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CEO emotional bias and dividend policy: Bayesian network method
Author(s) -
Mohamed Ali Azouzi,
Anis Jarboui
Publication year - 2012
Publication title -
business and economic horizons
Language(s) - English
Resource type - Journals
eISSN - 1804-5006
pISSN - 1804-1205
DOI - 10.15208/beh.2012.1
Subject(s) - dividend , bayesian network , bayesian probability , econometrics , business , economics , computer science , artificial intelligence , finance
This paper assumes that managers, investors, or both behave irrationally. In addition, even though scholars have investigated behavioral irrationality from three angles, investor sentiment, investor biases and managerial biases, we focus on the relationship between one of the managerial biases, overconfidence and dividend policy. Previous research investigating the relationship between overconfidence and financial decisions has studied investment, financing decisions and firm values. However, there are only a few exceptions to examine how a managerial emotional bias (optimism, loss aversion and overconfidence) affects dividend policies. This stream of research contends whether to distribute dividends or not depends on how managers perceive of the company’s future. We will use Bayesian network method to examine this relation. Emotional bias has been measured by means of a questionnaire comprising several items. As for the selected sample, it has been composed of some 100 Tunisian executives. Our results have revealed that leader affected by behavioral biases (optimism, loss aversion, and overconfidence) adjusts its dividend policy choices based on their ability to assess alternatives (optimism and overconfidence) and risk perception (loss aversion) to create of shareholder value and ensure its place at the head of the management team.

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