This study investigates whether firm opacity impacts the investment behaviors and outcomes of retail investors using the fintech brokerage Robinhood (i.e., “RH investors”). We theorize that higher firm opacity leads RH investors to make nonrational investment decisions. The testable...

When Capital Asset pricing Model (CAPM) is considered as valid asset pricing theory, Security Market Line (SML) is supposed to give ex-ante returns for the single period investment horizon. Since the required returns should be same as the cost of equity (discount rates) in efficient markets, SML...

The existing replication policies at top finance journals are far weaker than the policies at top economics journals. This paper explores both the costs and benefits of having a stronger replication policy in the context of my failed 2010 initiative to develop a unified policy across all top...

Does an investment’s fully integrated prospective Financial Statements leave researchers and practitioners no longer subjectively weighing various valuation methods, thus only analyzing investment assumptions? An investment’s current prospective Financial Statements are never fully...

We provide insights into the inputs and valuation models used by valuation specialists. We survey 172 valuation specialists and conduct several follow-up interviews covering various topics, including the valuation inputs, models, and industry information that they use, as well as how they...

This study examines the association between chief executive officer (CEO) overconfidence and future stock price crash risk. Overconfident managers overestimate the returns to their investment projects and misperceive negative net present value (NPV) projects as value creating. They also tend to...

This paper discusses the benefits and drawbacks of adopting Bayesian inference for practical equity valuation and fundamental analysis and derives a decision-focused valuation model for investors. Despite the inevitably subjectivist (i.e. Bayesian) nature of equity valuation, almost all research...

This paper uses accounting-based reverse engineering of market expectations to identify potentially mispriced stocks. Building upon the “errors-in-expectations” hypothesis, we develop a theoretically funded yet practical tool for stock screening in this paper. We use the Ohlson (1995) model...

This paper reviews literature on reverse engineering in equity valuation from the perspective of a fundamental investor. Despite a history of over 80 years, the literature on reverse engineering shows no clear consensus on the modelling, conceptualisation and operationalisation of the technique....

This paper reviews research that uses big data and/or machine learning methods to provide insight relevant for equity valuation. Given the huge volume of research in this area, the review focuses on studies that either use or inform on accounting variables. The article concludes by providing...