His research primarily focuses on asset pricing and behavioral finance, particularly return predictability, the determinants of stock price fluctuations, and the formation of investor expectations.
His work has highlighted the value of using survey data on investor beliefs to explain overall stock market fluctuations. He has also developed a forward price ratio that outperforms traditional trailing price ratios in predicting stock market returns, revealing the limitations of using GAAP earnings for company valuation. Recently, his work shows how investor biases are linked to sentiment, indicating that these processing biases are dynamic. His research has been featured at leading conferences such as the “NBER Behavioral Finance,” the “WFA Macro-Finance Meeting,” and the “EFA Annual Meeting,” including receiving the ‘WFA Brattle Group PhD Award for Outstanding Research.’
He holds a PhD in Economics from New York University, an MSc in Economics from the London School of Economics, and a BA in Mathematics and Economics from Trinity College Dublin where he graduated with summa cum laude honors. He worked in the financial industry prior to his PhD studies.
