Value of Multinationality: Internalization, Managerial Self-interest, and Managerial Compensation

In this paper, we examine the impact of managerial self-interest on the value of multinationality. Since agency theory also suggests that a divergence between the interests of managers and shareholders can be aligned by effective managerial incentive, we also examine the effect of managerial compensation on the value of multinationality. Our results show that for high- Q (Tobin's Q > 1 ) firms, investors do not associate the spending of free cash flow on multinationality with the problem of overinvestments. For high- Q firms, it is also found that the value of multinationality can be enhanced by effective managerial incentives. For low- Q firms (Tobin's Q < 1 ), it is found that the concern of managerial self-interest overwhelms the benefits of internalization, making multinationality a value-decreasing event. For low- Q firms, managerial compensation is also ineffective in promoting value-enhancing foreign direct investments.     

The Effects of Attributes on the Repeat Sales Pattern of Residential Property in Hong Kong

There has been copious research work on the development of house price models and the construction of house price indices. However, results in some studies revealed that the accuracy of such indices could be subject to selection bias when using only information from a sample of sold properties to estimate value movements for the entire housing stock. In particular, estimated house price appreciation is usually systematically higher among properties that change hands more frequently. It therefore suggests that the determination of important factors affecting the transaction frequency or intensity of a housing unit should be a more fundamental research question. This paper examines the possible factors that determine the popularity of residential unit by means of a repeated sales pattern. The Poisson regression model and event history analysis techniques are employed to assess the effect of attributes on transaction frequency and intensity. The event history analyses technique can take account of transaction-specific as well as time-dependent covariates, and therefore is recommended for analyzing repeated sales data in a real estate market. All transaction records during the period 1993–2000 from the Land Registry of one of the most popular residential estates in Hong Kong were used to illustrate the method. Unlike a response to favorable transaction price, good quality units do not necessarily inherently display a high transaction frequency. Rather, units of average quality are more likely to be transactionally active.     

MUTUAL FUND PERFORMANCE EVALUATION – APPLICATION OF SYSTEM BCC MODEL

For the first time, this research adopts the system BCC model in data envelopment analysis in order to evaluate mutual fund performance and compares the results between the BCC model and the system BCC model. This study is based on the sample of stock funds and balanced funds in Taiwan, with the empirical results summarised as follows. (i) Under the system BCC model, the average score of balanced funds is greater than the average score of stock funds. (ii) There is a significant difference in efficiency scores between the BCC model and the system BCC model, and it is proper to adopt the system BCC model. (iii) The number of major reference sets that have been referenced under the BCC model is larger than under the system BCC model. (iv) If we neglect the distinctions between stock funds and balanced funds, there will be errors on performance assessment. Ultimately, the results reveal that there is a significant difference between the two models. Provided no consideration is made for the funds belonging to two different systems, errors in performance evaluation are inevitable. This research provides investors with both a more accurate and comprehensive evaluation method.     

Foreign direct investment and business cycle co-movements: The panel data evidence

The previous literature has largely overlooked the possible channels through which foreign direct investment (FDI) might influence business cycle synchronization. In this study we analyze the linkages that exist among FDI, trade and industrial dissimilarity in relation to business cycle co-movements using a panel data set taken from 77 pairs of developed countries. The error component three-stage least squares (EC3SLS) estimates from a simultaneous equations model with panel data are shown to be superior to the estimates obtained from single equation models or simultaneous equations models with cross-sectional data. Our results indicate that FDI serves as a channel of international business cycle transmission that is equally important as the channels of trade and monetary policy. On the contrary, industrial dissimilarity is identified as having an indirect impact on the business cycle correlation through trade and FDI. Furthermore, our findings suggest that in our sample FDI is of the horizontal type and tends to substitute for trade.     

An agile approach for supply chain modeling

This paper proposes the generic label correcting (GLC) algorithm incorporated with the decision rules to solve supply chain modeling problems. The rough set theory is applied to reduce the complexity of data space and to induct decision rules. This proposed approach is agile because by combining various operators and comparators, different types of paths in the reduced networks can be solved with one algorithm. Furthermore, the four cases of the supply chain modeling are illustrated.     

Does rapid economic growth enhance democratization? Time-series evidence from high performing Asian economies

We examine the long-run relationship between economic growth and democratization for the high performing Asian economies using a time-series technique called the autoregressive distributive lag bounds test. For all eight of such economies, we do not find a statistically significant long-run relationship running from growth to democratization. Instead, we find a statistically significant long-run relationship running from democratization to growth, which can be either positive or negative. Contrary to the conventional wisdom, our results suggest that rapid economic growth in the high performing Asian economies appears to have little effect on democratization in the long run.     

Value at risk and conditional extreme value theory via markov regime switching models

This study develops a new conditional extreme value theory‐based (EVT) model that incorporates the Markov regime switching process to forecast extreme risks in the stock markets. The study combines the Markov switching ARCH (SWARCH) model (which uses different sets of parameters for various states to cope with the structural changes for measuring the time‐varying volatility of the return distribution) with the EVT to model the tail distribution of the SWARCH processed residuals. The model is compared with unconditional EVT and conditional EVT‐GARCH models to estimate the extreme losses in three leading stock indices: S&P 500 Index, Hang Seng Index and Hang Seng China Enterprise Index. The study found that the EVT‐SWARCH model outperformed both the GARCH and SWARCH models in capturing the non‐normality and in providing accurate value‐at‐risk forecasts in the in‐sample and out‐sample tests. The EVTSWARCH model, which exhibits the features of measuring the volatility of a heteroscedastic financial return series and coping with the non‐normality owing to structural changes, can be an alternative measure of the tail risk. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:155–181, 2008     

Exploring globalization and marketing performance at the 2012 Global Marketing Conference at Seoul

This special issue of the Journal of Business Research features sixteen articles selected from papers presented during the third Global Marketing Conference held in Seoul, July 19–22, 2012, hosted by Korean Scholars of Marketing Science, European Marketing Academy, Japan Society of Marketing and Distribution, International Textile and Apparel Association, and Australian and New Zealand Marketing Academy. The articles offer readers an interesting mix of topics and methods in complex and global marketing environments. They offer marketing practitioners new ideas and approaches for dealing effectively with the increasingly challenging marketing world and provide marketing researchers insights that may inspire future research.     

Optimal reinsurance under general law-invariant risk measures

In recent years, general risk measures play an important role in risk management in both finance and insurance industry. As a consequence, there is an increasing number of research on optimal reinsurance decision problems using risk measures beyond the classical expected utility framework. In this paper, we first show that the stop-loss reinsurance is an optimal contract under law-invariant convex risk measures via a new simple geometric argument. A similar approach is then used to tackle the same optimal reinsurance problem under Value at Risk and Conditional Tail Expectation; it is interesting to note that, instead of stop-loss reinsurances, insurance layers serve as the optimal solution. These two results highlight that law-invariant convex risk measure is better and more robust, in the sense that the corresponding optimal reinsurance still provides the protection coverage against extreme loss irrespective to the potential increment of its probability of occurrence, to expected larger claim than Value at Risk and Conditional Tail Expectation which are more commonly used. Several illustrative examples will be provided.     

Path‐dependent currency options with mean reversion

This paper develops a path‐dependent currency option pricing framework in which the exchange rate follows a mean‐reverting lognormal process. Analytical solutions are derived for barrier options with a constant barrier, lookback options, and turbo warrants. As the analytical solutions are obtained using a Laplace transform, this study numerically shows that the solution implemented with a numerical Laplace inversion is efficient and accurate. The pricing behavior of path‐dependent options with mean reversion is contrasted with the Black‐Scholes model. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:275–293, 2008