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  • Search: subject:"function gradient descent"
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Year of publication
Subject
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ARCH model 1 ARCH-Modell 1 Algorithm 1 Algorithmus 1 B-splines 1 Chebyshev polynomials 1 Empirical pricing kernel 1 Estimation 1 Estimation theory 1 Forecasting model 1 Heteroscedasticity 1 Heteroskedastizität 1 Mathematical programming 1 Mathematische Optimierung 1 Prognoseverfahren 1 Schätztheorie 1 Schätzung 1 Time series analysis 1 Zeitreihenanalyse 1 function gradient descent 1 function gradient descent algorithm 1 loss function 1 one-day-ahead forecast 1 option pricing 1
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Online availability
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Free 1
Type of publication
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Book / Working Paper 2
Type of publication (narrower categories)
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Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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English 1 Undetermined 1
Author
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Audrino, Francesco 1 Keith, Jonathan 1 Meier, Pirmin 1 Pourkhanali, Armin 1 Zhang, Xibin 1
Institution
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School of Economics and Political Science, Universität St. Gallen 1
Published in...
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Economics Working Paper Series / School of Economics and Political Science, Universität St. Gallen 1 Working paper / Department of Econometrics and Business Statistics, Monash University 1
Source
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ECONIS (ZBW) 1 RePEc 1
Showing 1 - 2 of 2
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Conditional heteroscedasticity models with time-varying parameters : estimation and asymptotics
Pourkhanali, Armin; Keith, Jonathan; Zhang, Xibin - 2020
Persistent link: https://www.econbiz.de/10012697180
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Empirical pricing kernel estimation using a functional gradient descent algorithm based on splines
Audrino, Francesco; Meier, Pirmin - School of Economics and Political Science, Universität … - 2012
We propose a new methodology to estimate the empirical pricing kernel implied from option data. In contrast to most of the studies in the literature that use an indirect approach, i.e. first estimating the physical and risk-neutral densities and obtaining the pricing kernel in a second step, we...
Persistent link: https://www.econbiz.de/10010546947
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