Determinants of Different Modes of FDI: Firm-Level Evidence from Japanese FDI into the US

There are four major modes through which firms undertake foreign direct investment (FDI) – merger and acquisition (M&A), joint venture (JV), new plant (NP) and others (O). The four modes of FDI are distinct from each other, and each has its own unique advantages and disadvantages. While a large and growing empirical literature examines the determinants of FDI, very few studies examine the determinants of different modes of FDI. The central objective of this paper is to empirically analyze the extent to which the determinants of FDI such as firm size influences the choice of one mode of FDI over another. Our analysis follows a stylized two-stage investment process. First, we look at the probability of whether a Japanese firm is willing to undertake FDI in the US. Second, for firms that are willing to undertake FDI, we analyze which mode of FDI - i.e. M&A, joint venture, new plant or other FDI – they will undertake. The second stage is the innovation of this paper and its contribution to the FDI literature.     

基于东北亚经济合作的战略伙伴关系

文章在分析了东北亚经济合作的必要性的基础上,探讨了作为主要经济合作手段 的东北亚各国产学研机构间的战略伙伴关系,并提出了发展东北亚经济共同体的具体模式。     

Credit Rating and Monetary Policy Transmission to Equity Markets: Evidence from the Emerging Market

This study empirically estimates credit channel of the monetary policy and corporate stock return using daily stock return data including the sample with non-financial firms listed in Korea stock exchange (KOSPI). Empirical results support that changes in the basis rate turn out to increase equity returns in case of the firms with higher credit rating compared to the previous year. The estimation results confirm the conjecture that monetary policy has a significant impact on stock market through the channel of changes in credit rating.     

Understanding the Remittance Gender Gap among Hispanics in the US: Gendered Norms and the Role of Expectations

Using the 2006 Latino National Survey (LNS), this study analyzes the existence of a gender gap in favor of men in the monetary remittance behavior of Hispanics residing in the United States. Findings indicate that cultural gender norms and expectations in the country of origin play a key role. The study shows that women migrants are less likely to remit than men and, when they do, they transfer smaller amounts. The remittance gender gap is not universal among subgroups, since it is only observable among Hispanics who came to the US to improve their economic situation, plan to return to their home country, and have low income and low schooling. An index on migrants’ perceptions of gender roles as a proxy for cultural gendered norms is constructed and shows that more traditional gender views are associated with a significant gender gap in favor of men in remittances.     

Value at risk forecasting for volatility index

Forecasts of values at risk (VaRs) are made for volatility indices such as the VIX for the US S&P 500 index, the VKOSPI for the KOSPI (Korea Stock Price Index) and the OVX (oil volatility index) for crude oil funds, which is the first in the literature. In the forecasts, dominant features of the volatility indices are addressed: long memory, conditional heteroscedasticity, asymmetry and fat-tails. An out-of-sample comparison of the VaR forecasts is made in terms of violation probabilities, showing better performance of the proposed method than several competing methods which consider the features differently from ours. The proposed method is composed of heterogeneous autoregressive model for the mean, GARCH model for the volatility and skew-t distribution for the error.     

How does the partner type in R&D alliances impact technological innovation performance? A study on the Korean biotechnology industry

The number of strategic alliances for R&D activities in the biotechnology industry is sharply increasing. Some studies show that each alliance partner type has different alliance motives, resources and capabilities, organizational structures and cultures, and degrees of competition with partners, which can lead to different performances of strategic alliances. In this regard, this study conducts an empirical analysis of the different impact of each type of alliance partner on technological innovation performance and finds the moderating effect of absorptive capacity and potential competition by categorizing strategic alliances for R&D activities in the biotechnology industry into three types: vertical-downstream alliances, vertical-upstream alliances, and horizontal alliances. This study analyzed 206 Korean biotechnology firms and their strategic alliances for a total of 292 R&D activities. The results of the analysis showed that vertical alliances have a positive impact on technological innovation performance, while horizontal alliances have an inverted U-shaped relationship with technological innovation performance caused by the effect of competition. Additionally, it was confirmed that the R&D intensity of biotechnology firms has a moderating effect of increasing the impact of vertical-upstream alliances on technological innovation performance.