Investors and analysts classify firms to conduct valuations or to evaluate performance. The industry groupings usually rely on SIC, NAIC, GICS, or Fama-French classifications. Our purpose is to form groups of companies based on the structure of their financial statements. Using cluster analysis,...

We consider which readily observable characteristics of individual stocks (e.g., option implied volatility, accounting data, analyst data) may be used to forecast subsequent extreme price movements. We are the first to explicitly consider the predictive influence of option implied volatility in...

Prior literature shows that the implied volatility spread between call and put options is a bullish signal for future returns on the underlying stocks. A common interpretation is that a high call-put implied volatility spread indicates favorable private information revealed by informed option...

Equity option markets exhibit intense trading activity. We use the variability of option implied volatility spread as a proxy for the impounding of new information, and changes in the interpretation of existing information, into option prices. Over the 2006 – 2016 period, we find that the...

Prior literature finds information is reflected in option markets before stock markets using daily and weekly trading volume, but evidence is mixed at the intraday level. Using novel intraday signed option volume data, we develop a composite option trading score (OTS) and document its stock...

We examine how informed traders trade in the option market around news announcements. We show that their profits depend on whether positions are long or short, whether trades take place before or after news releases, and whether events are scheduled or unscheduled. We predict and find that...