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We use a newly-developed time-varying range-based volatility model to capture the dynamics of securitized real estate volatility. The novelty of the model is the use of a smooth transition copula function to capture the nonlinear comovements between major REIT markets in the presence of...
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heteroskedasticity (GARCH) for an event study, we examine the impact of the attacks on Japanese airline and high-speed railway industries …
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Recent research has suggested that returns volatility may contain both short-run and long-run components due to the existence of heterogeneous information flows or heterogeneous agents (Andersen and Bollerslev 1997a, 1997b; Müller et al., 1997). This paper investigates the existence of such...
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intermediate regimes is considered and modeled with the introduction of a smooth-transition mechanism in a GARCH specification. One … power. A smooth-transition GARCH specification is tested and estimated with stock returns and exchange-rate data. While a …
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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 used for Bayesian analysis of the GARCH model. As numerical examples …
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