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Mortgage Refinance and Mortgage Stress

Paper Session

Friday, Jan. 6, 2023 8:00 AM - 10:00 AM (CST)

Sheraton New Orleans, Edgewood AB
Hosted By: American Real Estate and Urban Economics Association
  • Chair: Rodney Ramcharan, University of Southern California

Closing Costs, Refinancing, and Inefficiencies in the Mortgage Market

David H. Zhang
,
Harvard Business School

Abstract

I use a structural model to study the cross-subsidization in the US mortgage market due to heterogeneous borrower refinancing tendencies. Quick to refinance borrowers gain up to 3% of their loan amount relative to slow to refinance borrowers in expectation. In equilibrium, the presence of slow to refinance borrowers reduces mortgage interest rates particularly on lower upfront closing cost mortgages which have more valuable refinancing options. As a result, quick to refinance borrowers refinance excessively relative to a perfect information, no cross-subsidization benchmark, an effect that accounts for around 28% of all US refinancing and generates significant deadweight losses due to administrative resource costs. Alternative contract designs can simultaneously reduce transfers and increase total welfare.

More Tax, Less Refi? The Mortgage Interest Deduction and Monetary Policy Pass-Through

Eileen Driscoll van Straelen
,
Federal Reserve Board
Tess Scharlemann
,
Federal Reserve Board

Abstract

We study how fiscal policy affects the transmission of monetary policy using the Tax Cuts and Jobs Act (TCJA) of 2017 as a natural experiment. The TCJA capped deductions for state and local taxes, (SALT), and increased the standard deduction, causing many households to switch from itemizing to taking the standard deduction. Households that stopped deducting mortgage interest increased their after-tax mortgage rate, increasing both their refinance incentive and the return to accelerating their balance payoff. Using a difference-in-differences design with a novel method for inferring a loan's itemizing status, we compare the refinance and debt paydown behavior of households that likely stopped itemizing. We find that for households who stopped itemizing, the TCJA increased the refinance probability conditional on refinance incentive. The law change had no detectable effect on deleveraging for borrowers' existing mortgage through reduced cash-out refinancing, increased cash-in refinancing, or accelerated paydown.

Quick on the Draw: Line Adjustment and Draw Behavior in Failing Banks

Alexander Brenden Ufier
,
FDIC
Amanda Rae Heitz
,
FDIC and Tulane University
Jeff Tracyznski
,
FDIC

Abstract

Using a proprietary set of transaction-level HELOC data from five banks, we explore whether banks actively manage HELOCs for periods prior to and during bank distress. Banks are more likely to revoke credit lines that exhibit potentially problematic characteristics at origination and time-varying borrower “early warning signals” of risk. In the three months before each bank’s staggered failure date, when bank capital constraints and incentives to strategically deploy that capital increase, our findings grow in magnitude. In contrast, during this time, we find that, on average, borrowers do not increase HELOC drawdown rates. The existing literature focuses on how bank relationships can be valuable during periods of economic or borrower stress. To our knowledge, we are the first paper to examine the value of lending as well as deposit relationships during bank stress. Before the bank becomes distressed, we find that existing relationships have no adverse effects on banks’ decision to revoke credit. As failure approaches, however, borrowers with other lending relationships are more likely to have their HELOCs cut, suggesting that lending relationships do not benefit borrowers during times of bank stress. We contribute to a growing literature that explores how contractions in the supply of credit and deteriorating bank financial health affect bank and borrower behavior.

Targeted Principal Forgiveness Is Effective: Mortgage Modification and Financial Crisis

Philip Lewis Kalikman
,
Yeshiva University
Joelle Scally
,
Federal Reserve Bank of New York

Abstract

Research into the Global Financial Crisis finds forgiving mortgage principal ineffective at stemming defaults, and argues that borrowers default because of illiquidity, not strategically. We argue the opposite: targeted forgiveness is effective, and default is better explained by quantifying how illiquidity interacts with borrowers’ strategy. We embed these interactions in a computational heterogeneous structural model, introducing idiosyncratic default penalties. Differing penalties explain borrowers’ differing deviations from pure-financial optimality. We run the model on heterogeneous microdata, estimating penalties from credit scores and payment histories. Forgiving low-score, deep-underwater borrowers would have eliminated nearly all their defaults, with net gain for lenders.

Discussant(s)
Douglas A. McManus
,
Freddie Mac
Andrea Heuson
,
University of Miami
Mallick Hossain
,
Federal Reserve Bank of Philadelphia
Sanghoon Kim
,
SUNY-Buffalo
JEL Classifications
  • G2 - Financial Institutions and Services