Risk Factors That Matter: Textual Analysis of Risk Disclosures for the Cross-Section of Returns

Working Papers

I exploit unsupervised machine learning and natural language processing techniques to elicit the risk factors that firms themselves identify in their annual reports. I quantify the firms’ exposure to each identified risk, design an econometric test to classify them as either systematic or idiosyncratic, and construct factor mimicking portfolios that proxy for each undiversifiable source of risk.Read More

Being Innovative Pays Off, But When?

Funded Research Proposal

The research objective is to determine how quickly product innovation translates into higher stock market valuations. The novelty in the research approach is using online consumer reviews on websites including Amazon, eBay; combined with stock market data.Read More