Paper Number

2368

Paper Type

Complete

Abstract

This study investigates the impact of verbal and nonverbal cues in CEO interview videos on market volatility, analyzing a dataset of 2,404 CEO interviews from S&P 500 companies from 2010 to 2022. Using advanced machine learning techniques, the research quantifies verbal, vocal, and visual cues to examine their relationship with market volatility. Empirical findings indicate a strong correlation between the elements of CEO interviews and market volatility. In the experimental phase, GANs are used to generate varying emotional expressions in CEO videos, and participants are shown these videos. The results reveal that videos with happy CEO expressions lead to expectations of increased stock value, while those with sad or surprised expressions predict a decrease. This comprehensive study highlights the significant influence of CEO verbal and nonverbal cues on market volatility.

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Dec 15th, 12:00 AM

Impact of Verbal and Nonverbal Cues in CEO Interview Videos on Market Volatility

This study investigates the impact of verbal and nonverbal cues in CEO interview videos on market volatility, analyzing a dataset of 2,404 CEO interviews from S&P 500 companies from 2010 to 2022. Using advanced machine learning techniques, the research quantifies verbal, vocal, and visual cues to examine their relationship with market volatility. Empirical findings indicate a strong correlation between the elements of CEO interviews and market volatility. In the experimental phase, GANs are used to generate varying emotional expressions in CEO videos, and participants are shown these videos. The results reveal that videos with happy CEO expressions lead to expectations of increased stock value, while those with sad or surprised expressions predict a decrease. This comprehensive study highlights the significant influence of CEO verbal and nonverbal cues on market volatility.

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