Abstract

PurposeThis paper uses the event study methodology to analyze the impact of unexpected political event on stocks abnormal returns. The objective is twofold. The first is to reach robust estimates of stocks abnormal returns. The second is to reach robust estimates of the effects of unexpected political events on stocks abnormal returns.Design/methodology/approachThis paper experiments with three different methods to estimate stocks abnormal returns, namely: market model, mean-adjusted model and market-adjusted model. The sample includes the firms listed in the leading index in Egypt stock exchange (EGX30). The statistical tests, Anderson–Darling test for normality, Wilcoxon rank-sum test for comparing the significance of the estimates, and Breusch–Pagan, Cook–Weisberg test for heterogeneity of abnormal returns.FindingsThe results indicate that (a) statistical differences between the three estimates exist, which indicates that the three methods of abnormal return estimation are not substitutes, or alternatives, to each other, (b) that is, the political event is considered an anomaly which has idiosyncratic effects. This is contrary to the common belief that political events have systematic effects.Originality/valueThe contribution of this paper is twofold. First, the estimation of abnormal returns must be examined for robustness in order to ensure reliability. Second, the results offer robust evidence that political risk premium is an anomaly, which is a call for stock market participants not to panic. Eventually, it saves investors’ wealth.

Highlights

  • Information uncertainty poses an ongoing challenge to financial estimations

  • The objective of the first part is to examine the reliability of the three estimates of standardized abnormal returns

  • The reliability of standardized abnormal returns estimates (Wilcoxon test) The estimation of abnormal returns using more than one method raises a methodological question whether the estimates are reliable and consistent

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Summary

Introduction

Information uncertainty poses an ongoing challenge to financial estimations. Robustness of measuring uncertain financial variables results in making valid decisions. One of the very well-known sources of uncertainty is political instability. Many countries have witnessed political disruptions that have taken various forms such as presidential elections, change of government administration and riots. The uncertainty that surrounds political events leads investors and financial analysts formulate their own expectations about the cost of equity financing.

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