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2014 | 14 | nr 2 | 270--286
Tytuł artykułu

Intervalling Effect on Estimating the Beta Parameter for the Largest Companies on the WSE

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the modern portfolio theory investment risk plays a crucial role. It is the subject of numerous studies and publications, in particular in relation to the management of investment portfolios. Commonly used measure of investment management in equities is a beta parameter, which is used to estimate individual stock risk and portfolio risk. In particular, numerous studies the subject of which are the beta parameter properties such as stability in the context of the stock market cycle phases, intervalling effect, length estimation sample etc. The main objective of this paper is to investigate the intervalling effect on the beta parameter. The empirical analysis is carried out for the 33 largest companies of the Warsaw Stock Exchange (WSE) on a sample from the years 2005 to 2012 on the basis of daily, weekly and monthly rates of return. Statistical verification of the hypothesis of the importance of the frequency measuring the return of shares will be based on the single-index Sharpe's model.(original abstract)
Rocznik
Tom
14
Numer
Strony
270--286
Opis fizyczny
Twórcy
  • University of Finance and Management in Warsaw, Poland
  • University of Lodz, Poland
  • Warsaw University of Life Sciences - SGGW, Poland
Bibliografia
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  • Brzeszczyński, J., Gajdka, J. & Schabek, T. (2011). The Role of Stock Size and Trading Intensity in the Magnitude of the "Interval Effect" in Beta Estimation: Empirical Evidence from the Polish Capital Market. Emerging Markets Finance & Trade, 47, 1.
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  • Damodaran, A. (2001). The Dark Side of Valuation. New York: Prentice Hall.
  • Daves, P.R., Ehrhardt, M.C. & Kunkel, R.A. (2000). Estimating systematic risk: The choice of return interval and estimation period. Journal of Financial and Strategic Decisions, 13, 1.
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  • Fisher, L. & Kamin, J.H. (1985). Forecasting Systematic Risk: Estimates of "Raw" Beta that Take Account of the Tendency of Beta to Change and the Heteroskedasticity of Residual Returns. Journal of Financial and Quantitative Analysis, 20, 2.
  • Handa, P., Kothari, S.P. & Wasley, C. (1989). The relation between the return interval and betas: Implications for the size effect. Journal of Financial Economics, 23.
  • Handa, P., Kothari, S. & Wasley, C. (1993). Sensitivity of Multivariate Tests of the CAPM to the. Return Measurement Interval. Journal of Finance, 48.
  • Hawawini, G. (1983). Why Beta Shifts as the Return Interval Changes. Financial Analysts Journal, 39.
  • Kim, M. & Zumwalt, K. (1979). An Analysis of Risk in Bull and Bear Markets. Journal of Financial and Quantitative Analysis, 14. 5.
  • Krishna, Y.R. (2010). Estimating Systematic Risk: The Return Interval and Proxy for the Market Effect. International Research Journal of Finance and Economics, 51.
  • Levy, R.A. (1971). On the Short Term Stationarity of Beta Coefficient. Financial Analysts Journal, 27, 6.
  • Levy, R.A. (1974). Beta Coefficient as Predictors of Return. Financial Analysts Journal, 30, 1.
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  • Maddala, G.S. (2008). Ekonometria. Warszawa: Wydawnictwo Naukowe PWN.
  • Mukherji, S. (2009). The Impact of the Return Interval on Beta Estimation. Journal of International Finance and Economics, 9, 1.
  • Saniga, E.M., McInish, T.H. & Gouldey, B.K. (1981). The Effect of Differencing Interval Length on Beta. The Journal of Financial Research, 4, 2.
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  • Sharpe, W.F. (1963). A Simplified Model of Portfolio Analysis. Management Science, 9, 2.
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Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.ekon-element-000171357347

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