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  • Search: subject:"Positive semidefiniteness"
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Year of publication
Subject
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Downside risk 5 Estimation efficiency 5 Portfolio optimization 5 Positive semidefiniteness 5 Solvency II 5 Value-at-Risk 5 Estimation 3 Risikomanagement 3 Risk management 3 Schätzung 3 Mathematical programming 2 Mathematische Optimierung 2 Portfolio selection 2 Portfolio-Management 2 Risikomaß 2 Risk measure 2 Theorie 2 Theory 2 Analysis of variance 1 Cone 1 Conic linear programming 1 Correlation 1 Dual cone 1 Duality 1 Estimation theory 1 Factor analysis 1 Faktorenanalyse 1 Fourier analysis 1 Korrelation 1 Nichtparametrisches Verfahren 1 Nonparametric statistics 1 Positive semi-definiteness 1 Schätztheorie 1 Space tensor 1 Varianzanalyse 1 Volatility 1 Volatilität 1 factor analysis 1 nonparametric covariance estimator 1 positive semidefiniteness 1
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Online availability
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Free 3 Undetermined 2 CC license 1
Type of publication
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Article 4 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 4 Undetermined 3
Author
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Mittnik, Stefan 5 Akahori, Jiro 1 Kambara, Reika 1 Liu, Nien-Lin 1 Mancino, Maria Elvira 1 Mariotti, Tommaso 1 Qi, Liqun 1 Yasuda, Yukie 1 Ye, Yinyu 1
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Institution
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Center for Financial Studies 1
Published in...
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CFS Working Paper 1 CFS Working Paper Series 1 CFS working paper series 1 Computational Optimization and Applications 1 Economics Letters 1 Economics letters 1 Risks : open access journal 1
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Source
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ECONIS (ZBW) 3 RePEc 3 EconStor 1
Showing 1 - 7 of 7
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Symmetric positive semi-definite Fourier estimator of spot covariance matrix with high frequency data
Akahori, Jiro; Kambara, Reika; Liu, Nien-Lin; Mancino, … - In: Risks : open access journal 13 (2025) 10, pp. 1-30
This paper proposes a nonparametric estimator of the spot volatility matrix with high-frequency data. Our newly proposed Positive Definite Fourier (PDF) estimator produces symmetric positive semi-definite estimates and is consistent with a suitable choice of the localizing kernel. The PDF...
Persistent link: https://www.econbiz.de/10015492652
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VaR-implied tail-correlation matrices
Mittnik, Stefan - 2013
Empirical evidence suggests that asset returns correlate more strongly in bear markets than conventional correlation estimates imply. We propose a method for determining complete tail-correlation matrices based on Value-at-Risk (VaR) estimates. We demonstrate how to obtain more effi cient...
Persistent link: https://www.econbiz.de/10010325131
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VaR-implied tail-correlation matrices
Mittnik, Stefan - Center for Financial Studies - 2013
Empirical evidence suggests that asset returns correlate more strongly in bear markets than conventional correlation estimates imply. We propose a method for determining complete tail-correlation matrices based on Value-at-Risk (VaR) estimates. We demonstrate how to obtain more effi cient...
Persistent link: https://www.econbiz.de/10010958605
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VaR-implied tail-correlation matrices
Mittnik, Stefan - In: Economics Letters 122 (2014) 1, pp. 69-73
guarantee positive semidefiniteness, a property required for valid risk aggregation and Markowitz-type portfolio optimization …
Persistent link: https://www.econbiz.de/10010729474
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Space tensor conic programming
Qi, Liqun; Ye, Yinyu - In: Computational Optimization and Applications 59 (2014) 1, pp. 307-319
Space tensors appear in physics and mechanics. Mathematically, they are tensors in the three-dimensional Euclidean space. In the research area of diffusion magnetic resonance imaging, convex optimization problems are formed where higher order positive semi-definite space tensors are involved. In...
Persistent link: https://www.econbiz.de/10010937796
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VaR-implied tail-correlation matrices
Mittnik, Stefan - In: Economics letters 122 (2014) 1, pp. 69-73
Persistent link: https://www.econbiz.de/10010393953
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Cover Image
VaR-implied tail-correlation matrices
Mittnik, Stefan - 2013
Empirical evidence suggests that asset returns correlate more strongly in bear markets than conventional correlation estimates imply. We propose a method for determining complete tail-correlation matrices based on Value-at-Risk (VaR) estimates. We demonstrate how to obtain more effi cient...
Persistent link: https://www.econbiz.de/10010191900
Saved in:
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