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.     

CONVERTIBLE BOND PRICING MODELS

Convertible bonds are an important segment of the corporate bond market, with worldwide outstandings approaching US$235 billion. Simple pricing models value a convertible bond as being equivalent to a straight bond with an embedded option that enables the bond holder to convert to a specific amount of common stock. The straight bond is subject to both interest rate and credit risk, whereas the option to convert is dependent on the underlying stock price, which exposes the convertible bond holder to equity risk. The complexity of these features means that convertible bonds tend to be treated casually in major derivatives and corporate finance textbooks. This paper presents a survey of the theoretical and empirical aspects of convertible bond pricing. The limitations of these studies are highlighted to identify those areas of research that may improve the valuation process and facilitate the application of these securities for corporate financing.     

Does Size Matter? Evaluating Corporate Environmental Disclosure in the Australian Mining and Metal Industry: A Combined Approach of Quantity and Quality Measurement

There are an increasing number of companies in the mining and metals sector disclosing environmental sustainability information in their annual reports, sustainability reports and corporate internet web pages. However, there is ongoing debate about the relationship between the quantity and the quality of environmental disclosure. That is, does an increase in number equate to an increase in quality? This study investigates the relationship between the quantity and the quality of environmental disclosure reports. Using content analysis, we examine the environmental disclosure of 55 Australian mining and metal companies which are listed among the Australian Securities Exchange's (ASX) Top 100 mining and metal sector companies. We find that the size of firms influences both the quantity and the quality of corporate environmental disclosure. That is, we find that market capitalization is positively and significantly correlated to the quantity (number of words) and the quality of disclosure. We also confirm that there is a very highly significant, positive correlation between quantity (number of words) and quality of environmental disclosure. In order to investigate any differences between the top performing group and the bottom performing group in terms of environmental disclosure quality, further analysis also confirms that there is a positive relationship between the quantity and the quality of environmental disclosure. Copyright © 2015 John Wiley & Sons, Ltd and ERP Environment     

Changing Perceptions of Maturity Mismatch in the U.S. Banking System: Evidence from Equity Markets

We use the sensitivity of bank holding company equity returns to market interest rates as an indicator of perceived maturity mismatch. Based on data from 1990 to 2009, there is only weak evidence that market participants perceived banks to be effectively short‐funded. However, looking at 1990–1996 and 1997–2009 subsamples separately, our results suggest that U.S. commercial banks were perceived as short‐funded during the earlier time period but not the later. During this time of changing perceptions of maturity mismatch, banks were increasing their holdings of real estate loans as a share of total assets. We present evidence that, subsequent to 1996, market participants perceived real estate loans as having become effectively shorter‐term.     

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.     

Proving regularity of the minimal probability of ruin via a game of stopping and control

We reveal an interesting convex duality relationship between two problems: (a) minimizing the probability of lifetime ruin when the rate of consumption is stochastic and the individual can invest in a Black–Scholes financial market; (b) a controller-and-stopper problem, in which the controller controls the drift and volatility of a process in order to maximize a running reward based on that process, and the stopper chooses the time to stop the running reward and pays the controller a final amount at that time. Our primary goal is to show that the minimal probability of ruin, whose stochastic representation does not have a classical form as does the utility maximization problem (i.e., the objective’s dependence on the initial values of the state variables is implicit), is the unique classical solution of its Hamilton–Jacobi–Bellman (HJB) equation, which is a non-linear boundary-value problem. We establish our goal by exploiting the convex duality relationship between (a) and (b).