In the age of globalization, it is natural that the stock market of each country is not independent form the other markets. In this case, collective behavior could be emerged form their dependency together. This article studies the collective behavior of a set of forty influential markets in the world economy with the aim of exploring a global financial structure that could be called world-stoc...

This paper investigates the common volatility structure of Taiwan’s stock and exchange rate markets. The two markets are often linked together and we are interested in knowing whether price or volume is a good proxy to pursue this issue. We claim that Taiwanese government interventions distort the timing of conventional price volatility clustering in the two markets. The unrestricted trading vo...

This paper examines volatility spillovers between the stock and currency markets of ten Asian economies in the period 2003 to 2014. To carry out this analysis, a multivariate asymmetric GARCH model is used. In general, our results present evidence of bidirectional volatility spillovers between both markets, independently of the individual country’s level of development. Additionally, our findin...

The behaviour of multiple stock markets can be described within the framework of complex dynamic systems (CDS). A representative technique of the framework is the dynamic interaction network (DIN), recently developed in the bioinformatics domain (Chan et al., 2006). DINs are capable of modelling dynamic interactions between genes and predicting their future expressions. In this paper, we adopt ...

Despite the voluminous empirical research on the potential predictability of stock returns, much less attention has been paid to the predictability of bear and bull stock markets. In this study, the aim is to predict U.S. bear and bull stock markets with dynamic binary time series models. Based on the analysis of the monthly U.S. data set, bear and bull markets are predictable in and out of sam...

This article applied GARCH model instead AR or ARMA model to compare with the standard BP and SVM in forecasting of the four international including two Asian stock markets indices.These models were evaluated on five performance metrics or criteria. Our experimental results showed the superiority of SVM and GARCH models, compared to the standard BP in forecasting of the four international stock...

Is the increased volatility on the Swedish stock market due to increased sensitivity to foreign markets or to inherently Swedish factors? The findings in this paper is that the foreign influence on the Swedish stock market shows a clear positive trend while purely domestic factors have not become more volatile. World influence on domestic stock markets is also substantially larger during intern...

The task of stock index prediction is presented in this paper. The data is gathered at the target stock market (DAX) and two other markets (KOSPI and DJIA). The data contains not only raw numerical values from the markets but also indicators pre-processed in terms of technical analysis, i.e. oscillators and patterns. Statistical analysis and the genetic algorithm are used to create the proper s...

This study uses a cointegration analysis and vector autoregressive models to investigate the transmission of stock price movements among Taiwan and its major trading partners, Hong Kong, Japan and the United States. The results of Johansen cointegration test indicate that four stock markets considered are cointegrated with one cointegrating vector, which violates the semi-strong form of the mar...

The current international integration of financial markets provides a channel for currency depreciation to affect stock prices. Moreover, the recent financial crisis in Asia with its accompanying exchange rate volatility affords a case study to examine that channel. This paper applies a bivariate GARCH-M model of the reduced form of stock market returns to investigate empirically the effects of...