Deep learning for modeling the collection rate for third-party buyers

This study evaluates a wide range of machine learning techniques such as deep learning, boosting, and support vector regression to predict the collection rate of more than 65,000 defaulted consumer credits from the telecommunications sector that were bought by a German third-party company. Weighted performance measures were defined based on the value of exposure at default for comparing collection rate models. The approach proposed in this paper is useful for a third-party company in managing the risk of a portfolio of defaulted credit that it purchases. The main finding is that one of the machine learning models we investigate, the deep learning model, performs significantly better out-of-sample than all other methods that can be used by an acquirer of defaulted credits based on weighted-performance measures. By using unweighted performance measures, deep learning and boosting perform similarly. Moreover, we find that using a training set with a larger proportion of the dataset does not improve prediction accuracy significantly when deep learning is used. The general conclusion is that deep learning is a potentially performance-enhancing tool for credit risk management.     

Conditional Mandates on Management Earnings Forecasts: The Impact on the Cost of Debt

Exploiting a unique conditional disclosure mandate on management earnings forecasts (MEFs) in China, we examine the differential effects of voluntary and mandatory MEFs on the cost of debt. We find that firms providing voluntary MEFs have lower cost of debt than do mandatory forecasters and nonforecasters. The results of the channel analyses reveal that voluntary forecasters have greater commitment to voluntary MEFs in future periods than do mandatory forecasters and nonforecasters, and the precision, accuracy, and timeliness of MEFs are higher for voluntary forecasters than for mandatory forecasters. Additional analyses show that the differential effects of voluntary and mandatory MEFs on cost of debt are stronger for voluntary forecasters operating in opaque information environments, issuing high-quality and confirming forecasts, controlled by private shareholders, and operating in highly competitive product markets. Overall, our results indicate that, compared with mandatory MEFs, voluntary MEFs are more informative for credit investors, particularly for firms facing greater information risk and operating uncertainty.     

Debt Overhang and Deleveraging in the US Household Sector: Gauging the Impact on Consumption

Using a novel data set for the U.S. states, this paper examines whether household debt and the protracted debt deleveraging help explain the dismal performance of U.S. consumption since 2007 in the aftermath of the housing bubble. By separating the concepts of deleveraging and debt overhang—a flow and a stock effect—we find that excessive indebtedness exerted a meaningful drag on consumption over and beyond wealth and income effects. The overall effect, however, is modest—‐around one sixth of the slowdown in consumption between 2000–06 and 2007–12—and mostly driven by states with particularly large imbalances in their household sector. This might be indicative of non‐linearities, whereby indebtedness begins to bite only when misalignments from sustainable debt dynamics become excessive.     

地方政府债务空间与空间债务——基于地根经济的区位黏性视角

本文从人口流动的区位黏性这一全新视角，将地方政府性债务的李嘉图等价命题纳入新经济地理研究框架进行理论分析。为了进一步揭示理论模型的政策含义，采用空间计量方法验证沿海地区地方政府性债务的局部正相关特征。最优的债务政策取决于经济系统的初始条件，在非对称经济结构已经存在的情况下，单纯建设本地区的基础设施只会降低区域内的交易成本，这对于那些仅着眼于投巨资用于城市“硬件”建设的地方政府来说显然是一叶障目。建议依靠基础设施网络提高区域协同创新能力，培育规模报酬递增的专业化产业集群。     

Political uncertainty,risk of Frexit and European sovereign spreads

Using data from a prediction market (crowd-based forecasts), we build a daily measure capturing the risk of Frexit related to the 2017 French presidential elections. We study how unexpected changes in this new measure of political uncertainty in France affect European sovereign spreads vis-à-vis Germany. We show that our uncertainty proxy drives not only the French sovereign spread but also the spreads of those EU countries deemed the most vulnerable to the risk of desegregation of the Euro Zone. These results suggest that specific political uncertainty affects short-term investor’s expectations and may outweigh other economic determinants of sovereign spreads shortly prior to high stake elections     

Insolvency regimes and firms' default risk under economic uncertainty and shocks

One of the arguments often advanced for implementing a stronger insolvency and bankruptcy framework is that it enhances credit discipline among firms. Using a large cross-country firm-level dataset, we empirically test whether a stronger insolvency regime reduces firms' likelihood of defaulting on their debt. In particular, we examine whether it reduces default risk during increased economic uncertainty and various external shocks. Our results confirm that a stronger insolvency regime moderates the adverse effects of economic shocks on firms' default risk. The effects are more pronounced for firms in the top half of the size distribution. We also explore channels through which improved creditor rights influence firms' default risk, including dependence on external finance, corporate leverage, and managerial ethics. Our main results are robust to an alternative measure of default risk, inclusion of currency and sovereign debt crisis episodes, and alternative estimations.     

Politically connected boards,family and business group affiliations,and cost of capital: Evidence from Indonesia

We investigate the effect of politically connected boards (both supervisory boards [SBs] and boards of directors [BODs]) on cost of debt and equity capital of listed companies in Indonesia which has established a two-tier corporate governance system. The results, based on 250 firms, suggest that companies with politically connected SBs experience lower cost of debt and equity capital, whereas politically connected BODs have no association with cost of either debt or equity. Furthermore, we find that family firms and firms belonging to business groups with politically connected SBs enjoy lower cost of debt and equity capital. Our main results are robust to alternative measures and to tests for endogeneity.     

Profit shifting and tax-rate uncertainty

Using firm-level data for 1,084 parent firms in 24 countries and for 9,497 subsidiaries in 54 countries, we show that tax-motivated profit shifting is larger among subsidiaries in countries that have stable corporate tax rates over time. Our findings further suggest that firms move away from transfer pricing and toward intragroup debt shifting that has lower adjustment costs. Our results are robust to several identification methods and respecifications, and they highlight the important role of tax-rate uncertainty in the profit-shifting decision while pointing to an adjustment away from more costly transfer pricing and toward debt shifting.     

Household Debt Overhang and Transmission of Monetary Policy

We investigate how the level of household indebtedness affects the monetary transmission mechanism in the U.S. economy. Using state‐dependent local projection methods, we find that the effects of monetary policy are less powerful during periods of high household debt. In particular, the impact of monetary policy shocks is smaller on GDP, consumption, residential investment, house prices, and household debt during a high‐debt state. We then build a partial equilibrium model of borrower households with financial constraints to rationalize these facts. The model points to the weakening of the home equity loan channel as a possible reason for the decline in monetary policy effectiveness when initial debt levels are high.     

Development costs capitalization and debt financing

This study investigates debt market effects of research and development (R&D) costs capitalization, using a global sample of public bonds and private syndicated loans issued by public non‐financial firms. Firstly, we show that firms capitalize larger amounts of R&D in a year when they exhibit a propensity for issuing bonds, rather than borrowing funds privately from the syndicated loan market, in the subsequent year. Secondly, we provide evidence that capitalized R&D investments reduce the cost of debt. We infer that debt market participants are able to identify firms’ motives for R&D capitalization, as we find a reduction in the cost of debt only for those firms that do not show indications of employing R&D capitalization for earnings management reasons. Indeed, only for this sub‐sample of firms, the amount of capitalized R&D contributes positively to future earnings. We confirm that R&D capitalization is positively associated with audit fees and thus can be deemed to be a signaling device. Lastly, we find that it is the amount of R&D a firm is expected to capitalize and not the discretionary counterparts, which facilitates a firm's access to public debt markets, reduces bond and syndicated loan prices, and contributes to future benefits.