Nonlinear Effects of Mortgage Spreads Over the Business Cycle

This paper provides robust evidence for the nonlinear effects of mortgage spread shocks during recessions and expansions in the United States. Estimating a smooth-transition vector autoregression (STVAR) model, we show that mortgage spread shocks hitting in a recessionary phase create significantly deeper and more protracted declines in consumption and housing market variables. In addition, we provide evidence that these mortgage spread shocks could be largely interpreted as credit supply shocks in the mortgage market. Our empirical results imply that unconventional monetary policy, such as the Federal Reserve's mortgage-backed security purchase program, would be a more effective tool for stabilizing the economy during recessions than in expansions.     

Macroeconomic Implications of “Deep Habits” in Banking

Recent empirical evidence shows that price‐cost margins in the market for bank credit are countercyclical in the U.S. economy and that this cyclical behavior can be explained in part from the fact that switching banks is costly for customers (i.e., from a borrower hold‐up effect). Our goal, in this paper, is to study the “financial accelerator” role of these countercyclical margins as a propagation mechanism of macroeconomic shocks. To do so, we apply the “deep habits” framework in Ravn, Schmitt‐Grohé, and Uribe (2006) to financial markets to model this hold‐up effect within a monopolistically competitive banking industry. We are able to reproduce the pattern of price‐cost margins observed in the data, and to show that the real effects of aggregate total factor productivity shocks are larger the stronger the friction implied by borrower hold‐up. Also, output, investment, and employment all become more volatile than in a standard model with constant margins in credit markets. An empirical contribution of our work is to provide structural estimates of the deep habits parameters for financial markets.     

Housing, consumption and monetary policy: How different are the US and the euro area?

This paper provides a systematic empirical analysis of the role of the housing market in the macroeconomy in the US and the euro area. First, it establishes some stylised facts concerning key variables in the housing market on the two sides of the Atlantic, such as real house prices, residential investment and mortgage debt. It then presents evidence from Structural Vector Autoregressions (SVAR) by focusing on the effects of monetary policy, credit supply and housing demand shocks on the housing market and the broader economy. The analysis shows that similarities outweigh differences as far as the housing market is concerned. The empirical evidence suggests a stronger role for housing in the transmission of monetary policy shocks in the US. The evidence is less clear-cut for housing demand shocks. Finally, credit supply shocks seem to matter more in the euro area.     

Optimal Macroprudential Policies and House Prices in Korea

This article investigates the impacts of the macroprudential policy of limitation on credit growth in housing market on Korean economy to find empirical and theoretical implications. Empirical results based on VAR models show that macroprudential policies like LTV and DTI in Korea have significant and persistent effect on real household credit and real house price. This article further addresses implications of optimal macroprudential and monetary policy in Korea by employing a standard DSGE model. The results suggest that the time-varying macroprudential policy responding to the borrower’s debt to income ratio is most effective in stabilizing household debt among the macroprudential policy rules considered, but produces a moderate downturn of the economy.     

房价波动、金融稳定与最优宏观审慎政策

本文通过构建包含家庭住房抵押借款摩擦和银行贷款摩擦的动态随机一般均衡模型,重点考察了异质性冲击下房价波动对金融稳定的影响。研究发现,房价上涨会导致银行风险溢价及杠杆率显著上升,进而加剧金融体系的内在不稳定。为降低房价波动及维护金融稳定,选取两类宏观审慎政策工具进行逆周期调控实验,结果表明,在住房需求冲击下,金融管理部门应选取贷款价值比政策,且应对房贷积极调控,而对房价进行中性调控。在最终产品部门生产率冲击、房地产部门生产率冲击及跨期偏好冲击下,应选取资本充足率政策,但对房贷和房价调控力度的把握则存在差异。本研究为厘清房价波动对金融稳定的动态传导机制,以及金融管理部门如何选取宏观审慎政策工具以稳定房价并降低系统性金融风险提供了启示。     

The determinants of vulnerability to the global financial crisis 2008 to 2009: Credit growth and other sources of risk

In this paper, we identify initial macroeconomic and financial market conditions that help explain the distinct response of the real economy of a particular country to the recent global financial crisis. Using four measures of crisis severity, we examine a data set with over 90 potential explanatory factors employing techniques that are robust to model uncertainty. Four findings are of particular note. First, we find empirical evidence for the pivotal role of pre-crisis credit growth in shaping the real economy's response to the crisis. Specifically, a 1% increase in pre-crisis lending translates into a 0.2% increase in the cumulative loss in real output. Moreover, the combination of pronounced growth in lending ahead of the crisis and the country's exposure to external funding from advanced economies is shown to intensify the real downturn. Economies with booming real activity before the crisis are found to be less resilient to the global shock. Buoyant growth in real GDP in parallel with strong growth of credit particularly exacerbated the effects of the recent crisis on the real economy. Finally, we provide empirical evidence on the importance of holding international reserves in explaining the response of the real economy to the crisis. The accumulation of international reserves mitigated the harmful effects of financial stress on the real economy, in particular when domestic funding via credit is abundant. The results are shown to be robust to several estimation techniques, including those allowing for cross-country spillovers.     

Why Inside Money Matters

This note observes that in a simple infinite horizon economy with heterogeneous endowments and a cash-in-advance constraint fiat money can be used to implement a Pareto optimum only with type-specific taxation. By contrast, if credit contracts are enforceable, the same allocation can be reached in equilibrium without type specific policy. We argue that the advantages of inside money and the fact that they depend on the capacity of the economy to enforce the repayment of debt direct us toward the study of the institutional infrastructure underlying self-enforcing inside money equilibria.     

Disparities in Mortgage Lending,Bank Performance,Economic Influence,and Regulatory Oversight

This study investigates factors affecting changes in the disparity of home mortgage denial rates between white and minority loan applicants in the U.S. during the period 1991–1997. We develop a two-stage least-squares regression model that incorporates applicant-level characteristics, neighborhood characteristics, regional economic data, and bank-specific data as explanatory variables. Some have argued that mortgage lenders were under increasing pressure from industry regulators to extend additional credit to minorities and low-income groups during the period under study. The model includes each institution's periodic CRA rating as a proxy for regulatory influence. An alternative explanation is that market forces, such as improvements in economic conditions and in bank financial condition and performance, affected default loss estimates and credit standards in a way that disproportionally benefited minority and low-income applicants. The empirical findings are consistent with the latter hypothesis. We conclude that policy makers should consider the impact of market factors when assessing the allocation of mortgage credit in a particular demographic market. The findings also underscore the importance of controlling for lender assessments of credit risk when evaluating compliance with CRA and fair lending statutes.     

Financial liberalization,market structure and credit penetration

This paper shows that the effects of financial liberalization on the credit market of a small and capital constrained economy depend on the market structure of domestic banks prior to liberalization. Specifically, under perfect competition in the domestic credit market prior to liberalization, liberalization leads to lower domestic interest rates, in turn leading to increased credit penetration. However, when the initial market structure is one of imperfect competition, liberalization can lead to the exclusion of less wealthy entrepreneurs from the credit market. This provides a rationale for the mixed empirical evidence concerning the effects of liberalization on access to credit in developing markets. Moreover, the analysis provides new insights into the consequences of foreign lenders’ entry into developing economies.     

THE EFFECT OF MONETARY POLICY ON CREDIT SPREADS

We analyze the effect of monetary policy on yield spreads between corporate bonds with different credit ratings over the business cycle. We use futures contracts to distinguish between expected and unexpected changes in the Fed funds target rate and several indicators to distinguish between different phases of the business cycle. In line with the predictions of imperfect capital market theories, we find that yields on corporate bonds with low credit ratings widen (narrow) with respect to those with high credit ratings following an unexpected increase (decrease) in the Fed funds target rate during recession periods. Several tests suggest that our results are robust to outliers, potential endogeneity problems, empirical specification, control variables, countercyclical risk premium in futures, and alternative definitions of credit spreads and economic conditions.     

Credit Markets and the Propagation of Monetary Policy Shocks

This paper analyzes the propagation of monetary policy shocks through the creation of credit in an economy. Models of the monetary transmission mechanism typically feature responses that last for a few quarters contrary to what the empirical evidence suggests. To propagate the impact of monetary shocks over time, these models introduce adjustment costs by which agents find it optimal to change their decisions slowly. This paper presents another explanation that does not rely on any sort of adjustment costs or stickiness. In our economy, agents own assets and make occupational choices. Banks intermediate between agents demanding and supplying assets. Our interpretation is based on the way banks create credit and how the monetary authority affects the process of financial intermediation through its monetary policy. As the central bank lowers the interest rate by buying government bonds in exchange for reserves, high productive entrepreneurs are able to borrow more resources from low-productivity agents. We show that this movement of capital among agents sets in motion a response of the economy that resembles an expansionary phase of the cycle.     

金融加速器理论及其研究进展分析

金融加速器理论是指由于金融市场本身的不完美,信贷市场的微小波动有可能对宏观经济造成巨大冲击的理论。本文首先探讨了金融加速器的概念以及作用机制,在此基础上梳理了金融加速器理论在国内外的应用研究文献,并在最后指出该理论对我国经济发展的启示。     

What drives U.S. financial sector volatility? A Bayesian model averaging perspective

We investigate the driving forces behind the quarterly stock price volatility of firms in the U.S. financial sector over the period from 1990 to 2017. The driving forces represent a set of 28 economic indicators that are routinely used to detect financial instability and crises and correspond to the development of the financial, monetary, real, trade and fiscal sector as well as to the development of the bond and equity markets. The dimensionality and model choice uncertainty are addressed using Bayesian model averaging, which led to the identification of only seven variables that tend to systematically drive the stock price volatility of financial firms in the U.S.: housing prices, short-term interest rates, net national savings, default yield spread, and three credit market variables. We also confirm that our results are not an artefact of volatility associated with market downturns (for negative semi-volatility), as the results are similar even when market volatility is associated with market upsurge (positive semi-volatility). Given the identified drivers, our results provide supporting empirical evidence that dampening credit cycles might lead to decreased volatility in the financial sector.     

Monetary policy and bank lending in the Euro area: Is there a stock market channel or an interest rate channel?

In this paper I compare a traditional demand oriented model of bank lending with its focus on short-term interest rates in the money market, to a non-traditional capital budgeting model of bank lending based on movements in share valuations for the Euro area. Using non-nested hypothesis tests, omitted variables tests, and Granger Causality tests, I reject the traditional demand oriented model of bank lending and fail to reject the capital budgeting model of bank lending for Monetary Financial Institutions (MFI's) in the Euro area. Even though Europe is a bank-based financial system, it appears the stock market plays a key role in the lending decisions and allocation of resources in Europe. One possible policy implication of this research is that the central bank should try and stabilize stock prices in order to achieve their goal of stabilizing bank lending and the economy.     

Housing and the Macroeconomy: Inflation and the Financial Accelerator

Three themes connecting housing and the macroeconomy are discussed. First, evidence is presented for the property market as one of the drivers of U.S. consumer price inflation. Second, key drivers of house prices are explained to account for the remarkable diversity of international experience. Finally, three potential links between housing, credit, and the financial accelerator are discussed. These are the consumption channel, the investment channel, and feedback between bad loans and risk‐spreads via the financial system—and how institutional differences between countries can explain the presence, absence and magnitudes of these linkages.     

我国金融倾斜波动效应的实证分析

基于融资结构变迁的视角,"金融倾斜"特指间接金融与直接金融两种融资方式的不平衡发展,而金融倾斜极易引发一国经济的非对称波动.长期以来,间接金融主导着我国金融资源配置,通过H-P滤波分析可以发现,我国信贷市场波动具有强烈的亲周期特征,股票市场波动仅显现微弱的亲周期特征;通过非对称脉冲响应分析可以发现,我国信贷紧缩时期的波动效应大于扩张期的波动效应,由此验证了我国经济周期中"小冲击,大波动"的金融加速器效应.     

The effects of asymmetric information between borrowers and lenders in an open economy

This paper assesses the effects of asymmetric information between borrowers and lenders in an open economy with access to international capital markets. Information asymmetry and agency costs arise because only borrowers can costlessly observe actual returns from production. Agency costs increase the cost of external finance and lower steady state investment, capital and output. They also affect the business cycle and the central bank’s response to shocks. The long-run effects of agency costs are exacerbated in an open economy and their impact is influenced by the degree of access to international capital markets. The results thus highlight the importance of incorporating credit market interactions into open economy macroeconomic models.     

How changes in market conditions affect screening activity,credit risk,and the lending behaviour of banks

The global financial crisis dramatically transformed the market conditions in the banking industry. We construct a theoretical model of spatial competition that considers the differential information between lenders and loan applicants to explore how changes in the market structure affect the lending behaviour of banks and their incentives to invest in screening and how this, in turn, affects the level of credit risk in the economy. Our findings reveal that enhanced competition reduces lending cost thus encouraging the entry of new customers in credit markets. Also, that the transportation cost that loan applicants are required to pay to reach the bank of their interest shrinks with respect to the degree of competition. We further lend support to the view that stiffer competition has an increasing impact on the level of credit risk. Notably, we find that competition strengthens the incentives of banks to engage in screening activity and that screening serves as a protection mechanism that can provide banks with a shield against bad loans. Overall, when market conditions are substantially distorted, this has a dilutive impact on the incentives mechanism of banks to screen their applicants. We provide empirical evidence which is consistent with the conceptual underpinnings of our theoretical model and the obtained findings.     

Follow the money: The monetary roots of bubbles and crashes

A reduced form model for the join dynamics of liquidity and asset prices is proposed. The self-reinforcing feedback between credit creation and the market value of the financial assets employed as collateral in the bank loans (the so called financial accelerator) is modeled by a coupled non-linear stochastic process. We show that such non-linear interaction produces explosive dynamics in the financial variables announcing a regime change in finite time in the form of a market crash which can also be modeled by the same coupled non-linear stochastic process with inverted signs. Casting the financial accelerator dynamics into a highly stylized macroeconomic model, we study its macro-dynamics implications for real economy and for monetary policy interventions. Finally, by exploiting the implications of the proposed model on the dynamics of financial asset returns, we introduce an extension of the GARCH process, that can provide an early warning identification of bubbles.     

货币政策能够兼顾稳增长与防风险吗？——基于动态随机一般均衡模型的分析

为构建金融有效支持实体经济的体制机制,需平衡好稳增长、调结构和防风险三者间的关系。在此背景下,本文在两部门新凯恩斯主义动态随机一般均衡模型中引入异质性抵押约束,探讨货币政策如何兼顾稳增长和防风险,进而促进金融更好地服务实体经济。本文模拟结果显示:(1)降低利率和强化国企抵押约束可促进稳增长与稳杠杆。推动国企贷款利率趋于市场水平并降低非国企贷款成本,积极发挥结构性货币政策工具的作用,将增进其政策效果;(2)2008-2016年宏观杠杆率上升主要与国企抵押约束过松有关,2017年后利率对宏观杠杆率的调控增强;(3)宏观审慎政策框架下,货币政策盯住宏观杠杆率,并根据政策目标和经济背景适时调整利率与杠杆率的内生关系,能够优化货币政策效果。对于降低利率和强化国企抵押约束的政策组合,根据宏观杠杆率的变化同向调整利率水平有利于经济稳步增长和宏观杠杆率趋稳。