Catering effects in corporate dividend policy: The international evidence

This study tests for the international presence of dividend catering across a sample of twenty-three countries. We find evidence of catering among firms incorporated in common law countries but not for those in civil law nations. Catering persists even after controlling for the effect of the firm’s lifecycle. We conclude that when the legal regime and its accompanying set of investor protections permit, investors force dividends from managers, but they also attempt to extract such payouts indirectly by placing a high value on dividend paying firms. The relative failure of civil law firms to cater might be explained by idiosyncratic behaviors in the consumption of the private benefits of control or a lack of interest in responding to temporary market misevaluations of their equity.     

Does stardom affect the informativeness of a CEO's insider trades?

This study examines whether the celebrity or star status of a chief executive officer (CEO) affects the informativeness of his insider trades. Using three different measures to identify star CEOs in a sample of S&P 1500 firms, we find that trades of non‐star CEOs predict future abnormal returns and earnings innovations and that trades of star CEOs do not. The predictive power of non‐star CEO trades is mostly attributable to opportunistic trades, not routine trades. We also find evidence suggesting that the abnormal returns associated with non‐star CEO insider trades are due to the lower visibility and consequently less scrutiny of non‐star CEOs compared with star CEOs.     

Pricing Interest Rate Derivatives: A General Approach

The relationship between affine stochastic processes and bondpricing equations in exponential term structure models has beenwell established. We connect this result to the pricing of interestrate derivatives. If the term structure model is exponentialaffine, then there is a linkage between the bond pricing solutionand the prices of many widely traded interest rate derivativesecurities. Our results apply to m-factor processes with n diffusionsand l jump processes. The pricing solutions require at mosta single numerical integral, making the model easy to implement.We discuss many options that yield solutions using the methodsof the article.     

Identifiability of the misspecified split hazard models

Unlike standard models, a split population hazard model allows the exit probability to be less than one. Although conceptually attractive, split models are prone to identification problems. In the reduced form estimation of the hazard function, the influence of split may not be distinguishable from that of neglected heterogeneity. For illustration, I use Monte Carlo simulations to highlight the problem of interpreting the structural parameters of the split Weibull and the Weibull-gamma models.     

Accounting-based versus market-based cross-sectional models of CDS spreads

Models of financial distress rely primarily on accounting-based information (e.g. [Altman, E., 1968. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance 23, 589–609; Ohlson, J., 1980. Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research 19, 109–131]) or market-based information (e.g. [Merton, R.C., 1974. On the pricing of corporate debt: The risk structure of interest rates. Journal of Finance 29, 449–470]). In this paper, we provide evidence on the relative performance of these two classes of models. Using a sample of 2860 quarterly CDS spreads we find that a model of distress using accounting metrics performs comparably to market-based structural models of default. Moreover, a model using both sources of information performs better than either of the two models. Overall, our results suggest that both sources of information (accounting- and market-based) are complementary in pricing distress.     

Rent-to-own agreements: Customer characteristics and contract outcomes

The rent-to-own (RTO) industry, by offering immediate access to household goods for a small periodic fee with no credit check or down payment, has strong appeal to low income and financially distressed consumers. An important policy question is whether an RTO agreement is used as a rental/lease with build-in purchase option or as something more akin to an installment loan. Given the embedded options to return the item or to purchase it early, the actual rent paid by RTO customers is substantially lower than the oft-reported total rent which assumes that agreements go to term. We employ a log-normal censored regression model to analyze the influence of customer demographics as well as the transactional details of the contract on the rent paid by consumers using rent-to-own. Our main conclusions are (1) it is the “working poor” that are likely to pay more rent, (2) there appears to be a clientele effect with customers paying more rent under bi-weekly and monthly, as opposed to weekly, payment schedules, and (3) customers who exhibit delinquency in making contractual payments generally end up paying more rent. Further, our data allows some observations on annual percentage rates by illustrating the business risk present for RTO stores as well as the cross-subsidization of consumers.     

Strategic loan modification: An options-based response to strategic default

This paper presents a parsimonious barrier model for the optimal principal reset in a loan modification, thereby maximizing the loan value to the lender bank and minimizing the likelihood of strategic foreclosure by the homeowner. Writing down the loan-to-value (LTV) ratio will reduce the present value of future payments on the loan, but will also reduce the probability of default, thereby saving foreclosure losses. The optimal trade-off of these two countervailing effects will pinpoint the optimal LTV at which the loan must be reset. We present a simple barrier option decomposition of the loan value that makes the optimization of LTV easy to implement. An extension of the model is shown to account for varying growth rate assumptions about house prices. The model in this paper specifically accounts for the homeowner’s willingness to pay, and uses the framework to model shared-appreciation mortgages (SAMs).