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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Attractive Or Aggressive? A Face Recognition And Machine Learning Approach For Estimating Returns To Visual Appearance, Guodong Guo, Brad R. Humphreys, Mohammad I. Nouyed, Yang Zhou
Attractive Or Aggressive? A Face Recognition And Machine Learning Approach For Estimating Returns To Visual Appearance, Guodong Guo, Brad R. Humphreys, Mohammad I. Nouyed, Yang Zhou
Economics Faculty Working Papers Series
A growing literature documents the presence of appearance premia in labor markets. We analyze appearance premia in a high-profile, high-pay setting: head football coaches at bigtime college sports programs. These employees face job tasks involving repeated interpersonal interaction on multiple fronts and also act as the “face” of their program. We estimate the attractiveness of each employee using a neural network approach, a pre-trained Convolutional Neural Network fine tuned for this application. This approach can eliminate biases induced by volunteer evaluators and limited numbers of photos. We also use this approach to estimate the perceived aggressiveness of each employee based …
Stock Returns And Investor Sentiment: Textual Analysis And Social Media, Zachary Mcgurk, Adam Nowak, Joshua C. Hall
Stock Returns And Investor Sentiment: Textual Analysis And Social Media, Zachary Mcgurk, Adam Nowak, Joshua C. Hall
Economics Faculty Working Papers Series
The behavioral finance literature has found that investor sentiment has predictive ability for equity returns. This differs from standard finance theory, which provides no role for investor sentiment. We examine the relationship between investor sentiment and stock returns by employing textual analysis on social media posts. We find that our investor sentiment measure has a positive and significant effect on abnormal stock returns. These findings are consistent across a number of different models and specifications, providing further evidence against non-behavioral theories.