Does local political support influence financial markets? A study on the impact of job approval ratings of political representatives on local stock returns

Using data on job approval ratings of governors, U.S. senators, and the president, we find that firms located in states with high approval ratings outperform firms located in states with low approval ratings by .64% per month. Furthermore, this relationship is stronger when investors are actively involved in politics, when local politicians are closer to the center of political power, for small firms that have a larger proportion of local investors, and for financially strong areas where investors are ready to execute investments in local stocks. Overall, our study shows that investors’ political sentiment is important in determining stock returns.     

South Korea’s outward direct investment and its dyadic determinants: Foreign aid,bilateral treaty and economic diplomacy

This study investigates the factors that affect South Korean outward foreign direct investment (FDI) in developing countries. Most previous studies focus on monadic factors and do not consider how and to what extent bilateral relationships between South Korea and the host countries affect the investment decisions of Korean firms. The current study finds that interstate factors such as South Korea's international investment treaties with and official development assistance to host countries have positive effects on FDI to these countries, while presidential visits have strong and statistically significant effects on FDI only in countries located in non-Asian regions, especially the African continent. The findings suggest that the effects of bilateral relations on South Korea's FDI vary depending on the geographic location of the host country.     

AGAINST LEVIATHAN: A REVIEW OF CLASSICAL LIBERALISM IN THE 21ST CENTURY: ESSAYS IN HONOUR OF NORMAN P. BARRY1

Classical Liberalism in the 21st Century is a collection of essays from colleagues and friends of the late Norman Barry, Professor of Social and Political Theory at the University of Buckingham. Most share Barry's Hayekian perspective. The essays cover themes such as: international competition in trade and between jurisdictions; the corporate social responsibility fad; secular economic errors; policies relating to alleged global warming; the state's impotence at removing externalities; the moral functions of competition; and, above all, Barry's rigour and eloquence in the economic and political case for freedom.     

Industry Shock Expectations,Interindustry Linkages,and Merger Waves: Evidence from the Hospital Industry

It is well known that mergers often occur in waves, and this paper develops a new mechanism for merger waves: expectations over industry shocks. We develop a simple test of this explanation and use it to explore the role of expectations in the context of the 1990s hospital merger wave. Managed care such as Health Maintenance Organizations (HMOs) started to become popular in the late 1980s and ultimately became an important player in the health insurance market. Our empirical analysis shows that the expected increase in the popularity of HMOs was partly responsible for the hospital merger wave of the 1990s: hospitals feared that the “innovation” of managed care in the downstream insurance market would penetrate the upstream hospital market and responded to this belief by merging. Our results show the importance of incorporating expectations and interindustry linkages into the understanding of merger waves.     

Climate Change and Asset Prices: Are Corporate Carbon Disclosure and Performance Priced Appropriately?

This paper empirically assesses the relevance of information on corporate climate change disclosure and performance to asset prices, and discusses whether this information is priced appropriately. Findings indicate that corporate disclosures of quantitative greenhouse gas (GHG) emissions and, to a lesser extent, carbon performance are value relevant. We use hand‐collected information on quantitative GHG emissions for 433 European companies and build portfolios based on GHG disclosure and performance. We regress portfolios on a standard four factor model extended for industry effects over the years 2005 to 2009. Results show that investors achieved abnormal risk‐adjusted returns of up to 13.05% annually by exploiting inefficiently priced positive effects of (complete) GHG emissions disclosure and good corporate climate change performance in terms of GHG efficiency. Results imply that, firstly, information costs involved in carbon disclosure and management do not present a burden on corporate financial resources. Secondly, investors should not neglect carbon disclosure and performance when making investment decisions. Thirdly, during the period analysed, financial markets were inefficient in pricing publicly available information on carbon disclosure and performance. Mandatory and standardised information on carbon performance would consequently not only increase market efficiency but result in better allocation of capital within the real economy.     

Short-term forecasting of Japanese tourist inflow to South Korea using Google trends data

We utilize the Internet search data from Google Trends to provide short-term forecasts for the inflow of Japanese tourists to South Korea. We construct the Google variable in a systematic way by combining keywords to minimize mean squared or mean absolute forecasting errors. We augment the Google variable to the standard time-series forecasting models and compare their forecasting accuracies. We find that Google-augmented models perform much better than the standard time-series models in terms of short-term forecasting accuracy. In particular, Google models show better out-of-sample forecasting performance than in-sample forecasting.     

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.