Following the Global Settlement, analysts extensively use a top pick designation to highlight their highest conviction best ideas. Such a designation enables analysts to provide greater granularity of information, but it can potentially be influenced by conflicts of interest. Examining a...

When households consume both nondurable goods and housing services, external habit preference over nondurable consumption generates procyclical demand for housing. Marginal utility falls when housing demand rises and innovations to housing demand arise as a risk factor. Motivated by theory, we...

We investigate the impact on firms of joining the S&P 500 index from 1997 to 2017. We find that the positive announcement effect on the stock price of index inclusion has disappeared and the long-run impact of index inclusion has become negative. Inclusion worsens stock price informativeness and...

A dynamic model featuring a stochastic technology frontier shows significant impact of technology adoption for asset prices. In equilibrium, firms operating with old capital are riskier because costly technology adoption restricts their flexibilities in upgrading to the latest technology, making...

This paper provides evidence that the 52-week high serves as a psychological barrier, inducing expectational errors and underreaction to news. Two clear predictions emerge and are confirmed in the data. First, nearness to a 52-week high induces expectational errors; evidence from earnings...

This paper documents a persistent structure in cryptocurrency returns and analyzes a broad set of characteristics that explain this structure. The results show that similarities in size, trading volume, age, consensus mechanism, and token industries drive the structure of cryptocurrency returns....

We document a strong positive cross-sectional relation between corporate bond yield spreads and bond return volatilities. As corporate bond prices are generally attributable to both credit risk and illiquidity as discussed in Huang and Huang (2012), we apply a decomposition methodology to...

Quantitative research analysts (Quants) produce in-depth quantitative and econometric modeling of market anomalies to assist sell-side analysts and institutional clients with stock selection strategies. Quants are associated with more efficient analyst forecasting behavior on anomaly predictors...

Using hundreds of significant anomalies as testing portfolios, this paper compares the performance of major empirical asset pricing models. The q-factor model and a closely related five-factor model are the two best performing models among a long array of models. The q-factor model outperforms...