Valuing Loss Firms: What Can Be Learned From Analysts' Forecasts?

Prior research documents an anomalous negative price–earnings relation when a simple earnings capitalization model is estimated for loss‐making firms. Collins et al. (1999 ) suggest that the model is misspecified due to the omission of book value of equity. However, results from previous studies are confusing. We try to enrich prior literature by focusing on analysts' forecasts. In particular, we assess the role of earnings and book value in valuing loss firms using several measures based on the information provided by analysts. We hypothesize that the role of accounting figures depends on whether the loss firm is supported or not by investors. According to this argument, we construct several measures of investor support based on analysts' forecasts, and then test the value relevance of accounting information depending on the degree of support. Our results confirm the usefulness of the notion of ‘investor support’. For those loss firms that are expected to liquidate, we find that the inclusion of book value of equity in the model removes the negative sign on the earnings coefficient. However, for those loss firms that are expected to reverse current losses, we find that the coefficient on earnings remains negative despite the inclusion of book value.     

Fiscal Data Revisions in Europe

Revisions of budget balances in Europe could be particularly worrisome as adherence to multilateral surveillance rules is judged upon initial data releases. We use a pool of real‐time vintages of data for 15 EU countries over the period 1995–2008. Our main findings are: (i) preliminary releases are biased and nonefficient predictors of subsequent releases, (ii) such systematic bias in revisions is a general feature of the sample, (iii) Eurostat's decisions explain a significant share of the bias and provide some evidence of window dressing practices, and (iv) expected real gross domestic product growth, political cycles, and the strength of fiscal rules also contribute to explain revision patterns.     

Comparing Asset Pricing Models

A Bayesian asset pricing test is derived that is easily computed in closed form from the standard F‐statistic. Given a set of candidate traded factors, we develop a related test procedure that permits the computation of model probabilities for the collection of all possible pricing models that are based on subsets of the given factors. We find that the recent models of Hou, Xue, and Zhang (2015a, 2015b) and Fama and French (2015, 2016) are dominated by a variety of models that include a momentum factor, along with value and profitability factors that are updated monthly.     

Trade Credit,the Financial Crisis,and SME Access to Finance

Mounting evidence indicates that firms, particularly SMEs, suffered from a significant credit crunch during this crisis. We analyze for the first time whether trade credit provided an alternative source of external finance to SMEs during the crisis. Using firm‐level Spanish data we find that credit constrained SMEs depend on trade credit, but not bank loans, and that the intensity of this dependence increased during the financial crisis. Unconstrained firms, in contrast, are dependent on bank loans but not on trade credit.     

MEASURING POVERTY USING BOTH INCOME AND WEALTH: A CROSS‐COUNTRY COMPARISON BETWEEN THE U.S. AND SPAIN

We study the correspondence between a household's income and its vulnerability to income shocks in two developed countries: the U.S. and Spain. Vulnerability is measured by the availability of wealth to smooth consumption in a multidimensional approach to poverty, which allows us to identify three groups of households: the twice‐poor group, which includes income‐poor households who lack an adequate stock of wealth; the group of protected‐poor households, which are all those income‐poor families with a buffer stock of wealth they can rely on; and the vulnerable‐non‐poor group, including households above the income‐poverty line that do not hold any stock of wealth. Interestingly, the risk of belonging to these groups changes over the life‐cycle in both countries while the size of the groups differs significantly between Spain and the U.S., although this result is quite sensitive to whether the housing wealth component is included in the wealth measure or not.     

Marketwide Private Information in Stocks: Forecasting Currency Returns

We present a model of equity trading with informed and uninformed investors where informed investors trade on firm‐specific and marketwide private information. The model is used to identify the component of order flow due to marketwide private information. Estimated trades driven by marketwide private information display little or no correlation with the first principal component in order flow. Indeed, we find that co‐movement in order flow captures variation mostly in liquidity trades. Marketwide private information obtained from equity market data forecasts industry stock returns, and also currency returns.     

THE MEASUREMENT OF INEQUALITY OF OPPORTUNITY: THEORY AND AN APPLICATION TO LATIN AMERICA

Building on the existing literature, this paper constructs a simple scalar measure of inequality of opportunity and applies it to six Latin American countries. The measure—which captures between‐group inequality when groups are defined exclusively on the basis of predetermined circumstances—is shown to yield a lower‐bound estimate of true inequality of opportunity. Absolute and relative versions of the index are defined, and alternative parametric and non‐parametric methods are employed to generate robust estimates. In the application to Latin America, we find inequality of opportunity shares ranging from one quarter to one half of total consumption inequality. An opportunity‐deprivation profile that identifies the worst‐off types in each society is also formally defined, and described for the same six countries. In three of them, 100 percent of the opportunity‐deprived were found to be indigenous or Afro‐descendants.     

The Dynamic (In)Efficiency of Monetary Policy by Committee

This paper develops a model where the value of the monetary policy instrument is selected by a heterogenous committee engaged in a dynamic voting game. Committee members differ in their institutional power, and in certain states of nature, they also differ in their preferred instrument value. Preference heterogeneity and concern for the future interact to generate decisions that are dynamically inefficient and inertial around the previously agreed instrument value. This model endogenously generates autocorrelation in the policy variable and helps explain the empirical observation that the distribution of actual interest rate changes has a mode of zero.