The literature develops the theoretical rationale for the Value of Tax Shields (VTS) on the following misguided basis: it uses required rate of return on assets (or WACC) as the discount rate for capitalization, it uses expected rate of return on assets (ROA¯ or ROI¯) as a proxy for WACC, and it is not aware of (1) the influence of the difference between “expected rate of return on equity” and “Required rate of Return On Equity (RROE)” on VTS, (2) the fact that RROE is equity normal profit which is not measurable, (3) the economic content of the weight attached to the VTS capacity, and (4) the co-definition of “tax shield and leverage return.” This paper takes tax shields and leverage return as a system and provides a knife, “interest rate/ROI=Cost/Price”, to slice the VTS capacity into “earned VTS” and “unearned VTS.” Earned VTS is VTS. Unearned VTS is the value of leverage return, because leverage return is tax payable.

Mutual funds have emerged and rapidly developed since 2000 in China. This study tests empirically the impact of mutual funds’ ownership on firm performance in China, using a large sample for the period of 2001–2005. We find that equity ownership by mutual funds has a positive effect on firm performance. The result is robust to several measures of firm performance and various estimations. Our finding supports recent regulatory efforts in China to promote mutual funds as a corporate governance mechanism and suggests that pooling diffuse minority interests of individual shareholders who are prone to free-rider problems via mutual funds is beneficial.

We decompose daily (close-to-close) changes of VIX into overnight (close-to-open) and trading-hour (open-to-close) changes. Consistent with the notion that non-trading creates uncertainty and trading resolves uncertainty, we find that on average VIX increases overnight and decreases during trading hours. More importantly, we document an important seasonality in VIX, i.e., the non-trading day effect. Overnight increase of VIX involving weekends or holidays is significantly higher than that over two consecutive trading days. We also document that VIX exhibits a clear pattern around pre-scheduled overnight and trading-hour macroeconomic announcement. Finally, we show that breaking VIX changes into overnight and trading-hour components and incorporating the non-trading day effect lead to not only significant improvements in in-sample fitting but also superior performance of out-of-sample-forecasting and active trading strategies.

We examine how cybercrime impacts victims’ risk-taking and returns. The results from our difference-in-differences analysis of a sample of victim and matched non-victim investors on the Ethereum blockchain are in line with prospect theory and suggests that victims increase their long-term total risk-taking after losing part of their wealth, leading to lower risk-adjusted returns in the post-cybercrime period. Victims’ long-term total risk-taking increases because they increase diversifiable risk due to victims’ post-cybercrime withdrawal from altcoins. At the same time, the reduction in risk-adjusted returns correlates with increased trading activity and churn, due plausibly to managing cybercrime exposure. In the cross-section of Ethereum addresses, we show that the most affluent victims take a systematic approach to restore their pre-cybercrime wealth level, while the least affluent victims turn into gamblers. Finally, a parsimonious forensic model explains a good part of the addresses’ probability of being involved in cybercrime, on both the victim and the cybercriminal side.