Mortgage Default: A Demand Choice Unknown at Purchase

Past empirical research on mortgage default has typically used purchase data to model an action that occurs months later, and variables have been specified in ratio form. Each of these has its limitations. This work goes beyond previous research by using macro- and municipal-specific data to estimate variable values at the point of the default decision. In addition, both linear and ratio specifications are employed to study the factors affecting mortgage default, given mortgage delinquency.     

Sovereign defaults: Information, investment and credit

Why would a sovereign government, immune from bankruptcy procedures and with few assets that could be seized in the event of a default, ever repay foreign creditors? And, correspondingly, why do foreign creditors lend to sovereigns? This paper finds general conditions under which, even in the absence of sanctions, lending to sovereigns can emerge in a single shot game. Furthermore, it shows that positive borrowing can be sustained both in pooling and separating equilibria. In this way, it makes clear that neither sanctions nor reputation considerations, the two classical explanations, are necessary to enforce repayment. Information revelation is the crucial mechanism for these results. The repayment/default decision is interpreted as a signal used by the government to communicate information to domestic and foreign agents about the fundamentals of the economy. Governments repay to affect agents' expectations about them. A default, through its effect on expectations about fundamentals, can generate a decline in foreign and domestic investment and a credit crunch in domestic credit markets. Governments repay to avoid these costs, but may default (in equilibrium) when hit by a negative shock.     

Default Patterns in Seven EU Countries: A Random Forest Approach

This study uses the relatively new “random forest” (RF) approach, which is based on decision-tree analysis by combining the results of a large set of decision trees. RFs have so far been little used for default prediction but offer an interesting alternative to well-established default prediction techniques. Based on accounting data from 945,062 observed European firms from seven countries in 2010 and 1,019,312 firms in 2011, we provide evidence on the country-specific default patterns. Because of the strong imbalance of the data sets with regard to the solvency status, standard RF implementations have to be modified to allow the estimation of realistic default propensities. We find that by far most accurate out-of-sample default propensities can be obtained for Italy followed by Portugal and Spain and the least accurate for the UK and Finland. The debt ratio, rate of return on sales, dynamic gearing ratio, and the rate of return on assets are found to be the most important variables for default prediction. The variable importance rankings are rather country specific, pointing to heterogeneity in the default patterns across the countries studied.     

Impacts of the borrower's attributes,loan contract contents,and collateral characteristics on mortgage loan default

This paper explores the factors influencing mortgage loan default and default probability by using the data from the mortgage loans of a case financial institution. The results indicate that the borrower's gender, the borrower's job position, whether the regional codes of the borrower's present residence and registered permanent residence are the same, the degree of relationship between the borrower and the guarantor, the loan-to-value ratio, the use status of collateral, and the located region of collateral are significantly positively correlated with the default probability. However, the education degree and the loan amount are significantly negatively correlated with the default probability.     

Note,advance refunding and municipal bond market efficiency

This study uses the public announcement of an advance refunding to examine the informational efficiency of the secondary market for municipal bonds. The data show that bond yields respond quickly and in the direction predicted. The text discusses methodological considerations and the data sources used in the tests. The results of the study indicate that even for infrequently traded bonds, yields can be expected to reflect fully changes in default risk.     

CREDIT SPREADS, OPTIMAL CAPITAL STRUCTURE, AND IMPLIED VOLATILITY WITH ENDOGENOUS DEFAULT AND JUMP RISK

We propose a two-sided jump model for credit risk by extending the Leland–Toft endogenous default model based on the geometric Brownian motion. The model shows that jump risk and endogenous default can have significant impacts on credit spreads, optimal capital structure, and implied volatility of equity options: (1) Jumps and endogenous default can produce a variety of non-zero credit spreads, including upward, humped, and downward shapes; interesting enough, the model can even produce, consistent with empirical findings, upward credit spreads for speculative grade bonds. (2) The jump risk leads to much lower optimal debt/equity ratio; in fact, with jump risk, highly risky firms tend to have very little debt. (3) The two-sided jumps lead to a variety of shapes for the implied volatility of equity options, even for long maturity options; although in general credit spreads and implied volatility tend to move in the same direction under exogenous default models, this may not be true in presence of endogenous default and jumps. Pricing formulae of credit default swaps and equity default swaps are also given. In terms of mathematical contribution, we give a proof of a version of the "smooth fitting" principle under the jump model, justifying a conjecture first suggested by Leland and Toft under the Brownian model.     

Objective measures as a predictor of late payments by high‐risk borrowers

Manufactured homes (also known outside the US as prefabricated homes) are a viable housing option for low‐income buyers, but traditional mortgages are not available for purchase of manufactured homes because of a perception of higher risk of default among purchasers of manufactured homes. Research suggests that creditscoring models which incorporate objective data such as income, debt‐to‐income ratio and credit history result in an accurate and objective predictive tool to estimate likelihood of late payments and default among traditional home buyers. This study showed that these same models can be applied similarly to purchasers of manufactured homes. A Tobit model was developed to evaluate which factors most accurately predict default and late payment behaviour among borrowers who purchased a manufactured home. The model showed that when decomposed into the probability of making a late payment and number of late payments, credit score and income are both significant predictors in both sets of borrowers of both the probability of making a late payment and the number of late payments. The higher the credit score, the less likely the borrower is to make a late payment.     

I'll have what she's having: (Social) Perceptions of default options and implications for marketing and decision making

The power that default options have in shaping choice has been well established, yet relatively little is known about how decision makers experience and interpret such preselected options. Research suggests that individuals assume defaults represent a recommended course of action, yet the basis for this recommendation is unclear. Across two experimental studies, we explored consumer theories of default recommendations, examining spontaneous and experimentally manipulated perceptions of the basis of the default, and the impact on decision making across different contexts. Evidence across diverse populations and tasks shows that options were retained to a greater extent when represented as the default, consistent with classic default effects. Furthermore, a significant default effect emerged when the decision context was framed as complex. In line with research on social influence, defaults were most effective when they were presumed to reflect the most popular option (regardless of context). Interestingly, participants rated defaults as being more likely to represent the most popular option, regardless of decision context or default explanation provided to them. These findings highlight the importance of understanding the contexts in which default choices are relied upon and how those defaults are perceived by decision makers.     

Dividend policy and capital structure of a defaultable firm

Default risk significantly affects the corporate policies of a firm. We develop a model in which a limited liability entity subject to default at an exponential random time jointly sets its dividend policy and capital structure to maximize the expected lifetime utility from consumption of risk‐averse equity investors. We give a complete characterization of the solution to the singular stochastic control problem. The optimal policy involves paying dividends to keep the ratio of firm's equity value to investors' wealth below a critical threshold. Dividend payout acts as a precautionary channel to transfer wealth from the firm to investors for mitigation of losses in the event of default. Higher the default risk, more aggressively the firm leverages and pays dividends.     

What risks do corporate bond put features insure against?

Corporate bond prices are known to be influenced by default and term structure risk in addition to non‐default risks such as illiquidity. Putable corporate bonds allow investors to sell their holdings back to the issuer and may thus provide insurance against all of these risks. We first document empirically that embedded put option values are related to proxies for all three. In a second step, we develop a valuation model that simultaneously captures default and interest rate risk. We use this model to disentangle the reduction in yield spread enjoyed by putable bonds that can be attributed to each risk. Perhaps surprisingly, the most important reduction is due to mitigated default or spread risk, followed by term structure risk. The reduction in the non‐default component is present but rather small.     

On the Prediction of Corporate Financial Distress in the Light of the Financial Crisis: Empirical Evidence from Greek Listed Firms

This paper evaluates the impact of accounting and market-driven information on the prediction of bankruptcy for Greek firms using the discrete hazard approach. The findings show that a hazard model that incorporates three accounting ratio components of Z-score and three market-driven variables is the most appropriate model for the prediction of corporate financial distress in Greece. This model outperforms a univariate model that uses the expected default frequency (EDF) derived from the Merton distance to default model, a multivariate model that is exclusively based on accounting variables, a model that combines the EDF and accounting variables, and a multivariate model that uses only market-driven variables. Classification accuracy and bankruptcy forecast tests confirm the main results. The model is also able to sustain high long-term performance when augmenting the forecast horizon from one to two and three years.     

Banking relationship and default priority in consumer credit: Evidence from Thai microdata

Banks play an important role in consumer credit, and when borrowers face a decision on whether to default on mortgage or non-mortgage loans first, banking relationship may matter. Our study provides first evidence into the interplay between banking relationship and consumer default priority via credit bureau data of 1 million individuals in Thailand. We find that same-bank borrowers are less likely to default on mortgage loans first, and borrowers with longer banking relationship and lower switching cost are more likely to default on mortgage loans first (which is welfare-improving). Our results suggest that banking relationship can lead to better outcomes for defaulting borrowers even when switching cost is high.     

The Pricing of Catastrophe Equity Put Options with Default Risk

In this paper, we present a pricing model for catastrophe equity put options with default risk by assuming that the default of the option issuer may occur at any time prior to maturity of the option. Catastrophic events are assumed to occur according to a doubly stochastic Poisson process, and stock price is affected by the catastrophe losses, which follow the compound doubly stochastic Poisson process. As for default risk, we adopt typical structural approaches, and we also allow the correlation between the underlying stock and the assets of the option issuer. Under this framework, we derive a pricing formula for catastrophe equity put options with default risk. Finally, numerical analysis is presented to illustrate effects of default risk on catastrophe equity put option prices.     

ARBITRAGE‐FREE BILATERAL COUNTERPARTY RISK VALUATION UNDER COLLATERALIZATION AND APPLICATION TO CREDIT DEFAULT SWAPS

We develop an arbitrage‐free valuation framework for bilateral counterparty risk, where collateral is included with possible rehypothecation. We show that the adjustment is given by the sum of two option payoff terms, where each term depends on the netted exposure, i.e., the difference between the on‐default exposure and the predefault collateral account. We then specialize our analysis to credit default swaps (CDS) as underlying portfolios, and construct a numerical scheme to evaluate the adjustment under a doubly stochastic default framework. In particular, we show that for CDS contracts a perfect collateralization cannot be achieved, even under continuous collateralization, if the reference entity’s and counterparty’s default times are dependent. The impact of rehypothecation, collateral margining frequency, and default correlation‐induced contagion is illustrated with numerical examples.     

DEFAULT AND SYSTEMIC RISK IN EQUILIBRIUM

We develop a finite horizon continuous time market model, where risk‐averse investors maximize utility from terminal wealth by dynamically investing in a risk‐free money market account, a stock, and a defaultable bond, whose prices are determined via equilibrium. We analyze the endogenous interaction arising between the stock and the defaultable bond via the interplay between equilibrium behavior of investors, risk preferences and cyclicality properties of the default intensity. We find that the equilibrium price of the stock experiences a jump at default, despite that the default event has no causal impact on the underlying economic fundamentals. We characterize the direction of the jump in terms of a relation between investor preferences and the cyclicality properties of the default intensity. We conduct a similar analysis for the market price of risk and for the investor wealth process, and determine how heterogeneity of preferences affects the exposure to default carried by different investors.     

Predicting default probabilities and implementing trading strategies for emerging markets bond portfolios

In this paper, we address two main issues: the computation of default probability implicit in emerging markets bond prices and the impact on portfolio risks and returns of expected changes in default probability. Using a reduced-form model, weekly estimates of default probabilities for U.S. Dollar denominated Global bonds of 12 emerging markets are extrapolated for the sample period 1997–2001. The estimation of a logit type econometric model shows that weekly changes of the default probabilities can be explained by means of some capital markets factors. Recursively estimating the logit model using rolling windows of data, out-of-sample forecasts for the dynamics of default probabilities are generated and used to form portfolios of bonds. The practical application provides interesting results, both in terms of testing the ability of a naive trading strategy based on model forecasts to outperform a “customized benchmark”, and in terms of the model ability to actively manage the portfolio risk (evaluated in terms of VaR) with respect to a constant proportion allocation.     

Per piece or per kilogram? Default-unit effects in retailing

Retailers offer a variety of products either per unit or per weight. Depending on the product category, consumers may find either one of these pricing strategies typical and the default. Especially online retailers are increasingly using unit-based prices, which is the non-default for many produce categories. So far, consequences resulting from non-default pricing strategies are unclear. This study addresses the questions of whether and how pricing strategies affect consumer behavior. In a series of four experiments, we show that default pricing strategies exist in the marketplace and that consumers prefer products that retailers offer using default pricing strategies. We also demonstrate that this behavior is due to uncertainty issues when assessing prices in non-default pricing strategies. Furthermore, we elaborate on the influence of weight expectations and explicitly stated weight information on this default-unit effect. The findings suggest that retailers can mitigate negative effects resulting from non-default pricing strategies by providing weight information.     

Lending Risk in MFIs: The Extreme Bounds of Microeconomic and Macroeconomic Factors

Using 1,234 microfinance firms in 106 countries, this study investigates the determinants of default on the microcredit debt obligation of borrowers. Using the variant of extreme bounds analysis that systematically tests the fragility of coefficient estimates, we examine the importance of 42 variables in explaining default risk. At the micro level, the results from the modeling of model uncertainty reveal that regulation, cost per loan/cost per borrower, loan balance, borrower per loan officer, and the number of loan officers are robust factors. From the macroeconomic context, the time required to start a business and human capital are the determinants of default on debt obligations.     

Gender Differences in Debt Repayment Problems after Divorce

Studies have shown that a growing number of divorced women were experiencing debt repayment problems during the 1980s. This study uses data from the Panel Study of Income Dynamics to (1) examine how debt repayment problems differ by marital status and gender and (2) investigate the role that supplemental income payments play in helping to mitigate repayment problems. The results show that divorced men and women are more likely to default on their debt obligations than married households. Further analysis reveals that increases in welfare payments significantly decrease the likelihood of default for divorced women but do not affect the probability of default for divorced men and married households. There is no evidence that payments related to child support and alimony affect default rates. The findings suggest that welfare benefits may help to mitigate the economic consequences of divorce for women.     

Private capital flows, capital controls, and default risk

What has been the effect of the shift in emerging market capital flows toward private sector borrowers? Are emerging market capital flows more efficient? If not, can controls on capital flows improve welfare? This paper shows that the answers depend on the form of default risk. When private loans are enforceable, but there is the risk that the government will default on behalf of all residents, private lending is inefficient and capital controls are potentially Pareto-improving. However, when private agents may individually default, capital flow subsidies are potentially Pareto-improving.