Toward a universal higher education system: a case study of Taiwan

This study aims to scrutinize the antecedents that force the evolution of Taiwanese higher education from an elite to a universal system in the past two decades. From policy perspective, this study looks at how Taiwanese government encouraged educational reform in a way that has led to the massive expansion of both the numbers of colleges and universities and the increasing enrollment rate in higher education. This study also discusses the governmental policies that emphasized the quality enhancement and identified the lack of mechanism of quality assurance in Taiwan’s early educational reformation and how government reacted to the concerns associate with quality assurance that has been brought by the public after the educational reform. Taiwan’s case illustrated in this paper reveals a possible dilemma and lesson that developing countries may encounter when seeking to expand higher education for human capital by imposing incongruous policies that on the one hand promote the growth of higher education institutions, especially the private ones, and on the other depress their existence for the sake of quality assurance.     

Dynamic hedging with futures: A copula‐based GARCH model

In a number of earlier studies it has been demonstrated that the traditional regression‐based static approach is inappropriate for hedging with futures, with the result that a variety of alternative dynamic hedging strategies have emerged. In this study the authors propose a class of new copula‐based GARCH models for the estimation of the optimal hedge ratio and compare their effectiveness with that of other hedging models, including the conventional static, the constant conditional correlation (CCC) GARCH, and the dynamic conditional correlation (DCC) GARCH models. With regard to the reduction of variance in the returns of hedged portfolios, the empirical results show that in both the in‐sample and out‐of‐sample tests, with full flexibility in the distribution specifications, the copula‐based GARCH models perform more effectively than other dynamic hedging models. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:1095–1116, 2008     

The Determinants of Investor Valuation of R&D Expenditure in the Software Industry

This paper examines the cross-sectional variability in the market valuation of R&D expenditures in the pre-packaged computer software industry. Consistent with some prior research, this paper argues that R&D spending is valued heterogeneously by the stock market, and derives hypotheses regarding the determinants of the cross-sectional heterogeneity in the market valuation of R&D. The empirical tests use an extensive database containing product level information of software firms between 1994 and 1998, along with accounting and stock price data of the same period. The test results, consistent with our hypotheses, show that R&D spending is more valuable for firms with larger market shares, higher percentage of technical employees, and those that have diversified into different product categories. The results also indicate that market valuation of R&D spending is a function of product life cycle.     

Empirical Analysis of Stock Returns and Volatility: Evidence from Seven Asian Stock Markets Based on TAR-GARCH Model

This paper investigates the time-series behavior of stock returns for seven Asian stock markets. In most cases, higher average returns appear to be associated with a higher level of volatility. Testing the relationship between stock returns and unexpected volatility, the evidence shows that four out of seven Asian stock markets have significant results. Further analyzing the relationship between stock returns and time-varying volatility by using Threshold Autoregressive GARCH(1,1)-in-mean specification indicates that the null hypothesis of no asymmetric effect on the conditional volatility is rejected for the daily data. However, the null cannot be rejected for the monthly data.     

Why do Japanese giant trading companies prefer foreign currency to Japanese yen?

This article examines invoicing strategies in the presence of forward exchange markets. The choice of invoice currency is shown to depend upon the monopoly power traders possess. If the exporter has greater market power to determine the use of invoice currency, invoicing in the currency of the importing country will be preferred. But if the importer has power to determine what currency to use, the converse is true. Moreover, the levels of trade and employment are proven to be invariant to invoicing strategies chosen.     

Office Property Returns in Shanghai,Guangzhou, and Shenzhen

Commercial property development in China has been a growth industry in recent years. This article examines the returns on office property in the three major cities of Shanghai, Guangzhou, and Shenzhen in the period 1991 to 1997. Analyses based on the Security Market Line (SML) show that property investments in the office sector in Shanghai and Guangzhou have excess returns and that Shanghai office property tends to dominate the optimal portfolios due to its superior risk-adjusted returns. While equal returns in Shanghai, Guangzhou, and Shenzhen cannot be rejected, the Shanghai office property is subject to the least systematic risk, compared with all other cities. Hong Kong office property is included only in the less risky optimal portfolios. In addition, our results indicate that there is little correlation between the office property returns in Hong Kong and the office property in Guangzhou and Shenzhen. Guangzhou and Shenzhen office markets, which are geographically relatively close to Hong Kong, tend to be more volatile than the Shanghai office market. However, owing to Shenzhens proximity to Hong Kong, there is significant correlation between the returns of the office property in Shenzhen and the office property in Hong Kong.