The aim of this paper is the price calibration of basket default swap from Japanese market data. The value of this instruments depend on the number of factors including credit rating of the obligors in the basket, recovery rates, intensity of default, basket size and the correlation of obligors...

This chapter proposes an up-to-date review of estimation strategies available for the Bayesian inference of GARCH-type models. The emphasis is put on a novel efficient procedure named AdMitIS. The methodology automatically constructs a mixture of Student-t distributions as an approximation to...

This paper deals with the impact of structure of dependency and the choice of procedures for rare-event simulation on the pricing of multi-name credit derivatives such as nth to default swap and Collateralized Debt Obligations (CDO). The correlation between names defaulting has an effect on the...

We propose simulation based estimation for discrete sequential move games of perfect information which relies on the simulated moments and importance sampling. We use importance sampling techniques not only to reduce computational burden and simulation error, but also to overcome non-smoothness...

This paper studies the problem of identifying and estimating the normal-form payoff parameters of a simultaneous, discrete game of complete information where the equilibrium concept employed is correlated equilibrium rather than Nash equilibrium. We show that once we extend the equilibrium...

In this paper I introduce a latent variable augmented version of the conditional autoregressive range (CARR) model. The new model, called stochastic conditional- range (SCR) can be estimated by Kalman filter or by efficient importance sampling depending on the hypotheses on the distributional...

In this paper we introduce a parameter driven model for the dynamics of range, the stochastic conditional range (SCR). We propose to estimate its parameters by Kalman filter, importance sampling and simulated maximum likelihood depending on the hypotheses on the distributional form of the...

We consider an adaptive importance sampling approach to estimating the marginal likelihood, a quantity that is fundamental in Bayesian model comparison and Bayesian model averaging. This approach is motivated by the difficulty of obtaining an accurate estimate through existing algorithms that...

The literature distinguishes finite sample studies of seasonal stationarity quite less intensely than it shows for seasonal unit root tests. Therefore, the use of both types of tests for better exploring time series dynamics is seldom noticed in the relative studies on such a topic. Recently,...

The hedge fund represents a unique investment opportunity for the institutional and private investors in the diffusion-type financial systems. The main objective of this condensed article is to research the hedge fund’s optimal investment portfolio strategies selection in the global capital...