Insider Trading: A Quantitative Analysis of Premature Market Reactions in Thailand’s Stock Exchanges

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Abstract/Contents

Abstract
This paper analyzes various firm, exchange and political power specific characteristics that affect intensity of insider trading in Thailand’s equity markets. Using data from 2007 to 2017 provided by the Stock Exchange of Thailand (SET), the study utilizes an event-driven analysis and tracks abnormal stock returns, calculated using a three-factor Fama-French model, leading up to quarterly earnings announcements. These daily returns are normalized and are regressed on various fixed effects to capture variables that intensify and ameliorate premature stock price movements. This paper illustrates that military control in Thailand has non- negligible effects of lessening premature price movements across all equity markets, while capturing exchange-specific effects that diminish as the impact of the earnings announcements on the absolute value of the change equity prices rise.

Description

Type of resource text
Date created May 3, 2018

Creators/Contributors

Author Chayavivatkul, Pavin
Primary advisor Shoven, John B.

Subjects

Subject Department of Economics
Subject Stock Exchange of Thailand
Subject Market for Alternative Investment
Subject abnormal price fluctuations
Subject insider trading
Subject financial markets
Subject Thailand
Genre Thesis

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User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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Preferred Citation
Chayavivatkul, Pavin. (2018). Insider Trading: A Quantitative Analysis of Premature Market Reactions in Thailand’s Stock Exchanges. Stanford Digital Repository. Available at: https://purl.stanford.edu/dj028cz2349

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Stanford University, Department of Economics, Honors Theses

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