Securitization and the Declining Impact of Bank Finance on Loan Supply: Evidence from Mortgage Originations
Elena Loutskina, Philip E. Strahan
Journal of Finance,
Nr. 2,
2009
Abstract
Low‐cost deposits and increased balance sheet liquidity raise banks' supply of illiquid loans more than loans easily sold or securitized. We exploit the inability of Fannie Mae and Freddie Mac to purchase jumbo mortgages to identify an exogenous change in liquidity. The volume of jumbo mortgage originations relative to nonjumbo originations increases with bank holdings of liquid assets and decreases with bank deposit costs. This result suggests that the increasing depth of the mortgage secondary market fostered by securitization has reduced the effect of lender's financial condition on credit supply.
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The Role of Securitization in Bank Liquidity and Funding Management
Elena Loutskina
Journal of Financial Economics,
Nr. 3,
2011
Abstract
This paper studies the role of securitization in bank management. I propose a new index of “bank loan portfolio liquidity” which can be thought of as a weighted average of the potential to securitize loans of a given type, where the weights reflect the composition of a bank loan portfolio. I use this new index to show that by allowing banks to convert illiquid loans into liquid funds, securitization reduces banks' holdings of liquid securities and increases their lending ability. Furthermore, securitization provides banks with an additional source of funding and makes bank lending less sensitive to cost of funds shocks. By extension, the securitization weakens the ability of the monetary authority to affect banks' lending activity but makes banks more susceptible to liquidity and funding crisis when the securitization market is shut down.
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Informed and Uninformed Investment in Housing: The Downside of Diversification
Elena Loutskina, Philip E. Strahan
Review of Financial Studies,
Nr. 5,
2011
Abstract
Mortgage lenders that concentrate in a few markets invest more in information collection than diversified lenders. Concentrated lenders focus on the information-intensive jumbo market and on high-risk borrowers. They are better positioned to price risks and, thus, ration credit less. Adverse selection, however, leads to higher retention of mortgages relative to diversified lenders. Finally, concentrated lenders have higher profits than diversified lenders, their profits vary less systematically, and their stock prices fell less during the 2007—2008 credit crisis. The results imply that geographic diversification led to a decline in screening by lenders, which likely played a role in the 2007–2008 crisis.
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Corporate Venture Capital, Value Creation, and Innovation
Thomas J. Chemmanur, Elena Loutskina, Xuan Tian
Review of Financial Studies,
Nr. 8,
2014
Abstract
We analyze how corporate venture capital (CVC) differs from independent venture capital (IVC) in nurturing innovation in entrepreneurial firms. We find that CVC-backed firms are more innovative, as measured by their patenting outcome, although they are younger, riskier, and less profitable than IVC-backed firms. Our baseline results continue to hold in a propensity score matching analysis of IPO firms and a difference-in-differences analysis of the universe of VC-backed entrepreneurial firms. We present evidence consistent with two possible underlying mechanisms: CVC's greater industry knowledge due to the technological fit between their parent firms and entrepreneurial firms and CVC's greater tolerance for failure.
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Financial Integration, Housing, and Economic Volatility
Elena Loutskina, Philip E. Strahan
Journal of Financial Economics,
Nr. 1,
2015
Abstract
The Great Recession illustrates the sensitivity of the economy to housing. This paper shows that financial integration, fostered by securitization and nationwide branching, amplified the positive effect of housing price shocks on the economy during the 1994–2006 period. We exploit variation in credit supply subsidies across local markets from government-sponsored enterprises to measure housing price changes unrelated to fundamentals. Using this instrument, we find that house price shocks spur economic growth. The effect is larger in localities more financially integrated, through both secondary loan market and bank branch networks. Financial integration thus raised the effect of collateral shocks on local economies, increasing economic volatility.
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Exporting Liquidity: Branch Banking and Financial Integration
Erik P. Gilje, Elena Loutskina, Philip E. Strahan
Journal of Finance,
Nr. 3,
2016
Abstract
Using exogenous liquidity windfalls from oil and natural gas shale discoveries, we demonstrate that bank branch networks help integrate U.S. lending markets. Banks exposed to shale booms enjoy liquidity inflows, which increase their capacity to originate and hold new loans. Exposed banks increase mortgage lending in nonboom counties, but only where they have branches and only for hard‐to‐securitize mortgages. Our findings suggest that contracting frictions limit the ability of arm's length finance to integrate credit markets fully. Branch networks continue to play an important role in financial integration, despite the development of securitization markets.
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Mortgage Companies and Regulatory Arbitrage
Yuliya Demyanyk, Elena Loutskina
Journal of Financial Economics,
Nr. 2,
2016
Abstract
Mortgage companies (MCs) do not fall under the strict regulatory regime of depository institutions. We empirically show that this gap resulted in regulatory arbitrage and allowed bank holding companies (BHCs) to circumvent consumer compliance regulations, mitigate capital requirements, and reduce exposure to loan-related losses. Compared to bank subsidiaries, MC subsidiaries of BHCs originated riskier mortgages to borrowers with lower credit scores, lower incomes, higher loan-to-income ratios, and higher default rates. Our results imply that precrisis regulations had the capacity to mitigate the deterioration of lending standards if consistently applied and enforced for all types of intermediaries.
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Fiscal Stimulus and Consumer Debt
Yuliya Demyanyk, Elena Loutskina, Daniel Murphy
Review of Economics and Statistics,
Nr. 4,
2019
Abstract
In the aftermath of the consumer debt–induced recession, policymakers have questioned whether fiscal stimulus is effective during periods of high consumer indebtedness. This study empirically investigates this question. Using detailed data on Department of Defense spending for the 2007–2009 period, we document that the open-economy relative fiscal multiplier is higher in geographies with higher consumer debt. The results suggest that in the short term (2007–2009), fiscal policy can mitigate the adverse effect of consumer (over)leverage on real economic output during a recession. We then exploit detailed microdata to show that both heterogeneous marginal propensities to consume and slack-driven economic mechanisms contribute to the debt-dependent multiplier.
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Tornado Activity, House Prices, and Stock Returns
Michael Donadelli, Michael Ghisletti, Marcus Jüppner, Antonio Paradiso
North American Journal of Economics and Finance,
April
2020
Abstract
In this paper we investigate the effects of tornado activity on house prices and stock returns in the US. First, using geo-referenced and metropolitan statistical area (MSA)-level data, we find tornado activity to be responsible for a significant drop in house prices. Spillover tornado effects between adjacent MSAs are also detected. Furthermore, our granular analysis provides evidence of tornadoes having a negative impact on stock returns. However, only two sectors seem to contribute to such a negative effect (i.e., consumer discretionary and telecommunications). In a macro-analysis, which relies on aggregate data for the South, West, Midwest and Northeast US regions, we then show that tornado activity generates a significant drop in house prices only in the South and Midwest. In these regions, tornadoes are also responsible for a drop in income. Tornado activity is finally found to positively (negatively) affect stock returns in the Midwest (South). If different sectors are examined, a more heterogeneous picture emerges.
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HIP, RIP, and the Robustness of Empirical Earnings Processes
Florian Hoffmann
Quantitative Economics,
Nr. 3,
2019
Abstract
The dispersion of individual returns to experience, often referred to as heterogeneity of income profiles (HIP), is a key parameter in empirical human capital models, in studies of life‐cycle income inequality, and in heterogeneous agent models of life‐cycle labor market dynamics. It is commonly estimated from age variation in the covariance structure of earnings. In this study, I show that this approach is invalid and tends to deliver estimates of HIP that are biased upward. The reason is that any age variation in covariance structures can be rationalized by age‐dependent heteroscedasticity in the distribution of earnings shocks. Once one models such age effects flexibly the remaining identifying variation for HIP is the shape of the tails of lag profiles. Credible estimation of HIP thus imposes strong demands on the data since one requires many earnings observations per individual and a low rate of sample attrition. To investigate empirically whether the bias in estimates of HIP from omitting age effects is quantitatively important, I thus rely on administrative data from Germany on quarterly earnings that follow workers from labor market entry until 27 years into their career. To strengthen external validity, I focus my analysis on an education group that displays a covariance structure with qualitatively similar properties like its North American counterpart. I find that a HIP model with age effects in transitory, persistent and permanent shocks fits the covariance structure almost perfectly and delivers small and insignificant estimates for the HIP component. In sharp contrast, once I estimate a standard HIP model without age‐effects the estimated slope heterogeneity increases by a factor of thirteen and becomes highly significant, with a dramatic deterioration of model fit. I reach the same conclusions from estimating the two models on a different covariance structure and from conducting a Monte Carlo analysis, suggesting that my quantitative results are not an artifact of one particular sample.
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