The Role of Soft Information in a Dynamic Contract Setting: Evidence from the Home Equity Credit Market

Credit underwriting is a dynamic process involving multiple interactions between borrower and lender. During this process, lenders have the opportunity to obtain hard and soft information from the borrower. We analyze more than 108,000 home equity loans and lines‐of‐credit applications to study the role of soft and hard information during underwriting. Our data set allows us to distinguish lender actions that are based strictly on hard information from decisions that involve the collection of soft information. Our analysis confirms the importance of soft information and suggests that its use can be effective in reducing overall portfolio credit losses ex post.     

Domestic airline alliances and consumer welfare

This article investigates the consumer welfare consequences of the recent code‐share agreement between Continental Airlines and Northwest Airlines. We develop a discrete choice model based on individual flight characteristics. This structural model recognizes that consumers (i) may have heterogeneous preferences for flight attributes, and (ii) may face different prices for the same flight. The empirical methodology also deals with the measurement error problem stemming from the absence of consumer‐level data on prices. The estimation results suggest that, whereas the code‐share agreement did not impact consumers significantly on average, it increased the average surplus of connecting passengers but decreased the average surplus of nonstop passengers. Interestingly, the magnitude of our welfare results may be attributed in large part to changes in product characteristics other than prices.     

Automobile replacement: a dynamic structural approach

This article specifies and estimates a structural dynamic model of consumer demand for new and used durable goods. Its primary contribution is to provide an explicit estimation procedure for transaction costs. Identification of transaction costs is achieved from the variation in the share of consumers choosing to hold a given car type each period, and from the share of consumers choosing to purchase the same car type that period. Specifically, I estimate a random‐coefficient discrete‐choice model that incorporates a dynamic optimal stopping problem. I apply this model to evaluate the impact of scrappage subsidies on the Italian automobile market.     

Subcontracting and competitive bidding on incomplete procurement contracts

This article examines the impact of incomplete contracts on subcontracting and the design of procurement auctions. I estimate the effect of ex post contract revisions on unit costs for both subcontracted and in‐house performed work items on bridge projects procured by the California Department of Transportation. I model a scoring auction showing how ex post revisions skew bidding decisions and estimate unit costs from bid data using the method of sieve estimation. The results highlight the cost implications of incomplete contracting frictions, subcontracting decisions, and bidding distortions. In conclusion, I propose alternative auction mechanisms that could improve outcomes.     

Durable goods and residential demand for energy and water: evidence from a field trial

This article describes a household production model in which energy‐efficient durable goods cost less to operate so households may use them more. The model is estimated using household‐level data from a field trial in which participants received high‐efficiency clothes washers free of charge. The estimation strategy exploits this quasi‐random replacement of washers to derive precise estimates of the household production technology and a demand function for clothes washing. During the field trial, households increased clothes washing on average by 5.6% after receiving a high‐efficiency washer, implying a price elasticity of ?.06. The complete model is used to evaluate the cost‐effectiveness of recent changes in minimum efficiency standards for clothes washers.     

Dynamic Competition,Valuation, and Merger Activity

We model the interactions between product market competition and investment valuation within a dynamic oligopoly. To our knowledge, the model is the first continuous‐time corporate finance model in a multiple firm setting with heterogeneous products. The model is tractable and amenable to estimation. We use it to relate current industry characteristics with firm value and financial decisions. Unlike most corporate finance models, it produces predictions regarding parameter magnitudes as well their signs. Estimates of the model's parameters indicate strong linkages between model‐implied and actual values. The paper uses the estimated parameters to predict rivals’ returns near merger announcements.     

MODELING THE TERM STRUCTURE FROM THE ON‐THE‐RUN TREASURY YIELD CURVE

We propose a new model to estimate the term structure of interest rates using observed on‐the‐run Treasury yields. The new model is an improvement over models that require a priori knowledge of the shape of the yield curve to estimate the term structure. The general form of the model is an exponential function that depends on the estimation of four parameters fit by nonlinear least squares and has straightforward interpretations. In comparing the proposed model with current yield‐curve‐smoothing models, we find that, for the data used, the proposed model does best overall in terms of pricing accuracy both in sample and out of sample. JEL classification: E43, G12     

The Aggregate and Distributional Effects of Financial Globalization: Evidence from Macro and Sectoral Data

We take a fresh look at the aggregate and distributional effects of policies to liberalize international capital flows—financial globalization. Both country‐ and industry‐level results suggest that such policies have led on average to limited output gains while contributing to significant increases in inequality. The country‐level results are based on 228 capital account liberalization episodes spanning 149 advanced and developing economies from 1970 to the present. Difference‐in‐difference estimation using industry‐level data for 23 advanced economies suggests that liberalization episodes reduce the share of labor income, particularly for industries with higher external financial dependence, higher natural propensity to use layoffs to adjust to idiosyncratic shocks, and higher elasticity of substitution between capital and labor.     

Testing Conditional Asset Pricing Models Using a Markov Chain Monte Carlo Approach

We use Markov Chain Monte Carlo (MCMC) methods for the parameter estimation and the testing of conditional asset pricing models. In contrast to traditional approaches, it is truly conditional because the assumption that time variation in betas is driven by a set of conditioning variables is not necessary. Moreover, the approach has exact finite sample properties and accounts for errors‐in‐variables. Using S&P 500 panel data, we analyse the empirical performance of the CAPM and the Fama and French (1993) three‐factor model. We find that time‐variation of betas in the CAPM and the time variation of the coefficients for the size factor (SMB) and the distress factor (HML) in the three‐factor model improve the empirical performance. Therefore, our findings are consistent with time variation of firm‐specific exposure to market risk, systematic credit risk and systematic size effects. However, a Bayesian model comparison trading off goodness of fit and model complexity indicates that the conditional CAPM performs best, followed by the conditional three‐factor model, the unconditional CAPM, and the unconditional three‐factor model.     

Product Market Competition,Managerial Incentives and Firm Valuation

This paper contributes to the very small empirical literature on the effects of competition on managerial incentive schemes. Based on a theoretical model that incorporates both strategic interaction between firms and a principal agent relationship, we analyse the relationship between product market competition, incentive schemes and firm valuation. The model predicts a nonlinear relationship between the intensity of product market competition and the strength of managerial incentives. We test the implications of our model empirically based on a unique and hand‐collected dataset comprising over 600 observations on 200 Swiss firms over the 2002–2005 period. Our results suggest that, consistent with the implications of our model, the relation between product market competition and managerial intensive schemes is convex indicating that above a certain level of intensity in product market competition, the marginal effect of competition on the strength of the incentive schemes increases in the level of competition. Moreover, competition is associated with lower firm values. These results are robust to accounting for a potential endogeneity of managerial incentives and firm value in a simultaneous equations framework.     

Capital regulation and bank risk‐taking – new global evidence

This study investigates the link between capital regulation and bank risk‐taking. Using a sample of over 1,800 banks in 135 countries, I find that the relationship between capital regulation and bank risk‐taking (measured by z‐score) is an inverse ‘U’ shape. That is, as capital ratios increase, a bank will take less risk initially, then more risk. These results are robust to numerous additional tests, including estimation methods. I also find that more stringent regulations mitigate the effect of higher capital on lowering bank risk‐taking. Increased capital requirements, even when risk‐based, induce risk‐taking at higher levels, irrespective of whether banks are well‐ or under‐capitalised.     

Buy‐out prices in auctions: seller competition and multi‐unit demands

Online auction sites often enable sellers to add a buy‐out price. In one‐shot auctions, this has been motivated by appeal to impatience or risk aversion. We offer additional justification in a dynamic model, by showing that an early seller has an incentive to use a buy‐out price, if a similar product is offered later by another seller, and bidders desire multiple objects. Revenue in the first auction increases, but revenue in the second auction decreases, as does the sum of revenues. The buy‐out price causes the auction sequence to become inefficient, because the first item may be awarded to a bidder who should have received none.     

Measuring aggregate productivity growth using plant‐level data

We define aggregate productivity growth (APG) as the change in aggregate final demand minus the change in the aggregate expenditures on labor and capital. We show how to aggregate plant‐level data to this quantity and how to decompose APG into technical efficiency and reallocation components. This requires us to confront the “non‐neoclassical” features that impact plant‐level data, including plant‐level heterogeneity, the entry and exit of goods, adjustment costs, fixed and sunk costs, and market power. The APG decomposition includes one term per plant related to technical efficiency and one term for each input at each plant that is a function of the value of marginal product ‐ input price gap and that relates the reallocation of inputs to growth. We compare APG to several competing variants of productivity growth that are based only on plant‐level technical efficiency. Two simple theoretical examples illustrate that technical‐efficiency reallocation can be negatively correlated with actual APG reallocation because technical efficiency is a production concept and need not have any relation with the APG reallocation gaps. We illustrate this point empirically using panel data from manufacturing industries in Chile, where we show technical‐efficiency reallocation differs substantially from measured reallocation based on our definition of APG.     

An empirical study of auction revenue rankings: the case of municipal bonds

Using a novel dataset of 386 first‐price municipal bond auctions held in California, I perform counterfactual revenue comparisons, based on the theoretical result of Milgrom and Weber (1982). I show that the revenue in the second‐price auction is nonparametrically identified, and the counterfactual revenue in the English auction can be bounded in an informative way. These results form a basis for nonparametric estimation of counterfactual revenue differences. I find that the revenue gain from using the English auction would be in the range of 11%—19% of the gross underwriting spread, and that most of it would already be captured by using the second‐price auction. The recent explosive growth of Internet English auctions, administered by Grant Street Group, provides external support to the claim that auction design matters in this market.     

APPLICABILITY OF THE FAMA‐FRENCH THREE‐FACTOR MODEL IN FORECASTING PORTFOLIO RETURNS

For the model‐based estimation of the equity cost of capital, evidence shows that the common practice of using the average historical factor premiums as the estimates of the next‐period factor premiums generates inaccurate estimates. I propose an alternative way to estimate factor premiums by using the structural variables that are important predictors of future asset returns. Based on the out‐of‐sample results from a trading strategy with four in‐sample model‐selection criteria, I find that my estimation procedure performs better than the common practice even when transaction costs are considered.     

Analysing the market–book value relation in large Australian and US firms: implications for fundamental analysis and the market–book ratio

This study compares the market–book relation of Australian and US firms using firm‐level dynamic analysis of using annual data for a long‐run period in error correction modelling. This paper contributes to a recent call for alternative ways of estimating Ohlson‐type linear valuation models (Ohlson and Kim, 2015). Log transformations of the data are used in this study to improve the statistical properties of the models. This study contributes to the findings on linear valuation model estimation for long‐run firms. Based on the returns model estimation, we find evidence of a higher level of co‐integration between market and book values for Australian firms.     

Mitigating Estimation Risk in Asset Allocation: Diagonal Models Versus 1/N Diversification

Recent literature suggests that optimal asset‐allocation models struggle to consistently outperform the 1/N naïve diversification strategy, which highlights estimation‐risk concerns. We propose a dichotomous classification of asset‐allocation models based on which elements of the inverse covariance matrix that a model uses: diagonal only versus full matrix. We argue that parsimonious diagonal‐only strategies, which use limited information such as volatility or idiosyncratic volatility, are likely to offer a good tradeoff between incorporating limited information while mitigating estimation risk. Evaluating five sets of portfolios over 1926–2012, we find that 1/N is generally not optimal when compared with these diagonal strategies.     

Using Forecasting Criteria to Identify Value Relevance in the Relationship Between Accounting Numbers and Market Value

We explain and demonstrate a disciplined and systematic approach to repeatable modelling using forecast criteria, in addition to the usual statistical estimation criteria, to identify value relevance in regressions of the market‐accounting relation. The method was used in Cooke et al. ( 2009 ). It is illustrated here in the case of a single firm over a 59‐year period. Market and accounting data for the U.S. firm Abbott Laboratories Inc. from 1955 are modelled using a testing‐down, error correction approach. Hold‐out samples of 10 to 15 years are used to assess forecasting performance relative to a random walk. Emphasis is placed upon the use of simple, directly observable and theory‐independent model variables that can be replicated with other sample data. In this case, logarithmic transformations of all variables have to be computed in order to achieve correct statistical specification, implying a multiplicative relationship in the raw data. The strongest cointegrating accounting variable with forecasting ability for Abbott's market value is earnings. The model parameters exhibit long‐run stability and the accounting regressor marginally improves forecasts of market value compared to a random walk, demonstrating ‘value relevance’.     

Signalling and entry deterrence: a multidimensional analysis

I consider whether a privately informed incumbent can use limit pricing and upward distortions in advertising to deter profitable entry. Profitable entry is not deterred when the incumbent is privately informed only about its cost type. Profitable entry may be deterred, however, if the incumbent is privately informed about its cost type and its patience level. An equilibrium foundation is thus provided for the traditional hypothesis that limit pricing and aggressive advertising by an incumbent may deter profitable entry. At a methodological level, the article contributes by characterizing the refined equilibria of a signalling model with multiple dimensions of private information and multiple signals.