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Parameter Estimation in Stochastic Volatility Models
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This book develops alternative methods to estimate the unknown parameters in stochastic volatility models, offering a new approach to test model accuracy. While
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This treatise delves into the latest advancements in stochastic volatility models, highlighting the utilization of Markov chain Monte Carlo simulations for esti
Parameter Estimation in Stochastic Volatility Models Via Approximate Bayesian Computing
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In this thesis, we propose a generalized Heston model as a tool to estimate volatility. We have used Approximate Bayesian Computing to estimate the parameters o
Parameter estimation for a stochastic volatility model with coupled additive and multiplicative noise
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