A number of papers document a strong negative relation between idiosyncratic volatility and risk-adjusted stock returns. Using IHS Markit data on indicative borrowing fees, we show that stocks with high idiosyncratic volatility are far more likely to be hard-to-borrow than stocks with low...

This paper links the illiquidity of US Treasuries to funding liquidity and shows that dealers' financial constraints tighten after a positive shock to Treasury illiquidity. Consistent with the empirical properties of funding liquidity, illiquidity of Treasuries predicts changes in the TED spread...

Deep learning methods, which can accommodate wide ranges of various stock characteristics to identify optimal investment portfolio or stochastic discount factor (SDF), have been criticized for extracting their superior performances from difficult to arbitrage stocks, high limits-to-arbitrage...