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  • Search: subject:"non-parametric volatility estimation"
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Year of publication
Subject
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non-parametric volatility estimation 4 high-frequency data 3 Nichtparametrisches Verfahren 2 Non-parametric volatility estimation 2 Nonparametric statistics 2 Ranking of volatility estimators 2 default probability 2 jumps 2 stochastic volatility 2 structural models 2 Capital income 1 Credit risk 1 Estimation 1 Forecasting model 1 Insolvency 1 Insolvenz 1 Kapitaleinkommen 1 Kreditrisiko 1 Market microstructure 1 Marktmikrostruktur 1 Merton model 1 Modellierung 1 Probability theory 1 Prognoseverfahren 1 Schätzung 1 Scientific modelling 1 Stochastic process 1 Stochastischer Prozess 1 Theorie 1 Theory 1 Time series analysis 1 Volatility 1 Volatilität 1 Wahrscheinlichkeitsrechnung 1 Zeitreihenanalyse 1 default probabilities 1 generalised lambda distributions 1 local linear regression 1 market microstructure noise 1 value-at-risk 1
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Online availability
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Free 4 Undetermined 1
Type of publication
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Article 4 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Article 1 Thesis 1
Language
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English 3 Undetermined 3
Author
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Barsotti, Flavia 3 Sanfelici, Simona 3 Ahoniemi, Katja 2 Lanne, Markku 2 Cecchinato, Nedda 1
Institution
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Dipartimento di Scienze per l'Economia e l'Impresa, Università degli Studi di Firenze 1
Published in...
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Econometrics 1 Econometrics : open access journal 1 International Journal of Forecasting 1 International journal of forecasting 1 Working Papers - Mathematical Economics 1
Source
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ECONIS (ZBW) 2 RePEc 2 BASE 1 EconStor 1
Showing 1 - 6 of 6
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Market microstructure effects on firm default risk evaluation
Barsotti, Flavia; Sanfelici, Simona - In: Econometrics 4 (2016) 3, pp. 1-31
Default probability is a fundamental variable determining the credit worthiness of a firm and equity volatility estimation plays a key role in its evaluation. Assuming a structural credit risk modeling approach, we study the impact of choosing different non parametric equity volatility...
Persistent link: https://www.econbiz.de/10011755337
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Market microstructure effects on firm default risk evaluation
Barsotti, Flavia; Sanfelici, Simona - In: Econometrics : open access journal 4 (2016) 3, pp. 1-31
Default probability is a fundamental variable determining the credit worthiness of a firm and equity volatility estimation plays a key role in its evaluation. Assuming a structural credit risk modeling approach, we study the impact of choosing different non parametric equity volatility...
Persistent link: https://www.econbiz.de/10011506497
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Microstructure effect on firm’s volatility risk
Barsotti, Flavia; Sanfelici, Simona - Dipartimento di Scienze per l'Economia e l'Impresa, … - 2012
Equity returns and firm's default probability are strictly interrelated financial measures capturing the credit risk profile of a firm. Following the idea proposed in [20] we use high-frequency equity prices in order to estimate the volatility risk component of a firm within Merton [17]...
Persistent link: https://www.econbiz.de/10010734984
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Forecasting time-varying value-at-risk
Cecchinato, Nedda - 2010
In this thesis we are interested in financial risk and the instrument we want to use is Value-at-Risk (VaR). VaR is the maximum loss over a given period of time at a given confidence level. Many definitions of VaR exist and some will be introduced throughout this thesis. There two main ways to...
Persistent link: https://www.econbiz.de/10009437788
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Overnight stock returns and realized volatility
Ahoniemi, Katja; Lanne, Markku - In: International Journal of Forecasting 29 (2013) 4, pp. 592-604
The information flow in modern financial markets is continuous, but major stock exchanges are open for trading for only a limited number of hours. No consensus has yet emerged on how to deal with overnight returns when calculating and forecasting realized volatility in markets where trading does...
Persistent link: https://www.econbiz.de/10010709417
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Overnight stock returns and realized volatility
Ahoniemi, Katja; Lanne, Markku - In: International journal of forecasting 29 (2013) 4, pp. 592-604
Persistent link: https://www.econbiz.de/10010212465
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