Market conditions and the effect of diversification on mutual fund performance: should funds be more concentrative under crisis?

This paper investigates the non-monotonic and non-linear effect of diversification on mutual fund performance. We apply a frontier-based efficiency measure, the stochastic frontier approach, to estimate fund efficiency and the benefit of diversification. The empirical results indicate that concentration strategy may not be appropriate for fund managers, and the benefit of diversification disappears or negatively affects performance when a fund holds too large a number of different stocks. Moreover, this paper examines whether market conditions moderate the relation between diversification and fund performance. The result shows that the benefit of diversification increases within low market return, high market volatility, and financial crisis, implying that the number of stocks needed to achieve a well-diversified portfolio increases under such market conditions.     

The impact of third-country effects and economic integration on China's outward FDI

The study employs a spatial econometric model to explore the impact of third-country effects and economic integration on China's outward FDI (OFDI). The results show that the pattern of China's OFDI tends toward a complex FDI without third-country effects. The degree of economic integration and host country's political risk both have a negative influence on China's OFDI. Furthermore, greater cultural proximity between China and the host country, as well as greater per capita income (market size), both have significant benefits to China's OFDI. The host country's market opportunity has a significant negative effect on China's OFDI.     

Modeling the Taiwan Stock Market and International Linkages

This paper analyzes the Taiwan stock market and examines its price and volatility linkages with those of the United States. In particular, it tests the hypothesis that the short-term volatility and price changes spill over from the developed markets, mainly the United States, to the emerging Taiwan stock market. The model and the test are built upon Engle's ARCH (autoregressive conditional heteroskedasticity) and Engle and Kroner's M-GARCH (multivariate generalized ARCH) models. The paper differs from previous studies on the Taiwan stock market in three respects. First, instead of using daily closing prices, it uses close-to-open and open-to-close returns to avoid the problem of overlapping samples. It carefully models the day-of-the-week effect in daily data to avoid misspecification of the model. Second, to circumvent the generated regressor problem arising from the two-step estimation procedure, it also employs the M-GARCH model where all parameters are estimated simultaneously. Third, the misspecification test is carried out on various kinds of asymmetric ARCH factors. A substantial volatility spillover effect is found from the US stock market to the Taiwan stock market, especially for the model using close-to-open returns. There is also evidence supporting a spillover effect in price changes. The findings can be explained by the recent gradual opening of the Taiwan stock market to foreign investors.     

On the plausibility of sunspot equilibria

This study examines the plausibility of the emergence of sunspot equilibria in an agent-based artificial stock market. Using the agent-based model, we make the sunspots explicit so that we can test, e.g., by means of the Granger causality test, whether purely extrinsic uncertainty can influence price dynamics. In addition, through agent-based simulation, the coordination process, which is mainly driven by genetic programming, becomes observable, which enables us to analyze what agents perceive and whether they believe in sunspots. By manipulating different control variables, three series of experiments are conducted. Generally speaking, the chances of observing “sunspot equilibria” in this agent-based artificial stock market are small. However, the sunspot believers can never be driven out of the market. Nevertheless, they are always outnumbered by fundamental believers, which is evidence that the market as collective behavior is rational. We also find that lengthening the time horizon will make it difficult for sunspot believers to survive.     

Determinants of futures contract success: Empirical examinations for the Asian futures markets

This study examines key factors that influence the success of exchange-traded futures contracts of Asian futures markets. The results show that successful futures contracts benefit from a large and volatile spot market. In addition, a smaller contract size has a positive effect on the futures trading volume, which in turn contributes to the success of the futures contract. For specific institutional factors, the choice of the trading platform and the relative size of exchanges are both important to the success of futures contracts.     

Determining the Optimum Process Mean under a Log-normal Distribution

Wen and Mergen [Quality Engineering (1999) vol. 11, pp. 505–509] used the unbalanced step loss function for measuring the cost of the nonconforming item and adopted a trade-off model for determining the optimum process mean. They assumed that the quality characteristic is normally distributed, the process variance is constant, and the process mean is unknown. In this paper, we further present the modified Wen and Mergens (1999) model with log-normal distribution. The step loss function and the piecewise linear loss function of product are considered in the modified model.     

Convenience yield and real exchange rate dynamics: A present-value interpretation

In this paper, we empirically investigate the relationship between the convenience yield of government bonds and the real exchange rates using monthly data from 1999 to 2018. We extend the conventional models, based on the present-value relationship between the real exchange rate and economic fundamentals, while explicitly considering the role of the convenience yield. Empirical results suggest that our present-value models can capture the dynamic properties of the real exchange rate documented in the literature, including high persistence, excess volatility and excess co-movement compared with real interest rate differentials. We also find that the sum of expected convenience yields significantly drives real exchange rate movements. Moreover, we find that foreign exchange swap market friction also plays a role in explaining real exchange rates. Finally, we find that monetary policy at the zero lower bound may be essential in real exchange rate modelling.