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The Information Content of Equity Block Trades on the Warsaw Stock Exchange: An Estimation of Shares' Returns with the Usage of Simple Linear Regression and Multivariate Adaptive Regression Splines

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  • Michael H. Breitner
  • Christian Dunis
  • Hans-Jörg Mettenheim
  • Christopher Neely
  • Georgios Sermpinis
  • Bartosz Kurek

Abstract

ABSTRACT Equity block trade transactions per se directly relate to the valuation of a company's equity capital. These transactions are executed outside the continuous trading system and single price system, and involve trading of large volumes of shares at an agreed price. This paper investigates the information content of equity block trade transactions for companies constituting the WIG20 index from the Warsaw Stock Exchange in Poland. Two research methods are used: literature review and event study analysis. In the empirical part of the paper two approaches are used to model shares' returns: simple linear regression and multivariate adaptive regression splines. From the conducted research it is concluded that equity block trade transactions carry an important signal for investors acting on a stock exchange: significant abnormal positive (negative) returns follow the execution of the equity block trade, the price of which is higher (lower) than the closing price 2 days before the execution of the transaction. Copyright © 2014 John Wiley & Sons, Ltd.

Suggested Citation

  • Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Bartosz Kurek, 2014. "The Information Content of Equity Block Trades on the Warsaw Stock Exchange: An Estimation of Shares' Returns with the Usage of Simple Linear Regression and Multivariate Adaptive Regression Splines," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 433-454, September.
  • Handle: RePEc:wly:jforec:v:33:y:2014:i:6:p:433-454
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    Cited by:

    1. Onur Enginar & Kazim Baris Atici, 2022. "Optimal forecast error as an unbiased estimator of abnormal return: A proposition," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 158-166, January.

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