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Estimating Stochastic Volatility and Jumps Using High-Frequency Data and Bayesian Methods
Language: en
Pages: 25
Authors: Milan Fičura
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Type: BOOK - Published: 2015 - Publisher:

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We are comparing two approaches for stochastic volatility and jumps estimation in the EUR/USD time series - the non-parametric power-variation approach using hi
Stochastic Volatility Models with Jumps and High Frequency Data
Language: en
Pages: 163
Authors: Jonas Kau
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Type: BOOK - Published: 2009 - Publisher:

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Bayesian Modeling and Forecasting of 24-Hour High-Frequency Volatility
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Type: BOOK - Published: 2014 - Publisher:

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This paper estimates models of high frequency index futures returns using 'around the clock' 5-minute returns that incorporate the following key features: multi
Time Series Models
Language: en
Pages: 308
Authors: Andrew C. Harvey
Categories: Time-series analysis
Type: BOOK - Published: 1993 - Publisher: Financial Times/Prentice Hall

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A companion volume to The Econometric Analysis of Time series, this book focuses on the estimation, testing and specification of dynamic models which are not ba
Identifying Price Jumps from Daily Data with Bayesian Vs. Non-Parametric Methods
Language: en
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Authors: Milan Fičura
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Type: BOOK - Published: 2017 - Publisher:

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Non-parametric approach to financial time series jump estimation, using the L-Estimator, is compared with the parametric approach utilizing a Stochastic-Volatil