In this paper, an empirical implementation of the HJM model is attempted with an application to Japanese interest futures and the self-consistency is tested. Our empirical results show tha the model we specify can be used to price contigent claims on Bond futures traded at the Tokyo...

Abstract: Data depth measures the centrality of a point with respect to a given distribution or data cloud. It provides a natural center-outward ordering of multivariate data points and yields a systematic nonparametric multivariate analysis scheme. In particular, the halfspace depth is shown to...

This paper describes a GAUSS program of a Markov-chain sampling algorithm for GARCH models proposed by Nakatsuma (1998). This algorithm allows us to generate Monte Carlo samples of parameters in a GARCH model from their joint posterior distribution. The samples obtained by this algorithm are...

In this paper, we apply a Markov mixture model to capturing complex dynamics in the cross section distribution of per capita income across countries and examining the convergence hypothesis in economic growth. A Markov mixture model is estimated by a Bayesian procedure via the Gibbs sampler....

This paper describes a GAUSS program of a Markov-chain sampling algorithm for GARCH models proposed by Nakatsuma (1998). This algorithm allows us to generate Monte Carlo samples of parameters in a GARCH model from their joint posterior distribution. The samples obtained by this algorithm are...

Three Bayesian methods (Markov chain Monte Carlo, Laplace approximation and quadrature formula) are developed to estimate the parameters of the ARMA-GARCH model. The ARMA-GARCH model is applied to weekly foreign exchange rate data of five major currencies, and their stochastic volatilities are...

We compare small-sample properties of Bayes estimation and maximum likelihood estimation (MLE) of ARMA-GARCH models. Our Monte Carlo experiments indicate that in small sample, the Bayes estimator beats the MLE. We also develop a Bayes method of testing strict stationarity and ergodicity of the...

This papaer formulates a tenant management problem for a commercial retail real estate such as shopping center, provides an analytical framework for deriving the probability distribution of the sum of a discounted cash flow stochastically generated through the tenant management and finds an...