A multilateral approach to examining the comovements among major world equity markets

This study investigates the comovement in stock indices among major developed markets, where Morgan Stanley Capital International (MSCI) indices are employed for the purposes of the study. We employ a model that accommodates multilateral international impacts on equity index movements. The empirical results reveal the existence of significant international transmission effects among these major world markets, both in terms of returns and volatility, and mostly in a positive direction. The U.S. market, as expected, is the leading market in the sense that it has the most pervasive and significant impact on all markets across continents. However, the U.S. market exhibits a different relationship with European markets from that with Asia-Pacific markets. The evidence also suggests that strong regional transmission effects exist. A further investigation using the extended model reveals that the linkages between U.S. and European markets are driven by positive global common forces and by negative international competitive effects. On the other hand, the U.S. and Asian markets are linked through positive global common forces and positive international contagion effects. The United States, Canada, and the U.K. are the three markets that still demonstrate contagion influence over countries outside its own region. The Asia-Pacific markets are more susceptible to contagion effects. Finally, it is interesting to find that Japanese market performance became more contagious toward other markets during the Asian financial crisis period.     

Intraday return spillovers and its variations across trading sessions

The main purpose of this paper is to study the intraday return spillovers and their real time variations amongst selected technology stocks. Based upon randomly selected technology stocks in terms of multilateral analysis, we find the following evidence. Firstly, we find that positive spillover effects are discernible amongst medium- and large-sized stocks, with the effects being directionally asymmetric between different size groups. Secondly, we find that for most stocks, the full effects of the firm-specific shocks over other stocks are realized within approximately 30 min to 2 h. Finally, we show that the spillover effects tend to follow an M-shaped intraday pattern. Our results suggest that during the opening and closing sessions, trades motivated by information spilled over from other firms are relatively subordinated, with the trading at these times being largely dominated by those based upon common market factor or firm-specific fundamental information.     

Effectiveness of copula-extreme value theory in estimating value-at-risk: empirical evidence from Asian emerging markets

A traditional Monte Carlo simulation using linear correlations induces estimation bias in measuring portfolio value-at-risk (VaR), due to the well-documented existence of fat-tail, skewness, truncations, and non-linear relations in return distributions. In this paper, we consider the above issues in modeling VaR and evaluate the effectiveness of using copula-extreme-value-based semiparametric approaches. To assess portfolio risk in six Asian markets, we incorporate a combination of extreme value theory (EVT) and various copulas to build joint distributions of returns. A backtesting analysis using a Monte Carlo VaR simulation suggests that the Clayton copula-EVT evinces the best performance regardless of the shapes of the return distributions, and that in general the copulas with the EVT provide better estimations of VaRs than the copulas with conventionally employed empirical distributions. These findings still hold in conditional-coverage-based backtesting. These findings indicate the economic significance of incorporating the down-side shock in risk management.     

A re-examination of exposure to exchange rate risk: The impact of earnings management and currency derivative usage

In an attempt to explain the weak evidence of priced exchange rate risk, we hypothesize that in addition to currency derivative usages, earnings management serves as another factor contributing to a reduction in exchange rate exposure. Our evidence reveals that earnings management activities, particularly those undertaken for the purpose of income smoothing, significantly reduce firm-specific exchange rate exposure, and that such role is particularly important if appropriate currency derivative instruments are limited. These results complement prior attempts to explain the puzzle of unpriced exchange rate risk. The investigation also highlights the importance of recognizing different managerial purposes behind discretionary accruals.     

Stock price synchronicities and speculative trading in emerging markets

The literature suggests that the strong price synchronicity observed in emerging markets is driven by the lack of firm-specific information acquisition. This paper extends previous studies by focusing on the question of whether investors’ speculative trading behavior or market conditions make the synchronicity in emerging markets more pronounced. Our results indicate that the propensity to engage in speculative trades and a low level of linkage with the world market lead to greater stock price synchronicity. These results are consistent with the hypotheses that it is difficult to price firm-level fundamentals in a speculative market where noise trades prevail, and that less weight is attached to firm-specific fundamentals in pricing stocks in a more segmented market. The price synchronicities are largely found to be stronger in bearish markets, a finding consistent with the hypothesis that investors have increased loss aversion during bear markets, which further limits informed arbitrage.     

An empirical investigation of the two-factor Brennan-Schwartz term structure model

This paper studies the pricing behaviors of default-free bonds based on the two-factor model by Brennan and Schwartz (1979), where a short-term spot rate and a long-term consol rate are the state variables. The logarithm of these two factors is assumed to follow a linear transformation of an Ornstein-Uhlenbeck process. An exact discrete time model is derived to estimate the parameters in the process. The model prices are then numerically solved. The sensitivity analysis indicates that the long-rate process, especially the long-rate volatility parameter, is important in characterizing the term structure of interest rates.