Abstract

PurposeBoth investors and the stock markets are believed to behave in a perfectly rational manner, where investors focus on utility maximization and are not subjected to cognitive biases or any information processing errors. However, it has been discovered that the sentiment of the social mood has a significant impact on the stock market. This study aims to analyze how did the protest event of Tesla happened in April 2021 have a significant effect on the company's stock performance as well as its competitors, Nio, under the competitive effect.Design/methodology/approachThe research is based on time series data collected from Tesla and Nio by employing 10 days, 15 days and 20 days anticipation and adjustment period for the event study. This study employed a text sentiment analysis to identify the polarity of the sentiment of the protest event using the Microsoft Azure machine learning tool which utilizes MPQA subjective lexicon.FindingsThe findings provide further evidence to show that a company-specific negative event has deteriorating effects on its stock performance, while having an opposite effect on its competitors.Research limitations/implicationsThe paper argues that negative sentiments through social media word of mouth (SWOM) affect the stock market not just in the short run but potentially in the longer run. Such negative sentiments might create a snowball effect which causes the market to further scrutinize a company's operations and possibly lose confidence in the company.Originality/valueThis study explores how the Tesla's protest event at Shanghai Auto Show 2021 has a significant impact on Tesla's stock performance and prolonged negative impact although Tesla implemented immediate remedial actions. The remedial actions were not accepted positively and induced a wave of negative news which had a more persistent effect.

Highlights

  • Researchers of behavioral finance proposed that investors are not perfectly rational and make systematic errors due to emotions, social influence, self-deception and information processing errors (Statman, 2008)

  • A recent event that showed a clear depiction of behavioral finance is when the share price of Tesla Motors fell by almost 12% immediately after Elon Musk, the CEO of Tesla Motors, said that its share price seems “too high” in his social media (Bursztynsky, 2020)

  • The results showed that the negative event of Tesla caused the abnormal returns of Tesla to deteriorate during the adjustment period, which is after the event

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Summary

Introduction

Researchers of behavioral finance proposed that investors are not perfectly rational and make systematic errors due to emotions, social influence, self-deception and information processing errors (Statman, 2008). Psychologists validate those emotions which plays a significant role in the decision-making process, and this more so applies to individuals when making financial decisions, because it often involves more factors at stake, which stirs up the. The full terms of this licence may be seen at http://creativecommons. org/licences/by/4.0/legalcode

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