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The main purpose of this handbook is to illustrate the mathematically fundamental implementation of various volatility … understanding of the recent advances in volatility modeling related to real-world situations. Every effort is made to present a … balanced treatment between theory and practice, as well as to showcase how accuracy and efficiency in implementing various …
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A complete guide to the theory and practice of volatility models in financial engineering Volatility has become a hot … econometrics. Providing an overview of the most recent advances, Handbook of Volatility Models and Their Applications explores key … concepts and topics essential for modeling the volatility of financial time series, both univariate and multivariate …
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average and spot measures of the magnitude and direction of volatility spillovers. Our methodology is based on forecast error … variance decompositions of VAR and VARMA systems of parametric and non-parametric volatility measure... …
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Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications. One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data,...
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