LIQUIDITY AND ASSET PRICING UNDER THE THREE‐MOMENT CAPM PARADIGM

We examine whether the use of the three‐moment capital asset pricing model can account for liquidity risk. We also make a comparative analysis of a four‐factor model based on Fama–French and Pástor–Stambaugh factors versus a model based solely on stock characteristics. Our findings suggest that neither of the models captures the liquidity premium nor do stock characteristics serve as proxies for liquidity. We also find that sensitivities of stock return to fluctuations in market liquidity do not subsume the effect of characteristic liquidity. Furthermore, our empirical findings are robust to differences in market microstructure or trading protocols between NYSE/AMEX and NASDAQ.     

Capital structure around the world: The roles of firm- and country-specific determinants

We analyze the importance of firm-specific and country-specific factors in the leverage choice of firms from 42 countries around the world. Our analysis yields two new results. First, we find that firm-specific determinants of leverage differ across countries, while prior studies implicitly assume equal impact of these determinants. Second, although we concur with the conventional direct impact of country-specific factors on the capital structure of firms, we show that there is an indirect impact because country-specific factors also influence the roles of firm-specific determinants of leverage.     

Some Tests of APT Mispricing Using Mimicking Portfolios

Cross-sectional and time-series tests using mimicking portfolios are used to assess the exactness of the APT with(out) a residual market factor. The first factor seems to be sufficient to span the efficient set, whether the model is estimated using (un)conditional variance-covariance matrices that are (un)adjusted for nonsynchronous trading. Although the conditional standard deviations of the mimicking portfolios significantly explain the time-variability of security volatilities, the residuals of the mean equation still exhibit heteroskedasticity. Similar results are obtained for portfolios of CAPM-betaranked securities, and for randomly selected individual securities.     

Optimal Licensing Policy under Vertical Product Differentiation

This paper explores a vertical product differentiation model with a licensing arrangement between a multinational firm with superior technology and a domestic firm with obsolete technology. We find that a subsidy provided by the domestic country's government to the domestic firm to assist with the licensing arrangement is welfare enhancing for the domestic country. Furthermore, both the multinational firm and the domestic country are better off under royalty than under fixed fee licensing. These findings stand in contrast to earlier results in the literature.     

Investigation of factors affecting the diffusion of mobile telephone services: An empirical analysis for Vietnam

This paper analyzes the diffusion of mobile telecommunications services in Vietnam and examines how telecommunications regulation and potential substitute/complement services affect the growth of the number of mobile telephone subscribers. Using a logistic diffusion model, it is found that fixed telephone services are a complement while data services have a negative relation to mobile telephone services in Vietnam. As for regulation, the policy of introducing competition has been found to be the most effective in influencing the adoption of mobile services. Another important result is that the estimated potential market is roughly 76% of the total population. The findings suggest that suitable regulation that guarantees competition in the mobile telecommunications market in a developing country such as Vietnam is one of the most important factors for a positive diffusion process.     

Competition and risk in South East Asian commercial banking

This article investigates the effects of competition on bank risk taking behaviour in four South East Asian countries (Indonesia, Malaysia, Philippines and Vietnam). Our main finding is that competition does not increase bank risk-taking behaviour and the results appear robust to different model specifications, estimation approaches and variable construction. We also find that concentration is inversely related to bank risk whereas regulatory restrictions positively influence bank risk-taking.     

Knowledge embeddedness and the transfer mechanisms in multinational corporations

This paper reports a qualitative study conducted at four Japanese subsidiaries in China and Vietnam about their process of international knowledge transfer. Building on the literatures concerning the diverse types and characteristics of knowledge in multinational corporations (MNCs), we explore the broad mechanisms adopted and locally generated by the host country subsidiaries for transferring the foreign knowledge and putting the locally embedded knowledge into practical use at the local settings. The findings indicated (1) the limitations of applying a standardized and universal set of knowledge transfer mechanisms without considering local idiosyncrasies and (2) the contributions of local agents and institutions throughout the process of local knowledge adaptation and development.     

Modified efficient importance sampling for partially non‐Gaussian state space models

The construction of an importance density for partially non‐Gaussian state space models is crucial when simulation methods are used for likelihood evaluation, signal extraction, and forecasting. The method of efficient importance sampling is successful in this respect, but we show that it can be implemented in a computationally more efficient manner using standard Kalman filter and smoothing methods. Efficient importance sampling is generally applicable for a wide range of models, but it is typically a custom‐built procedure. For the class of partially non‐Gaussian state space models, we present a general method for efficient importance sampling. Our novel method makes the efficient importance sampling methodology more accessible because it does not require the computation of a (possibly) complicated density kernel that needs to be tracked for each time period. The new method is illustrated for a stochastic volatility model with a Student's t distribution.