This paper investigates the differences in structures of causal relationships between stock and currency markets for advanced and emerging economies on the example of Switzerland and Poland. The bootstrap–based linear causality analysis as well as nonlinear causality tests were conducted for...

This paper aims to explore links between the Indian stock market and three developed Asian markets (i.e. Hong Kong, Japan and Singapore). The index prices are non-stationary so we used cointegration methodologies in order to explore interdependencies. Johansen methodologies reject the hypothesis...

For both risk management and portfolio selection purposes, modeling the linkage across financial markets is crucial, especially among neighboring stock markets. In investigating the dependence or co-movement of three or more stock markets in different countries, researchers frequently use...

In this paper, we have investigated the effects of Asia 97 crisis on Malaysian stock exchange market by using a nonlinear approach which gives a detailed analysis with respect to linear counterparts. Specifically, we are using generalized impulse response function (GIRF) in order to see the...

This study attempts to conduct an investigation of the characteristics of the South Asian stock markets including the effects of the opening of these markets. These markets were liberalised in early 1990s as a part of the economic reforms started in the South Asian region about two decades ago....

Abstract In a recent paper exploring the relationship between a country's financial system, industrialisation and economic development, I concluded that stock markets are potent symbols of capitalism but paradoxically capitalism flourishes better without them (Singh 1997). It will be argued in...

Abstract In a famous passage in chapter 12 of the General Theory, Keynes observed: As the organisation of investment markets improves, the risk of the predominance of speculation does, however, increase. In one of the greatest investment markets in the world, namely, New York, the influence of...

We propose a new model for the variance between multiple time series, the Regime Switching Dynamic Correlation. We decompose the covariances into correlations and standard deviations and the correlation matrix follow a regime switching model; it is constant within a regime but different across...

Using weekly returns of S&P 500 constituents, we study the time-varying correlation structure during the period of 2006 to mid-2011. Contrary to most of the previous correlation studies of many assets, we do not use rolling correlations but the DCC MV-GARCH model with the MacGyver strategy...

This paper introduces the idea that the variances or correlations in financial returns may all change conditionally and slowly over time. A multi-step local dynamic conditional correlation model is proposed for simultaneously modelling these components. In particular, the local and conditional...