What distribution best characterizes the time series and cross-section of individual stock returns? To answer this question, we estimate the degree of cross-sectional return skewness relative to a benchmark that nests many models considered in the literature. We find that cross-sectional skewness in monthly returns far exceeds what this benchmark model predicts. However, cross-sectional skewness in long-run returns in the data is substantially below what the model predicts. We show that fat-tailed idiosyncratic events appear to be necessary to explain skewness in the data. (JEL, G10, G11, G12, G13, G14).

We show that the pattern of short-term negative serial covariances for stock returns over different return measurement intervals is consistent with the implications of inventory-based microstructure models. We develop different testable implications of these models and document supporting evidence. Our findings indicate that to a large extent the short-horizon return revearsals can be explained by dealer-inventory-related market microstructure effects. Journal of Economic Literature Classification Numbers: G14, G20.

The commitment value of financial contracts is limited by the ability of contracting parties to renegotiate them away, if it becomes mutually beneficial to do so. When debt contracts are used by oligopolistic firms to commit to aggressive output strategies as in Brander-Lewis, we show that renegotiation may undermine commitment under symmetric information, but not generally under asymmetric information. Lasting contracts that survive renegotiation are proposed. It is shown that there exist lasting debt contracts which preserve the commitment value and in which not all debt is renegotiated away.

We provide a model in which a single psychological constraint, limited attention, explains both under- and overreaction to different earnings components. Investor neglect of earn-ings induces post-earnings announcement drift and the profit anomaly. Neglect of earnings components causes accrual and cash flow anomalies. The model offers empirical implica-tions relating the strength of earnings-related anomalies to the forecasting power of current earnings-related information for future earnings, investor attentiveness, and the volatilities of and correlation between accruals and cash flows. We also show that, owing to atten-tion costs, in equilibrium not all investors choose to attend to earnings or its components. (JEL G12, G14, M41, M43) Market reactions to earnings and earnings components present a striking puzzle. Stock prices on average underreact to earnings surprises (post-earnings an-nouncement drift), but overreact to the operating accruals component of earn-ings.1 Earnings- and accruals-related patterns of return predictability are often referred to as “anomalies, ” “under- ” and “overreaction, ” or reflecting investor “optimism, ” “pessimism, ” or “naı̈veté. ” Such labels offer little guidance as to

Mr. Keynes and Mr. Marx S. S. Alexander S. S. Alexander Cambridge, Mass. Search for other works by this author on: Oxford Academic Google Scholar The Review of Economic Studies, Volume 7, Issue 2, February 1940, Pages 123–135, https://doi.org/10.2307/2967475 Published: 01 February 1940

I review empirical research on the relation between capital markets and financial statements. The principal sources of demand for capital markets research in accounting are fundamental analysis and valuation, tests of market efficiency, and the role of accounting numbers in contracts and the political process. The capital markets research topics of current interest to researchers include tests of market efficiency with respect to accounting information, fundamental analysis, and value relevance of financial reporting. Evidence from research on these topics is likely to be helpful in capital market investment decisions, accounting standard setting, and corporate financial disclosure decisions.

The paper analytically evaluates alternative specifications of price-earnings regressions when prices lead earnings, i.e., reflect information about future earnings that is not reflected in the past time series of earnings. Because prices lead earnings, the specification using the earnings-level-deflated-by-price variable in a price-earnings regression is ‘better’, in terms of bias in the estimated earnings response coefficient and explanatory power, than specifications using earnings-change-deflated-by-price and earnings-deflated-by-lagged-earnings variables. An accurate proxy for unexpected earnings, however, outperforms the earnings-level- and earnings-change-deflated-by-price specifications.

This research examines whether analysts' earnings forecasts incorporate information in price changes. Even if the forecasts do not explicitly depend upon price changes,there should nevertheless be a positive association between analysts' forecast revisions and prior price changes. Moreover, if analysts incorporate only their private information in formulating a forecast and ignore price changes, then the likelihood that their estimate is less than (greater than) the realization increases following price increases (decreases). Empirical results are consistent with these conjectures and indicate that analysts' forecasts do not fully reflect the information in prior price changes.