Journal of Asian Business and Economic Studies
Vol. 29(2) , June 2022, Page 105-119


Do negative events really have deteriorating effects on stock performance? A comparative study on Tesla (US) and Nio (China)
Yi Xuan Lim & Consilz Tan

Abstract
Purpose Both 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/approach The 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. Findings The 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/implications The 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/value This 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.

Keywords
Stock market, Sentiment analysis, Event analysis, Social media word of mouth (SWOM), Behavioral finance
Do average higher moments predict aggregate returns in emerging stock markets?
2022, Journal of Asian Business and Economic Studies More

Forecasting stock price movement: new evidence from a novel hybrid deep learning model
2022, Journal of Asian Business and Economic Studies More