Clustering companies listed on the Warsaw Stock Exchange according to time-varying beta Cover Image

Grupowanie spółek notowanych na Giełdzie Papierów Wartościowych w Warszawie według bet zmiennych w czasie
Clustering companies listed on the Warsaw Stock Exchange according to time-varying beta

Author(s): Piotr Szczepocki
Subject(s): Financial Markets
Published by: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Keywords: time series clustering; cluster analysis; time-varying beta;

Summary/Abstract: The beta parameter is a popular tool for the evaluation of portfolio performance. The Sharpe single-index model is a simple regression model in which the stock’s returns are regressed against the returns of a broader index. The beta parameter is a measure of the strength of this relation. Extensive recent research has proved that the beta is not constant in time and should be modelled as a time-variant coefficient. One of the most popular methods of the estimation of a time-varying beta is the Kalman filter. As the output of the Kalman filter, one obtains a sequence of the estimates of a time-varying beta. This sequence shows the historical dynamics of sensitivity of a company’s returns to the variations of market returns. The article proposes a method of clustering companies listed on the Warsaw Stock Exchange according to time-varying betas.

  • Issue Year: 23/2019
  • Issue No: 2
  • Page Range: 63-79
  • Page Count: 17
  • Language: English
Toggle Accessibility Mode