The role of information in economic dynamics is examined. A misconception that the removal of uncertainty always brings additional stability to an existing equilibrium is clarified. It is shown that the relation between information and equilibrium stability is not monotonic. Removing information...

Chow et al. (2011) apply three time-varying parameter methods to investigate the relationship between the stock markets of Shanghai and New York and find that the mutual influence between the two markets has increased since 2002. We reconsider their approaches and find that two suffer from...

In this paper we examine assets price deviation in a multi-market system with heterogeneous investors in each market. Coupled map lattices (CML) is introduced to the market maker framework. It results in market cluster sharing the same sign of deviation in the chaotic interval. Distribution...

By applying the deterministic heterogenous agent model developed by Huang et al. [Financial crises and interacting heterogeneous agents. <italic>Journal of Economic Dynamics and Control</italic> 34, no. 6: 1105--22], this paper examines the phenomena of asymmetric returns, gradual bubbles and sudden crashes. It...

We propose a two-market heterogeneous agents model with coupling mechanism to study Financial crisis with contagion effect. It manages to calibrate sudden crash behavior of US and UK stock markets during "Black Monday" of 1987 besides smooth crisis and disturbing crisis categorized in...

With the development of globalization and regional economic integration, regional markets linked with a common currency emerge, in which investors from domestic market are allowed to trade in foreign markets. Empirical studies have evidenced extensively the existence of co-movement of asset...

This study explores the topic of the predictability of direct real estate prices in the short-run and the risks facing investors via a case study. Two models are estimated using heteroscedastic and autocorrelation robust ML method. Possible structural shifts of the models are examined. The one...

In this paper, we propose the use of wavelet covariance and correlation to detect spurious regression. Based on Monte Carlo simulation results and experiments with real exchange rate data, it is shown that the wavelet approach is able to detect spurious relationship in a bivariate time series...