Xue‐Zhong He

ORCID: 0000-0003-1446-9996
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Research Areas
  • Complex Systems and Time Series Analysis
  • Financial Markets and Investment Strategies
  • Economic theories and models
  • Financial Risk and Volatility Modeling
  • Stochastic processes and financial applications
  • Market Dynamics and Volatility
  • Stock Market Forecasting Methods
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Nonlinear Differential Equations Analysis
  • Credit Risk and Financial Regulations
  • Monetary Policy and Economic Impact
  • Nonlinear Dynamics and Pattern Formation
  • Game Theory and Applications
  • Differential Equations and Numerical Methods
  • Capital Investment and Risk Analysis
  • Auction Theory and Applications
  • Evolution and Genetic Dynamics
  • Corporate Finance and Governance
  • Housing Market and Economics
  • Evolutionary Game Theory and Cooperation
  • Advanced Differential Equations and Dynamical Systems
  • Banking stability, regulation, efficiency
  • Experimental Behavioral Economics Studies
  • Global Financial Crisis and Policies
  • Auditing, Earnings Management, Governance

Xi’an Jiaotong-Liverpool University
2015-2024

NTT Medical Center
2024

St Vincent's Hospital
2023-2024

The University of Melbourne
2023

University of Technology Sydney
2013-2022

Research Network (United States)
2007-2021

Tianjin University
2018

Southwestern University of Finance and Economics
2018

Harbin Institute of Technology
2018

University of Florida
2017

It is shown that if the neuronal gains are small compared with synaptic connection weights, then a bidirectional associative memory network axonal signal transmission delays converges to equilibria associated exogenous inputs network. Both discrete and continuously distributed considered; asymptotic stability global in state space of activations also independent delays.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

10.1109/72.329700 article EN IEEE Transactions on Neural Networks 1994-01-01

10.1016/0167-2789(94)90043-4 article EN Physica D Nonlinear Phenomena 1994-09-01

10.1023/a:1014957310778 article EN Computational Economics 2002-01-01

In order to characterize asset price and wealth dynamics arising from the interaction of heterogeneous agents with CRRA utility, a discrete-time stationary model in terms return proportions (among different types agents) is established. When fundamentalists chartists are main model, it found that presence can have multiple steady states. The state unstable when extrapolate strongly (locally) stable they weakly. convergence follows an optimal selection principle - tend which has relatively...

10.1088/1469-7688/1/5/303 article EN Quantitative Finance 2001-05-01

10.1016/j.jedc.2005.08.014 article EN Journal of Economic Dynamics and Control 2006-05-20

The authors are indebted to the anonymous referee for a very detailed and insightful report on an earlier version of this paper that has led many improvements in current version. Address correspondence to: Tony He, School Finance Economics, University Technology, Sydney, P.O. Box 123 Broadway, NSW 2007, Australia; e-mail: tony.he1@uts.edu.au. This studies dynamics simple discounted present-value asset-pricing model where agents have different risk attitudes follow expectation formation...

10.1017/s1365100502020114 article EN Macroeconomic Dynamics 2003-08-01

10.1016/j.jedc.2004.09.003 article EN Journal of Economic Dynamics and Control 2004-12-15

10.1006/jmaa.1996.0087 article EN publisher-specific-oa Journal of Mathematical Analysis and Applications 1996-03-01

10.1016/j.jedc.2006.11.008 article EN Journal of Economic Dynamics and Control 2007-02-07

10.1016/j.jbankfin.2014.12.017 article EN Journal of Banking & Finance 2015-01-13

10.1016/j.jebo.2012.02.014 article EN Journal of Economic Behavior & Organization 2012-02-17

10.1016/j.jedc.2012.02.002 article EN Journal of Economic Dynamics and Control 2012-02-07

This study investigates the impact of investor sentiment on excess equity return forecasting. A high (low) may weaken connection between fundamental economic (behavioral-based nonfundamental) predictors and market returns. We find that although variables can be strong when is low, they tend to lose their predictive power high. Nonfundamental perform well during high-sentiment periods while ability deteriorates low. These paradigm shifts in forecasting provide a key understanding resolving...

10.1287/mnsc.2020.3834 article EN Management Science 2022-04-05

10.1006/jmaa.1997.5632 article EN publisher-specific-oa Journal of Mathematical Analysis and Applications 1997-11-01

10.1016/s0165-1889(01)00059-8 article EN Journal of Economic Dynamics and Control 2002-10-16

The oscillatory and asymptotic behaviour of the positive solutions autonomous neutral delay logistic equation with r, c, T, K ∈ (0, ∞) has been recently investigated in [2]. More dynamics periodic which are functions period τ m is a integer considered [6]. purpose following analysis to obtain sufficient conditions for existence linear stability solution Ṅ denotes K, c continuous at integer. For origin biological relevance (1.3) we refer

10.1017/s001708950000834x article EN Glasgow Mathematical Journal 1991-09-01

Abstract This paper is a contribution to the literature on explanatory power and calibration of heterogeneous asset pricing models. We set out new stochastic market-fraction model fundamentalists trend followers under market maker. Our explains key features financial behaviour such as dominance, convergence fundamental price under- over-reaction. use dynamics underlying deterministic system characterize these statistical properties, including limiting distribution autocorrelation structure....

10.1080/14697680601159500 article EN Quantitative Finance 2007-12-14

10.1016/j.jedc.2022.104438 article EN Journal of Economic Dynamics and Control 2022-05-19
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