This paper examines the dynamics of returns and order imbalances across the KOSPI 200 cash, futures and option markets. The information effect is more dominant than the liquidity effect in these markets. In addition, returns have more predictability power for the future movements of prices than...

The purpose of this study is to apply polynomial goal programming to establish a new portfolio selection model that considers the tradeoffs between expected return and Value-at-Risk (VaR) of portfolios and the flexibility of incorporating investor's preferences. The historical data of 10...

We use square root stochastic volatility with or without jump model to study the heteroskedasticity and jump behavior of the Thai Baht. Bayesian factor is used to evaluate the explanatory power of competing model. It turns out that the square root stochastic volatility model with independent...

In recent years, the formation of strategic alliances has become an increasingly common trend among developing countries around the world. In spite of this, the numerous attempts to comprehensively review the research on the correlation between these strategic alliances and stock prices over the...

This study extends the method of Guermat and Harris (2002), the Power EWMA (exponentially weighted moving average) method in conjunction with historical simulation to estimating portfolio Value-at-Risk (VaR). Using historical daily return data of three hypothetical portfolios formed by...

Empirical studies on the influence of tick-size reduction towards market liquidity have focused almost exclusively on quote-driven markets in developed nations, and generally their findings are based on time periods of less than one year. This work investigates the influence of tick-size...

The purpose of this study is to examine the impacts of alternative flotation methods on price performance of seasoned equity offerings, and to compare the competing hypotheses supported by asymmetric information theory and agency theory. Based on 385 sample issues which were listed in Taiwan...

This paper discusses the time-series cross-sectional (TSCS) regression and the prediction ability of the artificial neural network (ANN) by examining the panel data of debt ratios of the high tech industry in Taiwan. We build models with these two methods and eight determinants of debt ratio and...

This study highlights how banking regulation in Indonesia can be improved with a view to enhancing the cost-effectiveness of banking regulation and social welfare, and preventing future financial instability. We employ the Fries, Mella-Barral, and Perraudin (FMP) model (1997) and analyze the...

This study investigates the empirical relationship between the use of derivatives by Korean banks and risk. In doing so, we employ two alternative measures of proxy for firm risk: systematic risk and ex ante earnings volatility.Contrary to the general concerns about the risk-increasing role of...