Systematic mistakes in the mortgage market and lack of financial sophistication

Institutions often offer a menu of contracts to consumers in an attempt to create a separating equilibrium that reveals borrower types and provides better pricing. We test the effectiveness of a specific set of contracts in the mortgage market: mortgage points. Points allow borrowers to exchange an upfront amount for a decrease in the mortgage rate. We document that, on average, points takers lose about $700. Also, points takers are less financially savvy (less educated, older), and they make mistakes on other dimensions (e.g., inefficiently refinancing their mortgages). Overall, our results show that borrowers overestimate how long they will stay with the mortgage.     

Leverage and strategic preemption: Lessons from entry plans and incumbent investments

This paper empirically investigates the effect of leverage on strategic preemption. Using new data on entry plans and incumbent investments from the American casino industry, I find that high leverage prevents incumbents from responding to entry threats. Facing the same set of entry plans, low-leverage incumbents expand physical capacity (by 30%), whereas high-leverage incumbents do not. This difference in investment matters because capacity installations preempt eventual entry. Stock market reactions to withdrawn plans imply that effective preemption increases incumbent firm value by 5%. My findings suggest that leverage matters for industry composition, not just firm-level investment.     

Why do banks choose to finance with equity?

A majority of U.S. banks between 1973 and 2012 held equity capital significantly beyond the required minimum. We study the risk-return tradeoff in connection with a bank’s capital structure, and identify several new significant market factors that drive the level of equity capital in banks. During normal growth periods, bank leverage is negatively related to a level of competition and loan portfolio diversification, while high bank leverage is associated with low past liquidity. During recessions and expansions, the roles of those factors change following distortions in risk-return tradeoff. In distress, when banks approach regulatory capital requirements, market determinants of book leverage lose their significance; however, leverage does not decrease until a bank is within 1% of the minimal capital threshold.     

Market procyclicality and systemic risk

We develop a model that captures, at the same time, the temporal dynamics of single-firm credit risk and the contagion across banks via a network of obligations and common assets. In particular, we enrich the continuous-time modelling approach of default by accounting explicitly for the procyclical loop between asset prices and leverage. Contagion can spread well before any default occurs, through the value of the obligations held by counterparties. Moreover, the extent of procyclicality effects depends explicitly on the structure of both the interbank network and the asset bank network. We analyse the model in a simplified scenario of a densely connected core of banks and we carry out a systematic investigation of how procyclicality emerges from the multiplicative interplay of market illiquidity and tightness of capital requirements.     

杠杆率新规对上市商业银行信贷约束的有效性研究

为研究杠杆率新规对银行信贷的影响,本文选用2004-2012年我国上市商业银行的杠杆率以及其他影响银行信贷指标的变量,就杠杆率标准的实施对约束我国商业银行信贷规模的有效性进行了实证分析。结果表明,杠杆率与我国商业银行的信贷规模呈负相关关系,杠杆率的监管要求会导致杠杆率不达标的银行信贷增长放缓;就影响程度而言,杠杆率对大型国有商业银行信贷规模的影响大于对股份制商业银行和城市商业银行的影响。     

The East Asian crisis and financing corporate investment: is there a cause for concern?

In view of limited empirical evidence concerning the microeconomic aspects of corporate financial problems in the East Asian countries in the 1990s, this paper analyses the financing pattern of corporate investment in Indonesia, Korea, Malaysia, and Thailand. The analysis is based on an unbalanced panel of listed firms during the period 1989–1997. By using firm size, retention practices, and leverage as three different indicators of financial constraint on firm investment, we have examined the role of various internal and external financing variables on corporate investment in the sample countries. Results indicate that a large number of sample firms depend on free cash flow, especially in Indonesia; there was also a steady increase in debt-equity ratio in all countries. There were signs of agency costs in the use of cash flow in Korea and Malaysia and also in the use of debt financing in Malaysia and Thailand. There was also sign of over-investment among the Thai firms during 1994–1997 though it appears very little if at all was done to redress it in time.     

流动性幻觉与高杠杆率之谜

本文研究信用货币体系下流动性不足导致的过度投资和高杠杆率问题。文章将货币引入到消费者与银行互动的三期经济框架中,构建信用货币体系下的偏好冲击与流动性冲击模型,阐明消费者的购买力、经济投资效率和杠杆率都在一定程度上取决于流动性背后的价值支撑,而非仅由流动性的名义数量决定。本文指出,流动性的价值支撑主要体现为央行储备资产和政府财政收入,其水平决定了经济体系内短期消费的支付能力,流动性的价值支撑不足会导致过度投资和高杠杆率。进一步基于中国数据的实证分析验证了理论模型的主要结论。本文研究结果提示,在经济双循环体系下,货币政策与财政政策的协调配合尤为重要,维持央行储备资产规模并保持合理税率水平可以缓解流动性的价值支撑不足和高杠杆率问题。     

Leverage,balance-sheet size and wholesale funding

Positive co-movements in bank leverage and assets are associated with leverage procyclicality. As wholesale funding allows banks to quickly adjust leverage, banks with wholesale funding are expected to exhibit higher leverage procyclicality. Using Canadian data, we analyze (i) if leverage procyclicality exists and its dependence on wholesale funding, (ii) market factors associated with this procyclicality, and (iii) if banking-sector leverage procyclicality forecasts market volatility. The findings suggest that procyclicality exists and that its degree positively depends on use of wholesale funding. Furthermore, funding-market liquidity matters for this procyclicality. Finally, banking-sector leverage procyclicality can forecast volatility in the equity market.     

Predicting Korean lodging firm failures: An artificial neural network model along with a logistic regression model

Using financial variables as predictors, this study developed logistic regression and artificial neural network (ANN) models to predict business failures for Korean lodging firms. While both models demonstrated comparable Type I errors, the ANN model showed considerably lower Type II errors for both in-sample and hold-out sample predictions. This study also found that interest coverage is the most important signal of business failure for the Korean hotel industry. This ratio is directly related to the hotel's solvency, ability to service debts and productivity of profits and can thus be regarded as a survival indicator of Korean hotel firms.