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volatility/diffusion term is stochastic in the sense of being driven by a separate hidden Markov process. Within this framework … conditions for the existence of a finite dimensional Markovian realizations for the stochastic volatility models. We illustrate … the theory by analyzing a number of concrete examples. -- HJM models ; stochastic volatility ; factor models ; forward …
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This paper considers the large sample behavior of the maximum likelihood estimator of random effects models with serial correlation in the form of AR(1) for the idiosyncratic or time-specific error component. Consistent estimation and asymptotic normality as N and/or T grows large is established...
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