Sequential point estimation of normal mean under LINEX loss function

A sequential point estimation of the mean of a normal distribution is considered under LINEX loss function. The regret of sequential procedures are obtained. Furthermore, it is shown that a sequential procedure with the sample mean as an estimate is asymptotically inadmissible. An accerelated stopping time is also considered. Received: December 1999     

Estimating the geographic diffusion of the videocassette recorder market

The majority of studies concerning diffusion or product growth of consumer durables have treated the U.S. market as a whole and have applied the diffusion model on the assumption that the market exhibits a homogeneous response in its diffusion process. If the market is heterogeneous, however, an aggregate model entails a misspecification problem which could adversely affect the applicability and efficiency of the model. A modeling framework is developed for analyzing the diffusion process in a possibly heterogeneous market. Empirical analysis using data on the videocassette recorder (VCR) market reveals that the modeling framework captures to a fair extent heterogeneous diffusion processes across different regions in the U.S. market. Managerial implications are derived and discussed.     

Asymptotic second-order efficiency of three-stage procedure with a warranted confidence level

This paper considers a three-stage procedure which was proposed by Holm (1995) to yield a fixed-width confidence interval of the normal mean with a precise confidence level. The procedure is shown to be asymptotically second-order efficient. The procedure is also applied to such problems as bounded risk and hypothesis testing     

Uniformly most accurate equivariant prediction limit

Summary Prediction limits are widely used for reliability problems and other related problems. The determination of prediction limits has been extensively investigated, but few optimal properties of these limits have been explored. This paper introduces a concept of uniform accuracy in order to compare equivariant prediction limits and show that the prediction limits used for the normal distribution and the exponential distribution are uniformly most accurate equivariant.     

Bivariate Nonparametric Density Estimation of Stock Prices and Volume

This paper comprehensively investigates the joint movement of stock prices and trading volume of New York and Tokyo stock markets by undertaking nonparametric density estimation. Bivariate nonparametric density estimation has been reported as a powerful tool for revealing complicated relations between two variables. In application to finance, it is important to use a method robust for heavy-tailed densities, since the distributions of asset price changes are known to have heavy tails, and information about sudden and large price changes is contained in the tails. The empirical regularities found in this paper are mostly consistent with previous literature, but partially disagrees with the work of Gallant et al. (1992).     

Measuring Credit Risk of Individual Corporate Bonds in US Energy Sector

In this paper, using the measures of the credit risk price spread (CRiPS) and the standardized credit risk price spread (S-CRiPS) proposed in Kariya’s (A CB (corporate bond) pricing model for deriving default probabilities and recovery rates. Eaton, IMS Collection Series: Festschrift for Professor Morris L., 2013) corporate bond model, we make a comprehensive empirical credit risk analysis on individual corporate bonds (CBs) in the US energy sector, where cross-sectional CB and government bond price data is used with bond attributes. Applying the principal component analysis method to the S-CRiPSs, we also categorize individual CBs into three different groups and study on their characteristics of S-CRiPS fluctuations of each group in association with bond attributes. Secondly, using the market credit rating scheme proposed by Kariya et al. (2014), we make credit-homogeneous groups of CBs and show that our rating scheme is empirically very timely and useful. Thirdly, we derive term structures of default probabilities for each homogeneous group, which reflect the investors’ views and perspectives on the future default probabilities or likelihoods implicitly implied by the CB prices for each credit-homogeneous group. Throughout this paper it is observed that our credit risk models and the associated measures for individual CBs work effectively and can timely provide the market credit information evaluated by investors.     

Factors determining residents’ preparedness for floods in modern megalopolises: the case of the Tokai flood disaster in Japan

This study examines how flood risk perception and home ownership affect residents’ preparedness for floods, focusing specifically on the case of the Tokai flood disaster in Nagoya City, one of Japan’s biggest metropolises, in 2000. The greatest rainfall ever recorded in Nagoya City (566.5 mm) occurred on 11–12 September 2000; as a result, a local river burst its banks and flooded the city. A survey was conducted of residents of the affected area in Nagoya City and its adjacent region. The respondents were asked to rate the extent of their experience with, anticipation of, and preparedness for floods before and after the Tokai disaster in terms of taking special measures against floods. The results showed that the degree of preparedness for floods was determined by the level of fear of floods and the amount of damage sustained during the Tokai flood, especially for homeowners. However, the residents’ preparedness did not depend on their anticipation of floods. These findings show that preparedness for floods depends on ownership of a home, fear of flooding, and the amount of damage from previous floods rather than on previous experience with and anticipation of floods.