/GSRT and he was appointed Scientific director of European EC projects (FP-7, H2020) at EU universities and institutions.

    In the past he held research and postdoctoral positions at some of the most pioneering and prestigious academic centres and institutes in the world such as, at the European Institute for Statistics, Probability, Stochastic Operations Research and its Applications (EURANDOM), at the Center for Nonlinear Dynamics in Economics and Finance (CeNDEF) and the European University Institute (EUI), among other.

    Professor Bekiros holds Four (4) Habilitations (ASN-MIUR) in Econometrics, Statistics, Operations Research & Mathematical Methods in Economics, Insurance & Finance, and Economic Policy. He was elected in 2019 Full Professor of Economic Statistics at the Dept. of Statistical Sciences of the University of Padova, Italy. He is Chair Full Professor of Economics at ‘Valter Cantino’ School of Management & Economics at the University of Turin (UniTo). He was Joint Chair Full Professor of FinTech/AI, Econometrics & Data Science at the Faculty of Economics & Management (FEMA) of the University of Malta, Research Full Professor at the IPAG Business School, Senior fellow of the LABEX ReFi / Financial Regulation Lab, and Senior Fellow of the LSE Health Center at the Department of Health Policy, London School of Economics (LSE). He is currently a Senior fellow at the Rimini Centre for Economic Analysis (RCEA),  ADEMU affiliated researcher at the European University Institute and senior visiting fellow. Professor Bekiros has also worked in other research positions in the academia and as an engineering & financial expert consultant in the public and private sector. 

    He is the only researcher who has been awarded four (4) prestigious European Fellowships, in particular three (3) Marie Skłodowska-Curie (MSCA) Fellowships by the EU (2011, 2013, 2015) for pioneering multidisciplinary work at the intersection of many scientific fields, as well as one Max Weber Fellowship (MWP) in economics by the European Commission, hosted at the EUI (2009). Professor Bekiros strongly emphasizes multidisciplinary, interdisciplinary and trans-disciplinary research in studying the complexity of economic, social and natural systems through applying future technologies’ approaches, ranging from Quantum Computing, Blockchain, Computer Science & Software Engineering, Big Data Science, Machine Learning, Artificial Intelligence, Statistical Mechanics, Control Theory, Physics, Electrical Engineering, Earth Sciences, Meteorology and Seismology, up to Economics, Hypergame theory, Warfare and Military studies, Legal and regulatory studies (Ethics), Brain and Cognitive sciences, Psychology, Bioinformatics, Life Sciences, Health Policy, Biopharmaceutics, Pharmacokinetics, Neuroscience and Medicine.

    Professor Dr. Stelios Bekiros is a pioneer in developing and applying new approaches in Artificial Intelligence, Machine Learning, Econophysics and Complex Systems Science in many disciplines, particularly in social and natural sciences. Back in 1998, under the scope of his MEng thesis, he developed a novel AI-driven Genetic Algorithm in conjunction with nonlinear Operations Research and Computational Game Theory utilised to optimise the returns of synthetic structured derivatives’ portfolios while at the same time mitigating the environmental, operational, financial and climate risks. The model was developed within the context of early attempts in deploying deregulated energy markets with heterogeneous agents, investors, speculators, arbitrageurs, institutional and regulatory stakeholders. In his MSc thesis (2001) he employed complex theory approaches, ranging from earth sciences, meteorology, climate and environmental sciences, to hydrology, structural engineering, seismology, multivariate extreme value statistics (EVT) and chaotic dynamics, in building new mathematical and empirical models of superior forecastability in social, natural and physical systems. In his PhD dissertation (2004) he was one of the first early scholars to utilize mathematical biology models of self-organised fractality originating from Statistical Mechanics and Complexity theory, in conjunction with models of inherent Heisenberg indeterminacy and Stochastic uncertainty derived from Quantum Mechanics. The aim was to develop an Integrated Artificial Intelligence System capable of processing, forecasting and nowcasting multi-dimensional variable & parameter Big Data-driven models, during crises outbreaks. The Hybrid modeling which incorporated Deep Reinforcement Learning (Recurrent Chaotic Neural Networks) and a Robust Actor-Critic Fuzzy Controller, was fine-tuned by Bayesian hyper-parameter training and was deployed after pre-filtering and post-processing the Data Pipelines through spectral and time-scale Wavelet filters (Maximum Overlap Discrete & Continuous Transforms). Some of his early pioneering works, include Bekiros et. al (2004), Bekiros et. al (2005), Bekiros (2007), Bekiros et. al (2008), Bekiros (2009), Bekiros (2010), Bekiros (2015) among other.

    He has participated in numerous conferences and academic seminars and has been an invited speaker in many prestigious universities and institutions. During the last twenty five years he has served as principal investigator, project manager or team member in many European and national research projects (e.g., H2020, FP7, Max Weber Programme, EC-MSCA, Netherlands organization for scientific research-NWO, EU 3rd Framework Programme, EIB, EC DG-XIII/ESPRIT, EPET-II/Hellenic Ministry of Development, Cyprus RPF/Penek etc.). Amongst many current projects he served as Principal Investigator (UM partner) in a Mega-EU Grant project implemented under the Action programme CL4-2022-DATA-01 of the Horizon Framework Programme for Research and Innovation (2021-2027) entitled: “Promoting and Incentivising Federated, Trusted, and Fair Sharing and Trading of Interoperable Data ASsets” (Acronym “PISTIS”). It comprised a consortium of 104 partners coordinated by Fraunhofer Society for the Advancement of Applied Research, which is the biggest organization for applied research and development services in Europe. Fraunhofer is a German research organization of 76 institutes spread throughout Germany, each focusing on different fields of applied science with some 29,000 employees, mainly scientists and engineers, and an annual research budget of about €2.8 billion.

    Professor Bekiros serves as expert evaluator for the NSERC (Natural Sciences and Engineering Research Council of Canada) and the NSF (USA), expert evaluator for the QS Reputation Survey – QS World University Rankings, expert evaluator/vice-chair for the European Commission (EU-REA panels, Horizon programme), expert evaluator for the Swiss National Science Foundation (SNF), a WES expert for Ifo Institute (Leibniz Institute for Economic Research, University of Munich), expert project evaluator for “la Caixa Barcelona Institute” Banking Foundation, economic expert for the Bank of Finland, CEPR, Oxford University, international expert for Paris Region Fellowship Programme (ParisRegionFP), H2020 Orientation Service de la Recherche et Culture Scientifique, and evaluator of Research for GSRT (Hellenic Ministry of Education). He has been a Visiting scholar at Cambridge University (UK), LUISS Guido Carli (Rome, Italy), Queen Mary University of London (UK), Linköping University (Sweden), University of Amsterdam (The Netherlands), European University Institute (Florence, Italy) and IPAG Business School (Paris, France).

    He is Editor-in-Chief, Academic Editor, Co-Editor and Assc Editor for more than 20 prestigious Journals: “PLOS ONE“, Plos; “Chaos, Solitons & Fractals“, Elsevier; “Economics – Innovative And Economic Research Journal“, De Gruyter; “INFORMS Journal on Applied Analytics (IJAA) (formerly Interfaces)“; “Entropy” Journal; “Big Data Analytics”, Springer-Nature; “Journal of Economic Surveys” Wiley, “Risk Analysis“, Wiley; “Journal of Forecasting“, Wiley; “Computational Economics“, Springer; “Review of Behavioral Economics“; “Review of Behavioral Finance“; “Quantitative Finance & Economics“; “International Review of Financial Analysis“, Elsevier; “Journal of International Financial Markets Institutions & Money“, Elsevier; “Finance Research Letters“, Elsevier; “Heliyon“, Elsevier; “Emerging Markets Finance and Trade“, Taylor & Francis; “International Review of Economics & Finance“, Elsevier; “Alexandria Engineering Journal“, Elsevier; “Forecasting” journal; “Technology in Society”, Elsevier etc.

    His work, with presently over 320 articles, has been published in the most highly esteemed academic journals and in books and proceedings in many scientific fields. He has currently many articles under review in distinguished journals, writes a book and co-edits Special Issues and collective volumes.

    His research interests include among other: Quantum Machine Learning & Artificial Intelligence, Economics, Blockchain Technology, DeFi, FinTech, Big Data Science, IoT, Chaos and Econophysics, Hypergame theory, Epigenomics, Computational Medicine, Bioinformatics, Computational Econometrics, Extreme and Bayesian Statistics, Complex Systems, Quantum & Statistical Mechanics, Control Theory, Electrical Engineering, Meteorology, Earthquake science, Brain and Cognitive sciences, Health Economics, Neuroscience, Financial Engineering, Electrical & Computer Engineering, Military studies, Legal studies & Ethics and Cyber-security. He acts as a referee for top journals in many scientific disciplines aside from economics, and in 2010 he was given the best reviewer award by the prestigious European Journal of Operational Research (EJOR, Elsevier), and in 2016 by the Journal of Empirical Finance (Elsevier). He is a member of the European Area Business Cycle Network (EABCN), the Econometric Society, Royal Economic Society, the European Economic Association, the Society of Financial Econometrics, the IEEE Computational Intelligence Society, INFORMS, the Society for Computational Economics (SCE), the Society for Economic Measurement (SEM) and the Rimini Centre for Economic Analysis (RCEA). He was Senior Fellow at the LSE Health Center of London School of Economics (LSE).

    Beyond his academic profile, Prof. Bekiros holds an MMUS in music theory and guitar performance in various genres such as jazz, classical, rock, folk, fusion etc. He served in the military, specifically in Armor (black berets) and Artillery (blue berets) arms, where he was trained for active combatant unrestricted service I-1 (equivalent 1-A USA). He is inspired by the philosophies of all martial arts. Sensei Bekiros is an accomplished Black Belt Dan Ju-Jitsu Master (JJ International Federation), a Mixed Martial Arts (MMA) instructor, an ISU certified Self-defense instructor by the International StreetFighting Union (ISU), and a disciple of DAS streetfighting system. He has certified seminar training in Aikido, and knowledge of advanced armed and unarmed combat techniques in the Israeli elite forces system of Krav-Maga. During recent years, he trains in Muay Thai, Silat and Filipino martial arts.

    POST-DOCTORAL MSCA FELLOWSHIPS ANNOUNCED

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    For further information on current research projects & collaborations, citations, refereeing, list of grants and fellowships, working papers, conferences / seminars / presentations, technical skills, workshops, membership associations, visiting positions, PhD/MSc supervisions, references etc. (more detailed CV), please use any of the email addresses provided in my contact page

    Το σύνολο των γνωστικών αντικειμένων στα οποία εμπίπτει και τα οποία θεραπεύει είναι 160, και έχουν επίσημα εγκριθεί από το ΥΠΑΙΘ, στην κατηγορία/προφίλ Καθηγητή Αλλοδαπής με κωδικό ΑΠΕΛΛΑ: 35577 (π.χ, χρημ/κά αγορών χρήματος, ισοτιμιών, κεφαλαίου, παραγώγων, ομολόγων, κρυπτο-νομισμάτων κ.λπ). Οι αντίστοιχες βεβαιώσεις απασχόλησης, διδασκαλίας, διοικητικού έργου, επιβλέψεων διδ. & μεταδιδακτόρων, συμμετοχής & διοίκησης εθνικών & EU/EC έργων, είναι εγγεγραμμένες στο μητρώο των ιδρυμάτων στα οποία διατελεί καθηγητής  

     

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