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  • Search: subject:"Maximum eigenvalue"
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Year of publication
Subject
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wild bootstrap 6 Co-integration 4 Cointegration 3 Korrelation 3 Large sample covariance matrix 3 Maximum eigenvalue 3 Varianzanalyse 3 conditional heteroskedasticity 3 non-stationary volatility 3 trace and maximum eigenvalue tests 3 Estimation theory 2 Factor models 2 Factor models, Large sample covariance matrix, Maximum eigenvalue 2 Kointegration 2 Schätztheorie 2 Swap 2 Theorie 2 Theory 2 i.i.d. bootstrap 2 maximum eigenvalue 2 swaps 2 trace 2 trace and maximum eigenvalue rank tests 2 AHP approach 1 AHP-Verfahren 1 Analysis of variance 1 Analytical network process (ANP) 1 Barndorff-Nielsen and Shephard model 1 Bartlett correction 1 Consistency test 1 Correlation 1 Decision 1 Einheitswurzeltest 1 Entscheidung 1 Extreme canonical correlations 1 Faktorenanalyse 1 Generalized variance 1 High-dimensional cointegration 1 IID bootstrap 1 Inconsistency identification and adjustment 1
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Online availability
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Free 7 Undetermined 4
Type of publication
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Book / Working Paper 12 Article 6
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4 Working Paper 4 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 16 Undetermined 2
Author
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Kapetanios, George 6 Cavaliere, Giuseppe 5 Rahbek, Anders 5 Taylor, A. M. Robert 3 Biswas, Subhojit 2 Mukherjee, Diganta 2 Taylor, A.M. Robert 2 CAVALIERE, GIUSEPPE 1 Ergu, Daji 1 Hjalmarsson, Erik 1 Kou, Gang 1 Onatski, Alexei 1 Pashkus, M. V. 1 RAHBEK, ANDERS 1 SenGupta, Indranil 1 Shi, Yong 1 Shi, Yu 1 TAYLOR, ROBERT 1 Wang, Chen 1 Österholm, Pär 1
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Institution
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School of Economics and Finance, Queen Mary 3 Granger Centre for Time Series Econometrics, School of Economics 2 School of Economics and Management, University of Aarhus 2 Økonomisk Institut, Københavns Universitet 1
Published in...
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Working Paper 3 Working Papers / School of Economics and Finance, Queen Mary 3 CREATES Research Papers 2 Discussion Papers / Granger Centre for Time Series Econometrics, School of Economics 2 Annals of financial economics 1 Annals of marketing-mba 1 Computers & operations research : and their applications to problems of world concern ; an international journal 1 Discussion Papers / Økonomisk Institut, Københavns Universitet 1 Estudios de Economía Aplicada 1 International finance discussion papers 1 International journal of financial engineering 1 Journal of econometrics 1
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Source
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RePEc 10 ECONIS (ZBW) 5 EconStor 3
Showing 1 - 10 of 18
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Multi-asset generalized variance swaps in Barndorff-Nielsen and Shephard model
Biswas, Subhojit; Mukherjee, Diganta; SenGupta, Indranil - In: International journal of financial engineering 7 (2020) 4, pp. 1-36
Persistent link: https://www.econbiz.de/10012603783
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Extreme canonical correlations and high-dimensional cointegration analysis
Onatski, Alexei; Wang, Chen - In: Journal of econometrics 212 (2019) 1, pp. 307-322
Persistent link: https://www.econbiz.de/10012303946
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A proposal for multi-asset generalized variance swaps
Biswas, Subhojit; Mukherjee, Diganta - In: Annals of financial economics 14 (2019) 4, pp. 1-29
Persistent link: https://www.econbiz.de/10012226643
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Co-integration Rank Testing under Conditional Heteroskedasticity
Cavaliere, Giuseppe; Rahbek, Anders; Taylor, A.M. Robert - School of Economics and Management, University of Aarhus - 2009
We analyse the properties of the conventional Gaussian-based co-integrating rank tests of Johansen (1996) in the case where the vector of series under test is driven by globally stationary, conditionally heteroskedastic (martingale difference) innovations. We first demonstrate that the limiting...
Persistent link: https://www.econbiz.de/10004991541
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Testing for Co-integration in Vector Autoregressions with Non-Stationary Volatility
Cavaliere, Giuseppe; Rahbek, Anders; Taylor, A.M. Robert - School of Economics and Management, University of Aarhus - 2008
Many key macro-economic and financial variables are characterised by permanent changes in unconditional volatility. In this paper we analyse vector autoregressions with non-stationary (unconditional) volatility of a very general form, which includes single and multiple volatility breaks as...
Persistent link: https://www.econbiz.de/10005440040
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Testing for Co-integration in Vector Autoregressions with Non-Stationary Volatility
Cavaliere, Giuseppe; Rahbek, Anders; Taylor, A. M. Robert - Økonomisk Institut, Københavns Universitet - 2008
perform very well in practice. Keywords: Co-integration; non-stationary volatility; trace and maximum eigenvalue tests; wild … conventional trace and maximum eigenvalue statistics of Johansen (1988,1991), demonstrating that the asymptotic null distributions … context by developing wild bootstrap-based implementations of Johansen�s maximum eigenvalue and trace test statistics. Our …
Persistent link: https://www.econbiz.de/10005749701
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APPLICATION TECHNIQUE OF THE INVESTMENT ATTRACTIVENESS AND COMPETITIVENESS ANALYSIS OF THE ART FACILITIES TO THE SEGMENT RUSSIAN PAINTING
Pashkus, M. V. - In: Annals of marketing-mba 3 (2014) 11
This article is devoted to investment attractiveness evaluation of various art objects. The paper substantiates the use of a matrix of strategic positioning techniques of the art facilities to identify their competitive status in order to reduce market risks for potential investors. The proposed...
Persistent link: https://www.econbiz.de/10011097411
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Analytic network process in risk assessment and decision analysis
Ergu, Daji; Kou, Gang; Shi, Yong; Shi, Yu - In: Computers & operations research : and their … 42 (2014), pp. 58-74
Persistent link: https://www.econbiz.de/10010235257
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Testing for cointegration using the Johansen methodology when variables are near-integrated
Hjalmarsson, Erik; Österholm, Pär - 2007
Persistent link: https://www.econbiz.de/10003997748
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A testing procedure for determining the number of factors in approximate factor models with large datasets
Kapetanios, George - 2005
The paradigm of a factor model is very appealing and has been used extensively in economic analyses. Underlying the factor model is the idea that a large number of economic variables can be adequately modelled by a small number of indicator variables. Throughout this extensive research activity...
Persistent link: https://www.econbiz.de/10010284186
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