Knowledge that Transforms

Information advantage and entry deterrence incentives are investigated as they affect lending outcomes and competitive structure of the U.S. residential mortgage market. In the model, when assessing a loan applicant, the incumbent monopoly lender employs a proprietary screening technology to produce a privately observed estimate of loan credit quality. When faced with potential competitive entry, the incumbent signals poor credit quality by charging high prices to higher-quality borrowers. Market structure and loan pricing strategy are derived endogenously, where the incumbent deters entry first by segmenting consumers into prime and sub-prime loan markets and second by charging prime market borrowers a uniform rate that is higher than the risk-based monopoly rate. Empirical implications of the model are identified, and evidence is presented that is consistent with predictions.

We explain and provide evidence for effects of leverage on pricing. Our model identifies two effects that either counteract or reinforce each other, depending on the debt maturity structure: (i) firms set higher prices (underinvest in market share) if they have more debt, and (ii) firms engage in dynamic risk-shifting by setting lower (higher) prices if the current debt obligation will be higher (lower) in the next period than in the present period. Using a unique dataset of owner-managed hotels in Austrian ski resorts, we provide empirical evidence of both effects. The Author 2008. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: [email protected]., Oxford University Press.

We analyze event abnormal returns when returns predict events. In fixed samples, we show that the expected abnormal return is negative and becomes more negative as the holding period increases. Asymptotically, abnormal returns converge to zero provided that the process of the number of events is stationary. Nonstationarity in the process of the number of events is needed to generate a large negative bias. We present theory and simulations for the specific case of a lognormal model to characterize the magnitude of the small-sample bias. We illustrate the theory by analyzing long-term returns after initial public offerings (IPOs) and seasoned equity offerings (SEOs). The Author 2008. Published by Oxford University Press on behalf of the Society for Financial Studies. All rights reserved. For permissions, please e-mail: [email protected]., Oxford University Press.

Twenty countries around the world have used $27 billion in incentives such as bonus shares and discounts to attract retail investors to participate in privatizations and to discourage them from flipping their shares. Our results show that incentives have performed well, increasing retail investor participation much more cost effectively than underpricing. Flipping is not only much reduced in the short term but remains cumulatively at least 15% lower after 1000 trading days. The expiration of bonus share plans is associated with a 6-day abnormal return of –1.0% and a long-term increase in trading volume.

We develop a strategy for utilizing higher moments, variance risk premia, and conditioning information efficiently, and hence improve on the variance bounds computed by Hansen and Jagannathan (1991); Gallant, Hansen, and Tauchen (1990); and Bekaert and Liu (2004). Our bounds reach existing bounds when nonlinearities in returns are not priced. We also use higher moments, variance risk premia, and conditioning information to provide distance measures that improve on the Hansen and Jagannathan (1997) distance measure. Empirical results indicate that when accounting for the impact of higher moments and variance risk premia, the existing pricing kernels have difficulty in explaining returns on the assets and derivatives. The Author 2007. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: [email protected], Oxford University Press.

On August 12–13, 2005, the department of finance at the Kelley School of Business, Indiana University, collaborated with the Review of Financial Studies to host a conference titled “The Causes and Consequences of Recent Financial Market Bubbles.” This article begins with our overview of the themes and findings of the conference, and it ends with the questions that the literature has yet to answer.

This paper proposes a new family of specification tests and applies them to affine term structure models of the London Interbank Offered Rate (LIBOR)-swap curve. Contrary to Dai and Singleton (2000), the tests show that when standard estimation techniques are used, affine models do a poor job of forecasting volatility at the short end of the term structure. Improving the volatility forecast does not require different models; rather, it requires a different estimation technique. The paper distinguishes between two econometric procedures for identifying volatility. The 'cross-sectional' approach backs out volatility from a cross section of bond yields, and the 'time-series' approach imputes volatility from time-series variation in yields. For an affine model, the volatility implied by the time-series procedure passes the specification tests, while the cross-sectionally identified volatility does not. This is surprising, since under correct specification, the 'cross-sectional' approach is maximum likelihood. One explanation is that affine models are slightly misspecified; another is that bond yields do not span volatility, as in Collin-Dufresne and Goldstein (2002). , Oxford University Press.

This paper introduces a consumption-based capital asset pricing model (CCAPM) that combines undiversifiable income shocks and external habit formation. Using US state-level data, the paper provides realistic estimates for preference parameters when the external habit of the state investors is based on the consumption of the four Census regions. The model also implies four asset pricing factors: the cross-sectional means of consumption growth and habit growth (capturing national systematic risk) and the cross-sectional variances of consumption growth and habit growth (capturing regional systematic risk). This four-factor model has greater power in explaining expected returns than the CCAPM described in Breeden (1979). , Oxford University Press.

We posit that screening IPOs requires specialized labor which is in fixed supply. A sudden increase in demand for IPO financing increases the compensation of IPO screening labor. This results in reduced screening, encouraging sub-marginal firms to enter the IPO market, further fueling the demand for screening labor. The model's conclusions are consistent with empirical findings of increased underpricing during hot markets, positive correlation between issue volume and underpricing, and with tipping points between hot and cold markets. Finally, the model makes sharp predictions relating the IPO market to fundamental values of firms and to investment banking returns.

This article investigates the effects of mortgage-backed security (MBS) hedging activity on interest rate volatility and proposes a model that takes these effects into account. An empirical examination suggests that the inclusion of information about MBSs considerably improves model performance in pricing interest rate options and in forecasting future interest rate volatility. The empirical results are consistent with the hypothesis that MBS hedging affects the interest rate volatility implied by both options and the actual interest rate volatility. The results also indicate that the inclusion of information about the MBS universe may result in models that better describe the price of fixed-income securities. The Author 2007. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: [email protected], Oxford University Press.