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  • Search: subject:"Stochastic volatility with jumps"
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Year of publication
Subject
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Forecast 2 Forecasting model 2 Probability theory 2 Prognose 2 Prognoseverfahren 2 Stochastic process 2 Stochastic volatility with jumps 2 Stochastischer Prozess 2 Theorie 2 Theory 2 Volatility 2 Volatilität 2 Wahrscheinlichkeitsrechnung 2 Auxiliary particle filters 1 Bayesian estimation 1 Capital income 1 Coherent predictions 1 Kapitaleinkommen 1 Leverage 1 Linear predictive pools 1 MCMC 1 Optimal predictions 1 Predictive distributions 1 Proper scoring rules 1 Return's predictability 1 Testing equal predictive ability 1 linear predictive pools 1 predictive distributions 1 proper scoring rules 1 stochastic volatility with jumps 1 testing equal predictive ability 1
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Online availability
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Undetermined 2 Free 1
Type of publication
All
Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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English 2 Undetermined 1
Author
All
Frazier, David T. 2 Loiza-Maya, Ruben 2 Maneesoonthorn, Worapree 2 Martin, Gael M. 2 Ramírez Hassan, Andrés 2 Bordignon, Silvano 1 Raggi, Davide 1
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Published in...
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Econometric Reviews 1 International journal of forecasting 1 Working paper / Department of Econometrics and Business Statistics, Monash University 1
Source
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ECONIS (ZBW) 2 RePEc 1
Showing 1 - 3 of 3
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Optimal probabilistic forecasts : when do they work?
Martin, Gael M.; Loiza-Maya, Ruben; Frazier, David T.; … - 2020
Persistent link: https://www.econbiz.de/10012610795
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Cover Image
Optimal probabilistic forecasts : when do they work?
Martin, Gael M.; Loiza-Maya, Ruben; Maneesoonthorn, Worapree - In: International journal of forecasting 38 (2022) 1, pp. 384-406
Persistent link: https://www.econbiz.de/10013347814
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Cover Image
Volatility, Jumps, and Predictability of Returns: A Sequential Analysis
Raggi, Davide; Bordignon, Silvano - In: Econometric Reviews 30 (2011) 6, pp. 669-695
In this article we propose a Monte Carlo algorithm for sequential parameter learning for a stochastic volatility model with leverage, nonconstant conditional mean and jumps. We are interested in estimating the time invariant parameters and the nonobservable dynamics involved in the model. Our...
Persistent link: https://www.econbiz.de/10009207147
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