PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2018 | 12 | nr 1 | 5--15
Tytuł artykułu

Statistical Properties of Rates of Return on Shares Listed on the German, French, and Polish Markets - a Comparative Study

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The financial market and its instruments are subject to numerous studies all over the world. Special attention is duly earned by the multifaceted research and analysis of the behavior of rates of return on shares, as well as shares' other statistical properties including the beta parameter. Stock stability is considered by dividing the whole market into the bull and bear categories, and the rate of return is studied according to different frequencies of measurement. The purpose of this article is to examine the statistical properties of monthly rates of return for the biggest companies in terms of capitalization and turnover, which were listed on the stock exchange in Frankfurt, Paris, and Warsaw between 2005 and 2015. The basic descriptive statistics of the rates of return as well as the normality and stationarity of their time series undergo analysis. Moreover, hypotheses about equality of the expected value of the rate of return and its variance are subject to verification. This study is also conducted considering the division of the whole market into the bull and bear categories according to two definitions. The obtained results serve to conduct a comparative analysis of the three stock markets enumerated above. The results constitute an introduction to further and more advanced research on the beta parameter and its properties. (original abstract)
Rocznik
Tom
12
Numer
Strony
5--15
Opis fizyczny
Twórcy
  • University of Finance and Management in Warsaw, Poland
  • University of Lodz, Poland
  • University of Lodz, Poland
Bibliografia
  • Adu G., Alagidede P., & Karimu A. (2015). Stock return distribution in the BRICS. Review of Development Finance, 5(2), 98-109.
  • Charemza W., Deadman D.F. (1997). Nowa ekonometria [New econometrics]. Warsaw: PWE.
  • Corhay A., Tourani Rad A. (1994). Statistical Properties of Daily Returns: Evidence from European Stock Markets. Journal of Business Finance and Accounting, 21(2), 271-282.
  • Dębski W., Feder-Sempach E. (2012). Beta Coefficients of Polish Blue Chip Companies in the Period of 2005-2011. Folia Oeconomica Stetinensia, 12(20), 90-102.
  • Harrison B., Lupu R., & Lupu I. (2010). Statistical Properties of the CEE Stock Market Dynamics. A Panel Data Analysis. The Romanian Economic Journal, 13(37), 41-54.
  • Jajuga K. (2000). Metody ekonometryczne i statystyczne a analizie rynku kapitałowego (Econometric and statistical methods in the analysis of the capital market). Wrocław: Wydawnictwo Akademii Ekonomicznej we Wrocławiu.
  • Kompa K., Matuszewska-Janica A. (2008). Charakterystyki opisowe i efektywność informacyjna wybranych instrumentów notowanych na GPW [The characteristics of descriptive and informational efficiency of selected instruments listed on Warsaw Stock Exchange]. In: W. Tarczyński (Ed.), Rynek kapitałowy. Skuteczne inwestowanie [The capital market. Successful investing] (pp. 614-629). Szczecin: Studia i prace Wydziału Nauk Ekonomicznych i Zarządzania, Uniwersytet Szczeciński.
  • Kramer W., Runde R. (1996). Stochastic properties of German stock returns. Empirical Economics, 21(2), 281-306.
  • Officer R. (1972). The Distribution of Stock Returns. Journal of American Statistical Association, 67(340), 807-812.
  • Pagan A.R., Sossounov K.A. (2003). A Simple Framework for Analyzing Bull and Bear Markets. Journal of Applied Econometrics, 18(1), 23-46.
  • Piontek K. (2007). Pomiar i testowanie skośności rozkładów stóp zwrotu instrumentów finansowych [Measuring and Testing of Skewness for Financial Return Distributions]. Prace Naukowe Akademii Ekonomicznej we Wrocławiu. Taksonomia, 14(1169), 122-130.
  • Poon S.H., Taylor S.J.(1992). Stock returns and volatility: An empirical study of the UK stock market. Journal of Banking & Finance, 16(1), 37-59.
  • Qiua T., Zhenga B., Rena F., & Trimper S., (2007). Statistical properties of German Dax and Chinese indices. Physica A 378, 387-398.
  • Ren F., Guo L., & Zhou W.X. (2009). Statistical properties of volatility return intervals of Chinese stocks. Physica A: Statistical Mechanics and its Applications, 388( 6), 881-890.
  • Ren F., Zhou W.X. (2014). Dynamic Evolution of Cross-Correlations in the Chinese Stock Market. PLOS One, 9( 5), https://doi.org/10.1371/journal.pone.0097711.
  • Sharpe W.F. (1963). A Simplified Model of Portfolio Analysis. Management Science, 9(2), 277-293.
  • Teiletche J. (1998). La dynamique à treès haute fréquence de l'indice CAC 40, (The High Frequency Dynamic of the CAC40 Market). Finance, 19(2), 197-220.
  • Zumbach G., Fernández L., & Weber C. (2014). Processes for stocks capturing their statistical properties from one day to one year. Quantitative Finance, 14(5), 849-861.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171506551

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.