In a seminal paper, Dechow, Sloan and Soliman (2004) develop a price-implied measure for equity duration and for its estimation they employ parsimonious but relatively crude procedures. Hence, these authors claim that improvements in procedures should lead to more accurate and useful estimates...

We examine how the patterns of inter-industry trade flows impact the transfer of information and economic shocks. We provide evidence that the intensity of transfers depends on industries' positions within the economy. In particular, some industries occupy central positions in the flow of trade,...

This paper examines the impact of expectations manipulation on the usefulness of analyst forecasts in the residual income valuation model. Recognizing that firms may guide down analyst forecast to either truthfully communicate information (legitimate guidance) or mislead analysts to produce...

The performance of analysts’ forecasts has attracted increasing attention in recent years. However, as yet, no empirical study has investigated the nexus between the analyst forecast dispersion (AFD) and excess returns surrounding stock market crashes in any depth. This paper attempts to fill...

We examine the predictive information content of the management forecasts of stock return volatility (i.e., expected volatility) that are disclosed in annual reports. We find that expected volatility predicts near-term and longer-term stock return volatility and earnings volatility incremental...

There is a logical bound on the time-series variability of analyst forecasts; when variability exceeds this bound it must be caused by something besides statistically rational forecasting. We document occurrences of excessively volatile analyst forecasts and show that they influence investment...

This paper reveals that in addition to fundamental factors, the 52-week high price and recent investor sentiment play an important role in analysts' target price formation. Analysts' forecasts of short-term earnings and long-term earnings growth are shown to be important explanatory variables...

We develop a measure of how information events impact investors' perceptions of risk that is broadly applicable and simple to implement. We derive this measure from an option-pricing model where investors anticipate an announcement that simultaneously conveys information on the announcer's...

This paper investigates the validity and usefulness of “hybrid” valuation models. We recast the model in Ohlson and Johannesson (2016) as a hybrid of the Dividend Discount Model and an earnings-based price multiple model, and develop a new hybrid model that generalizes the Residual Income...

In this study, we examine the predictability of firm-specific stock price crashes using modern machine learning techniques and develop a crash prediction model that utilizes both financial ratios and textual data from the Management Discussion and Analysis (MD&A) of 10-K files. We show that...