Stetige versus diskrete Renditen Überlegungen zur richtigen Verwendung beider Begriffe in Theorie und Praxis
Year: 2002
Author: Dortleitner, Gregor
Credit and Capital Markets – Kredit und Kapital, Vol. 35 (2002), Iss. 2 : pp. 216–241
Abstract
Log Returns Versus Simple Returns Delibrations on How to Use Both Terms Properly in Theory and in Practice
This article analyses the differences between log and simple returns. Such differences are of great importance in many fields of capital market theory and financial management as far as stochastic and statistical properties are concerned. The article also addresses the question of annualising and estimating the variances and co-variances. On the basis of a practical example, the proper handling of both terms is shown. In addition, the article contains a few examples concerning non-intuitive facts, including one that proves a possible (4, o) dominance inversion when changing from the simple to the log return notion
Journal Article Details
Publisher Name: Global Science Press
Language: Multiple languages
DOI: https://doi.org/10.3790/ccm.35.2.216
Credit and Capital Markets – Kredit und Kapital, Vol. 35 (2002), Iss. 2 : pp. 216–241
Published online: 2002-02
AMS Subject Headings: Duncker & Humblot
Copyright: COPYRIGHT: © Global Science Press
Pages: 26
Author Details
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-
Bamberg, G.; Coenenberg, A.G. (2000): Betriebswirtschaftliche Entscheidungslehre (10. Auflage), Verlag Vahlen, München.
Google Scholar -
Bamberg, G.; Dorfleitner, G. (2001): Fat Tails and Traditional Capital Market Theory, Arbeitspapiere des Instituts für Statistik und Mathematische Wirtschaftstheorie der Universität Augsburg, Heft 177.
Google Scholar -
Deutsch, H.-P. (2001): Derivate und interne Modelle: Modernes Risikomanagement (2. Auflage), Schäffer-Poeschel, Stuttgart.
Google Scholar -
Deutsche Börse (Hrsg.) (2000): Leitfaden zu den Indexkennzahlen der Deutschen Börse, Version 1.1, Deutsche Börse, Frankfurt.
Google Scholar -
Gourieroux, C. (1997): ARCH Models and Financial Applications, Springer, New York et al.
Google Scholar -
Hull, J.C. (2000): Options, Futures, and Other Derivative Securities (4th Edition), Prentice Hall, London et al.
Google Scholar -
J.P Morgan/Reuters (Hrsg.) (1996): Risk Metrics Technical Document (4th Edition), J.P. Morgan, New York.
Google Scholar -
Mandelbrot, B. (1963): The Variations of Certain Speculative Prices, Journal of Business 36, 394-419.
Google Scholar -
Mittnik, S.; Paolella, M.S. (2000): Conditional Density and Value-at-Risk Prediction of Asian Currency Exchange Rates, Journal of Forecasting 19, 313-333.
Google Scholar -
Poirier, D.J. (1995): Intermediate Statistics and Econometrics: A Comparative Approach, MIT Press, Cambridge/London.
Google Scholar -
Röder, K. (1999): Kurswirkungen von Meldungen deutscher Aktiengesellschaften, Eul Verlag, Lohmar/Köln.
Google Scholar -
Runde, R.;, Scheffner, A. (1998): On the existence of moments - With an application to German stock returns. Technical Report 25/1998, SFB 475, Universität Dortmund.
Google Scholar -
Steiner, M.,;, Bruns, C. (2000): Wertpapiermanagement (7. überarbeitete und erweiterte Auflage), Schäffer-Poeschel, Stuttgart.
Google Scholar -
Uhlir, H., Steiner, P. (1994): Wertpapieranalyse (3. Auflage), Physica, Heidelberg.
Google Scholar -
Wagner, N. (1996): Approximative Nachbildung des Deutschen Akitenindexes (DAX), Finanzmarkt und Portfoliomanagement 10, 162-168.
Google Scholar