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  • Search: subject:"log-periodogram estimation"
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Year of publication
Subject
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log-periodogram estimation 6 volatilities 4 Long-memory 3 Börsenkurs 2 Deutschland 2 Hausman test 2 Long memory 2 Schätztheorie 2 Volatilität 2 long memory 2 Börsenkurs (STW) 1 Capital income 1 Deutschland (STW) 1 Estimation theory 1 Germany 1 Kapitaleinkommen 1 Kapitalertrag 1 Kapitalertrag (STW) 1 Schätztheorie (STW) 1 Share price 1 Volatility 1 Volatilität (STW) 1
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Online availability
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Free 5 Undetermined 1
Type of publication
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Book / Working Paper 5 Article 1
Type of publication (narrower categories)
All
Working Paper 3 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 3 Undetermined 3
Author
All
Sibbertsen, Philipp 6 Davidson, James 1 Davidson, James E. H. 1
Institution
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1 Wirtschaftswissenschaftliche Fakultät, Leibniz Universität Hannover 1
Published in...
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Diskussionsbeitrag 1 Empirical Economics 1 Hannover Economic Papers (HEP) 1 Technical Report 1 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1 Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 1
Source
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RePEc 3 EconStor 2 ECONIS (ZBW) 1
Showing 1 - 6 of 6
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Tests of Bias in Log-Periodogram Regression
Davidson, James E. H.; Sibbertsen, Philipp - 2005
This paper proposes simple Hausman-type tests to check for bias in the log-periodogram regression of a time series believed to be long memory. The statistics are asymptotically standard normal on the null hypothesis that no bias is present, and the tests are consistent. The use of the tests in...
Persistent link: https://www.econbiz.de/10010262938
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Cover Image
Tests of Bias in Log-Periodogram Regression
Davidson, James; Sibbertsen, Philipp - Wirtschaftswissenschaftliche Fakultät, Leibniz … - 2005
This paper proposes simple Hausman-type tests to check for bias in the log-periodogram regression of a time series believed to be long memory. The statistics are asymptotically standard normal on the null hypothesis that no bias is present, and the tests are consistent. The use of the tests in...
Persistent link: https://www.econbiz.de/10005243353
Saved in:
Cover Image
Long-memory in volatilities of German stock returns
Sibbertsen, Philipp - 2001
We show that there is strong evidence of long-range dependence in the volatilities of several German stock returns. This will be done by estimating the memory parameter of the absolute returns with classical log-periodogram regression as well as by employing the tapered periodogram. Both...
Persistent link: https://www.econbiz.de/10010316498
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Cover Image
Long-memory in volatilities of German stock returns
Sibbertsen, Philipp - Institut für Wirtschafts- und Sozialstatistik, … - 2001
We show that there is strong evidence of long-range dependence in the volatilities of several German stock returns. This will be done by estimating the memory parameter of the absolute returns with classical log-periodogram regression as well as by employing the tapered periodogram. Both...
Persistent link: https://www.econbiz.de/10010955393
Saved in:
Cover Image
Long-memory in volatilities of German stock returns
Sibbertsen, Philipp - 2001
We show that there is strong evidence of long-range dependence in the volatilities of several German stock returns. This will be done by estimating the memory parameter of the absolute returns with classical log-periodogram regression as well as by employing the tapered periodogram. Both...
Persistent link: https://www.econbiz.de/10009776762
Saved in:
Cover Image
Long memory in volatilities of German stock returns
Sibbertsen, Philipp - In: Empirical Economics 29 (2004) 3, pp. 477-488
We show that there is strong evidence of long-range dependence in the volatilities of several German stock returns. This will be done by applying a method using the difference of the classical log-periodogram regression estimator for the memory parameter and of the tapered periodogram based...
Persistent link: https://www.econbiz.de/10005612877
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