Knowledge that Transforms

We use a production-based asset pricing model to investigate whether financing constraints are quantitatively important for the cross-section of returns. Specifically, we use GMM to explore the stochastic Euler equation imposed on returns by optimal investment. Our methods can identify the impact of financial frictions on the stochastic discount factor with cyclical variations in cost of external funds. We find that financing frictions provide a common factor that improves the pricing of cross-sectional returns. Moreover, the shadow cost of external funds exhibits strong procyclical variation, so that financial frictions are more important in relatively good economic conditions.

An experimental approach is used to examine the performance of three different multiunit auction designs: discriminatory, uniform-price with fixed supply, and uniform-price with endogenous supply. We find the actual strategies to be inconsistent with theoretically identified equilibrium strategies. The discriminatory auction is found to be more susceptible to collusion than either uniform-price auction and so, contrary to theoretical predictions and previous experimental results, it generates the lowest average revenue. Consistent with theoretical predictions, the actual bid schedules are more elastic with reducible supply or discriminatory pricing than in the uniform-price auction with fixed supply.

In a financial market where traders are risk averse and short lived and prices are noisy, asset prices today depend on the average expectation today of tomorrow's price. Thus (iterating this relationship) the date 1 price equals the date 1 average expectation of the date 2 average expectation of the date 3 price. This will not, in general, equal the date 1 average expectation of the date 3 price. We show how this failure of the law of iterated expectations for average belief can help understand the role of higher-order beliefs in a fully rational asset pricing model.

This article develops a direct filtration-based maximum likelihood methodology for estimating the parameters and realizations of latent affine processes. Filtration is conducted in the transform space of characteristic functions, using a version of Bayes' rule for recursively updating the joint characteristic function of latent variables and the data conditional upon past data. An application to daily stock market returns over 1953-1996 reveals substantial divergences from estimates based on the Efficient Methods of Moments (EMM) methodology; in particular, more substantial and time-varying jump risk. The implications for pricing stock index options are examined.

We derive a closed-form solution for the optimal portfolio of a nonmyopic utility maximizer who has incomplete information about the alphas or abnormal returns of risky securities. We show that the hedging component induced by learning about the expected return can be a substantial part of the demand. Using our methodology, we perform an "ex ante" empirical exercise, which shows that the utility gains resulting from optimal allocation are substantial in general, especially for long horizons, and an "ex post" empirical exercise, which shows that analysts' recommendations are not very useful.

We analyze a financially distressed owner-managed project. The main results of the model are: (1) borrower default is an endogenous response to the anticipated restructuring-foreclosure outcome; (2) the lender's restructuring-foreclosure decision depends critically on the interaction between project value and industry liquidity; and (3) the lender waits for the industry to recapitalize before selling assets obtained through foreclosure. Empirical analysis of a large sample of defaulted commercial real estate loans supports many of the model predictions, including restructuring-foreclosure outcomes that are consistent with endogenous borrower default and firesale discounts that vary depending on industry market conditions at the time of foreclosure.

The proposition that investors are overconfident about their valuation and trading skills can explain high observed trading volume. With biased self-attribution, the level of investor overconfidence and thus trading volume varies with past returns. We test the trading volume predictions of formal overconfidence models and find that share turnover is positively related to lagged returns for many months. The relationship holds for both market-wide and individual security turnover, which we interpret as evidence of investor overconfidence and the disposition effect, respectively. Security volume is more responsive to market return shocks than to security return shocks, and both relationships are more pronounced in small-cap stocks and in earlier periods where individual investors hold a greater proportion of shares.

Stock returns are correlated with contemporaneous earnings growth, dividend growth, future real activity, and other cash-flow proxies. The correlation between cash-flow proxies and stock returns may arise from association of cash-flow proxies with one-period expected returns, cash-flow news, and/or expected-return news. We use Campbell's (1991) return decomposition to measure the relative importance of these three effects in regressions of returns on cash-flow proxies. In some of the popular specifications, variables that are motivated as proxies for cash-flow news also track a nontrivial proportion of one-period expected returns and expected-return news. As a result, the R2 from a regression of returns on cash-flow proxies may overstate or understate the importance of cash-flow news as a source of return variance.

We analyze the transmission effects of monetary policy in a general equilibrium model of the financial sector, with bank lending and securities markets. Bank lending is constrained by capital adequacy requirements, and asymmetric information adds a cost to outside bank equity capital. In our model, monetary policy does not affect bank lending through changes in bank liquidity; rather, it operates through changes in the spread of bank loans over corporate bonds, which induce changes in the aggregate composition of financing by firms, and in banks' equity-capital base. The model produces multiple equilibria, one of which displays all the features of a "credit crunch."

Investment banks imitate other bank's innovative corporate securities and compete with the innovator to underwrite new issues. This article uses data of all the corporate offerings of equity-linked and derivative securities in the Securities Data Company (SDC) to estimate the issuer's demand of underwriting services provided by investment banks across different varieties of securities. It finds that the demand for the innovator's variety is larger than the imitators'. This demand advantage decreases with time and faster for securities that appear later in a sequence of innovations. Imitation becomes less attractive later in the sequence as information from earlier deals spills-over to all banks.