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  • Search: subject:"Bootstrap likelihood"
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Year of publication
Subject
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Bootstrap approach 4 Bootstrap-Verfahren 4 Aktienmarkt 2 Bootstrap likelihood 2 Bootstrap likelihood test 2 Börsenkurs 2 Capital income 2 Coronavirus 2 Covered warrants 2 Kapitaleinkommen 2 Market efficiency 2 Share price 2 Stochastic dominance 2 Stock market 2 Volatility 2 Volatilität 2 ARCH model 1 ARCH-Modell 1 Aggregating samples 1 Approximate Bayesian Computational methods 1 BRICS 1 BRICS countries 1 BRICS-Staaten 1 Bivariate Beta distribution 1 CAPM 1 COVID-19 1 Causality analysis 1 Cointegration 1 Efficient market hypothesis 1 Effizienzmarkthypothese 1 Empirical likelihood 1 Epidemic 1 Epidemie 1 Estimating equations 1 Estimation 1 Estimation theory 1 Exponential tilting 1 Interest rate 1 Interest rate uncertainty 1 Investment volatility 1
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Online availability
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Undetermined 5 Free 1
Type of publication
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Article 6 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4
Language
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English 4 Undetermined 3
Author
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Olasehinde-Williams, Godwin 3 Qiao, Zhuo 2 Özkan, Oktay 2 Chan, Chia-Ying 1 Chan, Chia-ying 1 Diazaraque, Juan Miguel Marín 1 Lee, Chien-Chiang 1 Leisen, Fabrizio 1 Oalnipekun, Ifedola 1 Olanipekun, Ifedola 1 Peretti, Christian de 1 Wong, Wing Keung 1 Wong, Wing-Keung 1 Worton, Bruce 1 Zhu, Weixuan 1 de Peretti, Christian 1
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Institution
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Departamento de Estadistica, Universidad Carlos III de Madrid 1
Published in...
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Finance a úvěr 2 Computational Statistics 1 Journal of Empirical Finance 1 Journal of economics and finance : JEF 1 Journal of empirical finance 1 Statistics and Econometrics Working Papers 1
Source
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ECONIS (ZBW) 4 RePEc 3
Showing 1 - 7 of 7
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Stock markets reaction to COVID-19 : evidence from time-varying cointegration, leveraged bootstrap causality and event analysis
Lee, Chien-Chiang; Olasehinde-Williams, Godwin; … - In: Finance a úvěr 72 (2022) 4, pp. 328-355
Persistent link: https://www.econbiz.de/10013474448
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Predicting stock returns and volatility in BRICS countries during a pandemic : evidence from the novel wild bootstrap likelihood ratio approach
Özkan, Oktay; Olasehinde-Williams, Godwin; Olanipekun, … - In: Finance a úvěr 72 (2022) 2, pp. 124-149
Persistent link: https://www.econbiz.de/10013271554
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Is interest rate uncertainty a predictor of investment volatility? : evidence from the wild bootstrap likelihood ratio approach
Olasehinde-Williams, Godwin; Özkan, Oktay - In: Journal of economics and finance : JEF 46 (2022) 3, pp. 507-521
Persistent link: https://www.econbiz.de/10013442205
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A Bootstrap Likelihood approach to Bayesian Computation
Zhu, Weixuan; Diazaraque, Juan Miguel Marín; Leisen, … - Departamento de Estadistica, Universidad Carlos III de … - 2014
convergence property of the empirical likelihood. To overcome this problem, we propose an alternative method based on a bootstrap … likelihood approach. The method is easy to implement and in some cases it is faster than the other approaches. The performance of …
Persistent link: https://www.econbiz.de/10010894454
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Empirical test of the efficiency of the UK covered warrants market : stochastic dominance and likelihood ratio test approach
Chan, Chia-ying; Peretti, Christian de; Qiao, Zhuo; … - In: Journal of empirical finance 19 (2012) 1, pp. 162-174
Persistent link: https://www.econbiz.de/10009615744
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Empirical test of the efficiency of the UK covered warrants market: Stochastic dominance and likelihood ratio test approach
Chan, Chia-Ying; de Peretti, Christian; Qiao, Zhuo; … - In: Journal of Empirical Finance 19 (2012) 1, pp. 162-174
This paper represents the first attempt to apply a stochastic dominance (SD) approach to examine the efficiency of the UK covered warrants market. Our empirical analyses reveal that neither covered warrants nor their underlying shares stochastically dominate the other, indicating the...
Persistent link: https://www.econbiz.de/10010942981
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Efficient construction of a smooth nonparametric family of empirical distributions and calculation of bootstrap likelihood
Worton, Bruce - In: Computational Statistics 27 (2012) 2, pp. 269-283
Persistent link: https://www.econbiz.de/10010558266
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