Endogenous market segmentation for lemons

Information asymmetry between sellers and buyers often prevents socially desirable trade. This article presents a new mechanism that mitigates the inefficiencies caused by information asymmetry. I consider decentralized markets under adverse selection and show that such markets can be endogenously segmented in a way that improves social welfare. Endogenous segmentation is driven by low‐quality sellers’ incentive to attract more buyers by separating from high‐quality sellers. The mechanism helps us understand the roles of several real‐world institutions, such as multiple marketplaces, costless advertisements, and nonbinding list prices.     

Financial Markets,the Real Economy,and Self‐Fulfilling Uncertainties

We develop a model of informational interdependence between financial markets and the real economy, linking economic uncertainty to information production and aggregate economic activities in general equilibrium. The mutual learning between financial markets and the real economy creates a strategic complementarity in their information production, leading to self‐fulfilling surges in economic uncertainties. In a dynamic setting, our model characterizes self‐fulfilling uncertainty traps with two steady‐state equilibria and a two‐stage economic crisis in transitional dynamics.     

Real Options Models of the Firm,Capacity Overhang,and the Cross Section of Stock Returns

We use a stochastic frontier model to obtain a stock‐level estimate of the difference between a firm's installed production capacity and its optimal capacity. We show that this “capacity overhang” estimate relates significantly negatively to the cross section of stock returns, even when controlling for popular pricing factors. The negative relation persists among small and large stocks, stocks with more or less reversible investments, and in good and bad economic states. Capacity overhang helps explain momentum and profitability anomalies, but not value and investment anomalies. Our evidence supports real options models of the firm featuring valuable divestment options.     

Should Derivatives Be Privileged in Bankruptcy?

Derivatives enjoy special status in bankruptcy: they are exempt from the automatic stay and effectively senior to virtually all other claims. We propose a corporate finance model to assess the effect of these exemptions on a firm's cost of borrowing and incentives to engage in derivative transactions. While derivatives are value‐enhancing risk management tools, seniority for derivatives can lead to inefficiencies: it transfers credit risk to debtholders, even though this risk is borne more efficiently in the derivative market. Seniority for derivatives is efficient only if it provides sufficient cross‐netting benefits to derivative counterparties that provide hedging services.     

Real‐Time Forecasting and Political Stock Market Anomalies: Evidence for the United States

Using monthly data from 1953 to 2003, we apply a real‐time modeling approach to investigate the implications of U.S. political stock market anomalies for forecasting excess stock returns in real‐time. Our empirical findings show that political variables, chosen on the basis of widely used model‐selection criteria, are often included in real‐time forecasting models. However, political variables do not contribute systematically to improving the performance of simple trading rules. For this reason, political stock market anomalies are not necessarily an indication of market inefficiency.     

Marking‐to‐Market: Panacea or Pandora's Box?

Financial institutions have been at the forefront of the debate on the controversial shift in international standards from historical cost accounting to mark‐to‐market accounting. We show that the trade‐offs at stake in this debate are far from one‐sided. While the historical cost regime leads to some inefficiencies, marking‐to‐market may lead to other types of inefficiencies by injecting artificial risk that degrades the information value of prices, and induces suboptimal real decisions. We construct a framework that can weigh the pros and cons. We find that the damage done by marking‐to‐market is greatest when claims are (1) long–lived, (2) illiquid, and (3) senior. These are precisely the attributes of the key balance sheet items of banks and insurance companies. Our results therefore shed light on why banks and insurance companies have been the most vocal opponents of the shift to marking‐to‐market.     

The Extreme Future Stock Returns Following I/B/E/S Earnings Surprises

We investigate the stock returns subsequent to quarterly earnings surprises, where the benchmark for an earnings surprise is the consensus analyst forecast. By defining the surprise relative to an analyst forecast rather than a time‐series model of expected earnings, we document returns subsequent to earnings announcements that are much larger, persist for much longer, and are more heavily concentrated in the long portion of the hedge portfolio than shown in previous studies. We show that our results hold after controlling for risk and previously documented anomalies, and are positive for every quarter between 1988 and 2000. Finally, we explore the financial results and information environment of firms with extreme earnings surprises and find that they tend to be “neglected” stocks with relatively high book‐to‐market ratios, low analyst coverage, and high analyst forecast dispersion. In the three subsequent years, firms with extreme positive earnings surprises tend to have persistent earnings surprises in the same direction, strong growth in cash flows and earnings, and large increases in analyst coverage, relative to firms with extreme negative earnings surprises. We also show that the returns to the earnings surprise strategy are highest in the quartile of firms where transaction costs are highest and institutional investor interest is lowest, consistent with the idea that market inefficiencies are more prevalent when frictions make it difficult for large, sophisticated investors to exploit the inefficiencies.     

The Importance of Industry Links in Merger Waves

We represent the economy as a network of industries connected through customer and supplier trade flows. Using this network topology, we find that stronger product market connections lead to a greater incidence of cross‐industry mergers. Furthermore, mergers propagate in waves across the network through customer‐supplier links. Merger activity transmits to close industries quickly and to distant industries with a delay. Finally, economy‐wide merger waves are driven by merger activity in industries that are centrally located in the product market network. Overall, we show that the network of real economic transactions helps to explain the formation and propagation of merger waves.     

Markets,torts, and social inefficiency

We provide a model wherein oligopolists produce differentiated products that also have a safety attribute. Consumption of these products may lead to harm (to consumers and/or third parties), lawsuits, and compensation, either via settlement or trial. Firm‐level costs reflect both safety investment and production activities, as well as liability‐related costs. Compensation is incomplete, both because of inefficiencies in the bargaining process and (possibly) because of statutorily established limits on awards. We compare the market equilibrium safety effort and output levels to what a planner who is able to set safety standards, but takes the market equilibrium output as given, would choose.     

Country Size,Currency Unions,and International Asset Returns

Differences in real interest rates across developed economies are puzzlingly large and persistent. I propose a simple explanation: bonds issued in the currencies of larger economies are expensive because they insure against shocks that affect a larger fraction of the world economy. I show that, indeed, differences in the size of economies explain a large fraction of the cross‐sectional variation in currency returns. The data also support additional implications of the model: the introduction of a currency union lowers interest rates in participating countries, and stocks in the nontraded sector of larger economies pay lower expected returns.     

Does the monitoring role of buyout houses improve discretionary accruals quality?

Using a sample of reverse leveraged buyout (‘reverse‐LBO’) firms, I find that discretionary accruals quality (AQ), the quality of accruals that are subject to management discretion, significantly improves from pre‐LBO to post‐reverse LBO. Moreover, buyout houses’ board seats and the length of firms’ stay‐in‐private periods are significant explanatory variables for the cross‐sectional variation in discretionary AQ for post‐reverse‐LBO firms. My findings suggest that the monitoring provided by private equity buyout houses improves discretionary AQ, consistent with the view of Jensen (1989a,b) that LBOs are a solution to inefficiencies that arise from agency problems.     

Lumpy Investment and Corporate Tax Policy

In the presence of both convex and nonconvex capital adjustment costs in a dynamic general equilibrium model, corporate tax policy generates both intensive and extensive margin effects via the channel of marginal Q. Its impact is determined largely by the strength of the extensive margin effect, which, in turn, depends on the cross‐sectional distribution of firms. Depending on the initial distribution of firms, the economy displays asymmetric responses to tax changes. Moreover, an anticipated increase in the future investment tax credit reduces investment and adjustment rate initially.     

Mixed strategies in discriminatory divisible‐good auctions

We introduce the concept of an offer distribution function to analyze randomized offer curves in multiunit procurement auctions. We characterize mixed‐strategy Nash equilibria for pay‐as‐bid auctions where demand is uncertain and costs are common knowledge, a setting for which pure‐strategy supply function equilibria typically do not exist. We generalize previous results on mixtures over horizontal offers as in Bertrand‐Edgeworth games and also characterize novel mixtures over partly increasing supply functions. We show that the randomization can cause considerable production inefficiencies.     

The Business Cycle,Investor Sentiment,and Costly External Finance

The recent financial crisis shows that financial markets can impact the real economy. We investigate whether access to finance typically time‐varies and, if so, what are the real effects. Consistent with time‐varying external finance costs, both investment and employment are less sensitive to Tobin's q and more sensitive to cash flow during recessions and low investor sentiment periods. Share issuance plays a bigger role than debt issuance in causing these effects. Alternative tests that do not rely on q and cash flow sensitivities suggest that recessions and low sentiment increase external finance costs, thereby limiting investment and employment.     

Capital Inflows and the U.S. Housing Boom

We estimate an open‐economy vector autoregressive (VAR) model to study the effect of capital‐inflow shocks on the U.S. housing market. We look at different external shocks that generate capital inflows to the U.S., in particular “saving‐glut” shocks and foreign monetary‐policy expansions. The shocks are identified with theoretically robust sign restrictions derived from an open‐economy dynamic stochastic general equilibrium (DSGE) model. Our findings suggest that capital inflows that result from “saving‐glut” shocks have a positive and persistent effect on real house prices and real residential investment.     

Prediction of Operating Cash Flows: Further Evidence from Australia

This paper examines empirically the relative abilities of current operating cash flows (hereafter OCF) and earnings in predicting future operating cash flows in Australia. It extends prior Australian research on cash flow prediction ( Percy and Stokes 1992 ; Clinch, Sidhu and Sing 2002 ; Farshadfar, Ng and Brimble 2009 ) by examining future cash flow predictions for one‐, two‐ and three‐year‐ahead forecast horizons; incorporating additional contextual variables likely to affect the predictive association between current cash flows or earnings and future cash flows; and comparing cross‐sectional versus time series‐based prediction models to ascertain the relative superiority of one approach over the other. Regression results reveal that the cash flow‐based models are more accurate in predicting future operating cash flows than earnings‐based models. This result, however, is moderated by firm‐specific contextual factors like firm size, negative versus positive cash flow pattern, cash flow variability and firm operating cycle. Finally, a comparison between cross‐sectional and time series approaches reveals that the cross‐sectional model outperforms the time series model for both the operating cash flows and earnings models in most of the forecast years.     

Correlated implied volatility with jump and cross section of stock returns

I derive the option‐implied volatility allowing for nonzero correlation between price jump and diffusive risk to examine the information content of implied diffusive, jump risks and their implied covariance in the cross‐sectional variation of future returns. This study documents a strong predictive power of realized volatility and correlated implied volatility spread (RV ? IV_C) in the cross section of stock returns. The difference of realized volatility with the implied diffusive volatility (RV ? σ_C), jump risk (RV ? γ_C) and covariance (RV ? ICov) can forecast future returns. These RV ? σ_C and RV ? γ_C anomalies are robustly persistent even after controlling for market, size, book‐to‐market value, momentum and liquidity factors.     

Monetary Shocks in a Model with Skill Loss

Unemployment shows persistent and long‐lasting responses to nominal and real shocks. Standard real business cycle models with search frictions but a homogeneous labor force are able to generate some volatility and persistence, but not enough to match the empirical evidence. Moreover, empirical studies emphasize the importance of the heterogeneity of the unemployment pool to fully understand unemployment dynamics. In particular, in most European countries the incidence of long‐term unemployment is large and well known. One of the possible causes/consequences of long‐term unemployment is the skill deterioration of the unemployment pool. In this paper, we introduce the skill loss mechanism, and therefore a heterogeneous labor force, in a New Keynesian framework with search frictions. Calibrating the model for the Spanish economy, we show that while the skill loss mechanism helps to explain the magnitude of the response of unemployment to monetary shocks, it does not improve the performance of the homogeneous worker model in terms of the persistence of the response, especially for short‐ and long‐term unemployment.     

Stock return volatility,operating performance and stock returns: International evidence on drivers of the ‘low volatility’ anomaly

This study highlights the link between stock return volatility, operating performance, and stock returns. Prior studies suggest that there is a ‘low volatility’ anomaly, where firms with a low stock return volatility out-perform firms with a high stock return volatility. This paper confirms that low volatility stocks earn higher returns than high volatility stocks in emerging markets and developed markets outside of North America. We also show that low volatility stocks have higher operating returns and this might explain why low volatility stocks earn higher stock returns. These results provide a partial explanation for the ‘low volatility effect’ that is independent from the existence of market anomalies or per se inefficiencies that might otherwise drive a low volatility effect. We emphasize the importance of controlling for stock return volatility when analyzing operating performance and stock performance.     

A Dynamic Model of Characteristic‐Based Return Predictability

We present a dynamic model that links characteristic‐based return predictability to systematic factors that determine the evolution of firm fundamentals. In the model, an economy‐wide disruption process reallocates profits from existing businesses to new projects and thus generates a source of systematic risk for portfolios of firms sorted on value, profitability, and asset growth. If investors are overconfident about their ability to evaluate the disruption climate, these characteristic‐sorted portfolios exhibit persistent mispricing. The model generates predictions about the conditional predictability of characteristic‐sorted portfolio returns and illustrates how return persistence increases the likelihood of observing characteristic‐based anomalies.