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  • Search: subject:"Volatility Modeling"
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Year of publication
Subject
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Volatilität 51 Volatility 49 Volatility modeling 44 ARCH model 33 ARCH-Modell 33 volatility modeling 26 Forecasting model 21 Prognoseverfahren 21 Theorie 17 Zeitreihenanalyse 17 Schätzung 16 Theory 16 Time series analysis 16 Estimation 15 Kapitaleinkommen 14 Capital income 13 Estimation theory 11 GARCH 11 Schätztheorie 11 Stochastic process 11 Stochastischer Prozess 11 Börsenkurs 9 Share price 9 Finanzmarkt 8 Forecast evaluation 8 Financial market 7 Option pricing theory 7 Optionspreistheorie 7 Wechselkurs 7 Exchange rate 6 Long memory 6 Risikomaß 6 Risk measure 6 Virtual currency 6 Virtuelle Währung 6 Aktienindex 5 Bank holding companies 5 Dynamic correlations 5 Portfolio selection 5 Portfolio-Management 5
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Online availability
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Free 49 Undetermined 38 CC license 3
Type of publication
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Article 60 Book / Working Paper 37 Other 1
Type of publication (narrower categories)
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Article in journal 38 Aufsatz in Zeitschrift 38 Working Paper 14 Graue Literatur 7 Non-commercial literature 7 Arbeitspapier 6 Article 4 Aufsatzsammlung 1 Hochschulschrift 1 Konferenzschrift 1 research-article 1
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Language
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English 69 Undetermined 28 Italian 1
Author
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Kumar, Dilip 9 Opschoor, Anne 8 Maheswaran, S. 7 Dijk, Dick van 5 Fatum, Rasmus 5 Vacek, Pavel 5 Wel, Michel van der 5 Kohn, Robert 4 Demiralay, Sercan 3 Huber, Florian 3 Rabitsch, Katrin 3 Shaik, Muneer 3 Ulusoy, Veysel 3 van Dijk, Dick 3 van der Wel, Michel 3 Anderegg, Benjamin 2 Baumöhl, Eduard 2 Chauveau, Thierry 2 Chevallier, Julien 2 Dominguez, Kathryn M. E. 2 Dominguez, Kathryn M.E. 2 Erdogan, Oral 2 Gencer, Gaye Hatice 2 Gunay, Samet 2 Hakmaoui, Abdelati 2 Hautsch, Nikolaus 2 Härdle, Wolfgang Karl 2 Jebari, Ouael El 2 Karahasan, B. Can 2 Karanasos, Menelaos 2 Khaki, Audil Rashid 2 Li, Feng 2 Minh-Ngoc Tran 2 Musoglu, Zafer 2 Pigorsch, Uta 2 Sengoz, M. Hakan 2 Shapovalova, Kateryna 2 Sornette, Didier 2 Subbotin, Alexander 2 Sánchez-Granero, Miguel Ángel 2
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Institution
All
Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 4 Tinbergen Instituut 2 Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 1 Centre d'Économie de la Sorbonne, Université Paris 1 (Panthéon-Sorbonne) 1 Department of Economics, Faculty of Economic and Management Sciences 1 Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", Università degli Studi di Firenze 1 EconWPA 1 Economic Policy Research Unit (EPRU), Økonomisk Institut 1 HAL 1 Research Seminar in International Economics, University of Michigan 1 Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 1 Sveriges Riksbank 1 Université Paris-Dauphine (Paris IX) 1 Westfälische Wilhelms-Universität Münster 1 World Scientific Publishing Co. Pte. Ltd. 1
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Published in...
All
International review of economics & finance : IREF 4 MPRA Paper 4 Discussion paper / Tinbergen Institute 2 EPRU Working Paper Series 2 Economic modelling 2 International Review of Economics & Finance 2 Journal of forecasting 2 Journal of quantitative economics 2 Quantitative finance 2 Tinbergen Institute Discussion Paper 2 Tinbergen Institute Discussion Papers 2 AStA Advances in Statistical Analysis 1 Applied Econometrics 1 Applied economics letters 1 Asia-Pacific Financial Markets 1 Atlantic economic journal : AEJ 1 CORE Discussion Papers 1 Cardiff Economics Working Papers 1 Cardiff economics working papers 1 Cogent Economics & Finance 1 Cogent economics & finance 1 Computational Economics 1 Computational Statistics & Data Analysis 1 Computational economics 1 Department of Economics working paper 1 Documents de travail du Centre d'Economie de la Sorbonne 1 Dynamic Econometric Models 1 Dynamic modeling and econometrics in economics and finance 1 Econometrics 1 Econometrics Working Papers Archive 1 Economics Papers from University Paris Dauphine 1 Economies : open access journal 1 Energy Economics 1 Future business journal 1 Handbook of economic forecasting : Band 1 1 IRTG 1792 Discussion Paper 1 International Journal of Financial Research 1 International Review of Financial Analysis 1 International journal of financial research 1 International review of financial analysis 1
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Source
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ECONIS (ZBW) 49 RePEc 34 EconStor 13 BASE 1 Other ZBW resources 1
Showing 31 - 40 of 98
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Best fitting fat tail distribution for the volatilities of energy futures : gev, gat and stable distributions in GARCH and APARCH models
Gunay, Samet; Khaki, Audil Rashid - In: Journal of risk and financial management : JRFM 11 (2018) 2, pp. 1-19
Precise modeling and forecasting of the volatility of energy futures is vital to structuring trading strategies in spot markets for risk managers. Capturing conditional distribution, fat tails and price spikes properly is crucial to the correct measurement of risk. This paper is an attempt to...
Persistent link: https://www.econbiz.de/10011857131
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GARCH Family Models vs EWMA: Which is the best model to forecast volatility of the Moroccan stock exchange market?
Jebari, Ouael El; Hakmaoui, Abdelati - In: Revista de Métodos Cuantitativos para la Economía y … 26 (2018), pp. 237-249
Nowadays, modeling and forecasting the volatility of stock markets have become central to the practice of risk management; they have become one of the major topics in financial econometrics and they are principally and continuously used in the pricing of financial assets and the Value at Risk,...
Persistent link: https://www.econbiz.de/10014494424
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Cover Image
Best fitting fat tail distribution for the volatilities of energy futures: Gev, gat and stable distributions in GARCH and APARCH models
Gunay, Samet; Khaki, Audil Rashid - In: Journal of Risk and Financial Management 11 (2018) 2, pp. 1-19
Precise modeling and forecasting of the volatility of energy futures is vital to structuring trading strategies in spot markets for risk managers. Capturing conditional distribution, fat tails and price spikes properly is crucial to the correct measurement of risk. This paper is an attempt to...
Persistent link: https://www.econbiz.de/10012611018
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Bayesian nonparametrics for financial volatility modeling
Zaharieva, Martina Danielova - 2017
Persistent link: https://www.econbiz.de/10012200829
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Volatility analysis of Bitcoin price time series
Pichl, Lukáš; Kaizoji, Taisei - In: Quantitative finance and economics 1 (2017) 4, pp. 474-485
Persistent link: https://www.econbiz.de/10012137891
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A forecast comparison of volatility models using realized volatility : evidence from the Bitcoin market
Hattori, Takahiro - In: Applied economics letters 27 (2020) 7, pp. 591-595
Persistent link: https://www.econbiz.de/10012205740
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Heterogeneous market hypothesis approach for modeling unbiased extreme value volatility estimator in presence of leverage effect : an individual stock level study with economic significance analysis
Zargar, Faisal Nazir; Kumar, Dilip - In: The quarterly review of economics and finance : journal … 77 (2020), pp. 271-285
Persistent link: https://www.econbiz.de/10012431113
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Modeling unbiased extreme value volatility estimator in presence of heterogeneity and jumps : A study with economic significance analysis
Zargar, Faisal Nazir; Kumar, Dilip - In: International review of economics & finance : IREF 67 (2020), pp. 25-41
Persistent link: https://www.econbiz.de/10012440181
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Arbitrage-free interpolation of call option prices
Bender, Christian; Thiel, Matthias - In: Statistics & Risk Modeling 37 (2020) 1-2, pp. 55-78
Abstract In this paper, we introduce a new interpolation method for call option prices and implied volatilities with respect to the strike, which first generates, for fixed maturity, an implied volatility curve that is smooth and free of static arbitrage. Our interpolation method is based on a...
Persistent link: https://www.econbiz.de/10014621270
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Improving density forecasts and value-at-risk estimates by combining densities
Opschoor, Anne; Dijk, Dick van; Wel, Michel van der - 2014 - This version: July 15, 2014
We investigate the added value of combining density forecasts for asset return prediction in a specific region of support. We develop a new technique that takes into account model uncertainty by assigning weights to individual predictive densities using a scoring rule based on the censored...
Persistent link: https://www.econbiz.de/10010384112
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