The Journal of Finance

Dividend Dynamics, Learning, and Expected Stock Index Returns

Published: 12/4/2018,  Volume: 74,  Issue: 1  |  DOI: 10.1111/jofi.12731  |  Cited by: 42

RAVI JAGANNATHAN, BINYING LIU

We present a latent variable model of dividends that predicts, out‐of‐sample, 39.5% to 41.3% of the variation in annual dividend growth rates between 1975 and 2016. Further, when learning about dividend dynamics is incorporated into a long‐run risks model, the model predicts, out‐of‐sample, 25.3% to 27.1% of the variation in annual stock index returns over the same time horizon, with learning contributing approximately half of the predictability in returns. These findings support the view that investors' aversion to long‐run risks and their learning about these risks are important in determining stock index prices and expected returns.

Corrigendum for Dividend Dynamics, Learning, and Expected Stock Index Returns

Published: 5/30/2019,  Volume: 74,  Issue: 4  |  DOI: 10.1111/jofi.12786  |  Cited by: 0

RAVI JAGANNATHAN, BINYING LIU, JIAQI ZHANG

Matching Capital and Labor

Published: 8/28/2017,  Volume: 72,  Issue: 6  |  DOI: 10.1111/jofi.12542  |  Cited by: 93

JONATHAN B. BERK, JULES H. van BINSBERGEN, BINYING LIU

We establish an important role for the firm by studying capital reallocation decisions of mutual fund firms. The firm's decision to reallocate capital among its mutual fund managers adds at least $474,000 a month, which amounts to over 30% of the total value added of the industry. We provide evidence that this additional value added results from the firm's private information about the skill of its managers. The firm captures this value because investors reward the firm following a capital reallocation decision by allocating additional capital to the firm's funds.

The Real Determinants of Asset Sales

Published: 9/10/2008,  Volume: 63,  Issue: 5  |  DOI: 10.1111/j.1540-6261.2008.01396.x  |  Cited by: 85

LIU YANG

I develop a dynamic structural model in which a firm makes rational decisions to buy or sell assets in the presence of productivity shocks. By identifying equilibrium asset prices, the model also examines the aggregate asset sales activity over the business cycle. It shows that changes in productivity, rather than productivity levels, affect decisions: Firms with rising productivity buy assets and firms with falling productivity downsize (“rising buys falling”). As such, industries in which firms have less persistent and more volatile productivity experience greater asset reallocation. Using plant‐level data from Longitudinal Research Database (LRD), I find strong support for the model's predictions.

A Model of Systemic Bank Runs

Published: 3/21/2023,  Volume: 78,  Issue: 2  |  DOI: 10.1111/jofi.13213  |  Cited by: 26

XUEWEN LIU

We develop a tractable model of systemic bank runs. The market‐based banking system features a two‐layer structure: banks with heterogeneous fundamentals face potential runs by their creditors while they trade short‐term funding in the asset (interbank) market in response to creditor withdrawals. The possibility of a run on a particular bank depends on its assets' interim liquidation value, and this value depends endogenously in turn on the status of other banks in the asset market. The within‐bank coordination problem among creditors and the cross‐bank price externality feed into each other. A small shock can be amplified into a systemic crisis.

Optimal Consumption and Investment with Transaction Costs and Multiple Risky Assets

Published: 2/2004,  Volume: 59,  Issue: 1  |  DOI: 10.1111/j.1540-6261.2004.00634.x  |  Cited by: 248

Hong Liu

We consider the optimal intertemporal consumption and investment policy of a constant absolute risk aversion (CARA) investor who faces fixed and proportional transaction costs when trading multiple risky assets. We show that when asset returns are uncorrelated, the optimal investment policy is to keep the dollar amount invested in each risky asset between two constant levels and upon reaching either of these thresholds, to trade to the corresponding optimal targets. An extensive analysis suggests that transaction cost is an important factor in affecting trading volume and that it can significantly diminish the importance of stock return predictability as reported in the literature.

Rational Inattention and Portfolio Selection

Published: 8/2007,  Volume: 62,  Issue: 4  |  DOI: 10.1111/j.1540-6261.2007.01263.x  |  Cited by: 129

LIXIN HUANG, HONG LIU

Costly information acquisition makes it rational for investors to obtain important economic news with only limited frequency or limited accuracy. We show that this rational inattention to important news may make investors over‐ or underinvest. In addition, the optimal trading strategy is “myopic” with respect to future news frequency and accuracy. We find that the optimal news frequency is nonmonotonic in news accuracy and investment horizon. Furthermore, when both news frequency and news accuracy are endogenized, an investor with a higher risk aversion or a longer investment horizon chooses less frequent but more accurate periodic news updates.

Long‐Run Risk: Is It There?

Published: 4/14/2022,  Volume: 77,  Issue: 3  |  DOI: 10.1111/jofi.13126  |  Cited by: 47

YUKUN LIU, BEN MATTHIES

This paper documents the existence of a persistent component in consumption growth. We take a novel approach using news coverage to capture investor concern about economic growth prospects. We provide evidence that consumption growth is highly predictable over long horizons—our measure explains between 23% and 38% of cumulative future consumption growth at the five‐year horizon and beyond. Furthermore, we show a strong connection between this predictability and asset prices. Innovations to our measure price 51 standard portfolios in the cross section and our one‐factor model outperforms many benchmark macro‐ and return‐based multifactor models.

How to Discount Cashflows with Time‐Varying Expected Returns

Published: 12/2004,  Volume: 59,  Issue: 6  |  DOI: 10.1111/j.1540-6261.2004.00715.x  |  Cited by: 117

ANDREW ANG, JUN LIU

While many studies document that the market risk premium is predictable and that betas are not constant, the dividend discount model ignores time‐varying risk premiums and betas. We develop a model to consistently value cashflows with changing risk‐free rates, predictable risk premiums, and conditional betas in the context of a conditional CAPM. Practical valuation is accomplished with an analytic term structure of discount rates, with different discount rates applied to expected cashflows at different horizons. Using constant discount rates can produce large misvaluations, which, in portfolio data, are mostly driven at short horizons by market risk premiums and at long horizons by time variation in risk‐free rates and factor loadings.

Rent Extraction with Securities Plus Cash

Published: 4/6/2021,  Volume: 76,  Issue: 4  |  DOI: 10.1111/jofi.13018  |  Cited by: 25

TINGJUN LIU, DAN BERNHARDT

In our target‐initiated theory of takeovers, a target approaches potential acquirers that privately know their standalone values and merger synergies, where higher synergy acquirers tend to have larger standalone values. Despite their information disadvantage, targets can extract all surplus when synergies and standalone values are concavely related by offering payment choices that are combinations of cash and equity. Targets exploit the reluctance of high‐valuation acquirers to cede equity claims, inducing them to bid more cash. When synergies and standalone values are not concavely related, sellers can gain by combining cash with securities that are more information sensitive than equities.

Mortgage Lock‐In, Mobility, and Labor Reallocation

Published: 10/20/2024,  Volume: 79,  Issue: 6  |  DOI: 10.1111/jofi.13398  |  Cited by: 26

JULIA FONSECA, LU LIU

We study the impact of rising mortgage rates on mobility and labor reallocation. Using individual‐level credit record data and variation in the timing of mortgage origination, we show that a 1 percentage point decline in the difference between mortgage rates locked in at origination and current rates reduces moving by 9% overall and 16% between 2022 and 2024, and this relationship is asymmetric. Mortgage lock‐in also dampens flows in and out of self‐employment and the responsiveness to shocks to nearby employment opportunities that require moving, measured as wage growth within a 50‐ to 150‐mile ring and instrumented with a shift‐share instrument.

False (and Missed) Discoveries in Financial Economics

Published: 6/16/2020,  Volume: 75,  Issue: 5  |  DOI: 10.1111/jofi.12951  |  Cited by: 104

CAMPBELL R. HARVEY, YAN LIU

Multiple testing plagues many important questions in finance such as fund and factor selection. We propose a new way to calibrate both Type I and Type II errors. Next, using a double‐bootstrap method, we establish a t ‐statistic hurdle that is associated with a specific false discovery rate (e.g., 5%). We also establish a hurdle that is associated with a certain acceptable ratio of misses to false discoveries (Type II error scaled by Type I error), which effectively allows for differential costs of the two types of mistakes. Evaluating current methods, we find that they lack power to detect outperforming managers.

Luck versus Skill in the Cross Section of Mutual Fund Returns: Reexamining the Evidence

Published: 4/17/2022,  Volume: 77,  Issue: 3  |  DOI: 10.1111/jofi.13123  |  Cited by: 39

CAMPBELL R. HARVEY, YAN LIU

While Kosowski et al. (2006, Journal of Finance 61, 2551–2595) and Fama and French (2010, Journal of Finance 65, 1915–1947) both evaluate whether mutual funds outperform, their conclusions are very different. We reconcile their findings. We show that the Fama‐French method suffers from an undersampling problem that leads to a failure to reject the null hypothesis of zero alpha, even when some funds generate economically large risk‐adjusted returns. In contrast, Kosowski et al. substantially overreject the null hypothesis, even when all funds have a zero alpha. We present a novel bootstrapping approach that should be useful to future researchers choosing between the two approaches.

A Variance‐Ratio Test of Random Walks in Foreign Exchange Rates

Published: 6/1991,  Volume: 46,  Issue: 2  |  DOI: 10.1111/j.1540-6261.1991.tb02686.x  |  Cited by: 107

CHRISTINA Y. LIU, JIA HE

The separate variance‐ratio tests under homoscedasticity and heteroscedasticity both provide evidence rejecting the random walk hypothesis, using five pairs of weekly nominal exchange rate series over the period from August 7, 1974 to March 29, 1989. The rejections cast doubt on the random walk hypothesis in exchange rates, which has received support in the existing literature. Furthermore, since the rejections are robust to heteroscedasticity, they suggest autocorelations of weekly increments in the nominal exchange rate series, which may be consistent with the exchange rate overshooting or undershooting phenomenon.

Common Risk Factors in Cryptocurrency

Published: 2/24/2022,  Volume: 77,  Issue: 2  |  DOI: 10.1111/jofi.13119  |  Cited by: 562

YUKUN LIU, ALEH TSYVINSKI, XI WU

We find that three factors—cryptocurrency market, size, and momentum—capture the cross‐sectional expected cryptocurrency returns. We consider a comprehensive list of price‐ and market‐related return predictors in the stock market and construct their cryptocurrency counterparts. Ten cryptocurrency characteristics form successful long‐short strategies that generate sizable and statistically significant excess returns, and we show that all of these strategies are accounted for by the cryptocurrency three‐factor model. Lastly, we examine potential underlying mechanisms of the cryptocurrency size and momentum effects.

Private and Public Merger Waves

Published: 9/10/2013,  Volume: 68,  Issue: 5  |  DOI: 10.1111/jofi.12055  |  Cited by: 221

VOJISLAV MAKSIMOVIC, GORDON PHILLIPS, LIU YANG

We document that public firms participate more than private firms as buyers and sellers of assets in merger waves and their participation is affected more by credit spreads and aggregate market valuation. Public firm acquisitions realize higher gains in productivity, particularly for on‐the‐wave acquisitions and when the acquirer's stock is liquid and highly valued. Our results are not driven solely by public firms' better access to capital. Using productivity data from early in the firm's life, we find that better private firms subsequently select to become public. Initial size and productivity predict asset purchases and sales 10 and more years later.

Financial Markets, the Real Economy, and Self‐Fulfilling Uncertainties

Published: 3/27/2019,  Volume: 74,  Issue: 3  |  DOI: 10.1111/jofi.12764  |  Cited by: 65

JESS BENHABIB, XUEWEN LIU, PENGFEI WANG

We develop a model of informational interdependence between financial markets and the real economy, linking economic uncertainty to information production and aggregate economic activities in general equilibrium. The mutual learning between financial markets and the real economy creates a strategic complementarity in their information production, leading to self‐fulfilling surges in economic uncertainties. In a dynamic setting, our model characterizes self‐fulfilling uncertainty traps with two steady‐state equilibria and a two‐stage economic crisis in transitional dynamics.

Before an Analyst Becomes an Analyst: Does Industry Experience Matter?

Published: 3/21/2017,  Volume: 72,  Issue: 2  |  DOI: 10.1111/jofi.12466  |  Cited by: 309

DANIEL BRADLEY, SINAN GOKKAYA, XI LIU

Using hand‐collected biographical information on financial analysts from 1983 to 2011, we find that analysts making forecasts on firms in industries related to their preanalyst experience have better forecast accuracy, evoke stronger market reactions to earning revisions, and are more likely to be named Institutional Investor all‐stars. Plausibly exogenous losses of analysts with related industry experience have real financial market implications—changes in firms’ information asymmetry and price reactions are significantly larger than those of other analysts. Overall, industry expertise acquired from preanalyst work experience is valuable to analysts, consistent with the emphasis placed on their industry knowledge by institutional investors.

Institutional Investor Attention

Published: 1/16/2026,  Volume: 81,  Issue: 2  |  DOI: 10.1111/jofi.70009  |  Cited by: 5

ALAN KWAN, YUKUN LIU, BEN MATTHIES

Using data on Internet news reading, we measure fund‐level attention to both aggregate and firm‐specific news and relate it to fund portfolio allocation decisions. In the time series, we find that funds shift attention toward macroeconomic news during periods of high aggregate volatility. Those funds that exhibit stronger attention‐reallocation patterns earn higher future returns. In the cross‐section of fund portfolios, fund attention is positively related to stock holdings. Furthermore, fund attention to a stock increases the value‐add of that position to the fund's performance. This relationship is stronger using fund attention to more value‐relevant news articles.

Dynamic Asset Allocation with Event Risk

Published: 2/2003,  Volume: 58,  Issue: 1  |  DOI: 10.1111/1540-6261.00523  |  Cited by: 336

Jun Liu, Francis A. Longstaff, Jun Pan

Major events often trigger abrupt changes in stock prices and volatility. We study the implications of jumps in prices and volatility on investment strategies. Using the event‐risk framework of Duffie, Pan, and Singleton (2000), we provide analytical solutions to the optimal portfolio problem. Event risk dramatically affects the optimal strategy. An investor facing event risk is less willing to take leveraged or short positions. The investor acts as if some portion of his wealth may become illiquid and the optimal strategy blends both dynamic and buy‐and‐hold strategies. Jumps in prices and volatility both have important effects.

Privacy and Team Incentives

Published: 10/15/2025,  Volume: 80,  Issue: 6  |  DOI: 10.1111/jofi.13496  |  Cited by: 0

ANDREA M. BUFFA, QING LIU, LUCY WHITE

Real‐world contracts are typically private, observed only by their direct signatories, so agents working together are vulnerable to the principal opportunistically reducing other agents' incentives. The principal can mitigate this commitment problem by giving the most skilled agent a budget and delegating authority to write other agents' contracts. This endogenous hierarchy, never optimal with public contracts, raises effort, output, and compensation but allows rent extraction. The principal prefers it when contracts are opaque enough, skill is sufficiently heterogeneous across agents, and joint output is sensitive enough to effort. Our model provides novel predictions for the structure of banking syndicates.

Detecting Informed Trading Risk from Undercutting Activity

Published: 6/1/2026,  Volume: 81,  Issue: 4  |  DOI: 10.1111/jofi.70047  |  Cited by: 0

YASHAR H. BARARDEHI, PETER DIXON, QIYU LIU

We introduce a simple measure of informed trading risk, , the residual to liquidity quote‐improvement‐to‐deterioration ratio times . When facing with increased informed trading risk, liquidity providers compete less to provide liquidity, reducing their undercutting activity. Reductions in undercutting leave footprints in trade and quote data that are captured by . Unlike prior measures, is easy to construct, can be computed intraday, and is orthogonal to liquidity. The measure outperforms prominent existing alternatives in reflecting the extent of information asymmetry before earnings announcements, predicting unscheduled press releases, and identifying informed trading spillovers around them.

Underreaction to Dividend Reductions and Omissions?

Published: 4/2008,  Volume: 63,  Issue: 2  |  DOI: 10.1111/j.1540-6261.2008.01337.x  |  Cited by: 40

YI LIU, SAMUEL H. SZEWCZYK, ZAHER ZANTOUT

Using a sample of 2,337 cash dividend reduction or omission announcements over the 1927 to 1999 period, this study reports significant negative post‐announcement long‐term abnormal returns, which last 1 year only. However, this long‐term abnormal performance is driven by the post‐earnings‐announcement drift. After controlling for the earnings performance and the skewness of buy‐and‐hold abnormal returns, there is no compelling evidence of a post‐dividend‐reduction or post‐dividend‐omission price drift.

Marginal Q

Published: 8/19/2026,  Volume: ,  Issue:   |  DOI: 10.1111/jofi.70074  |  Cited by: 0

VITO D. GALA, JOAO F. GOMES, TONG LIU

We propose a new method to estimate the marginal value of capital under minimal assumptions. By combining asset prices with fundamentals, our method provides a quasi‐model‐free marginal q together with a simple correction for measurement error in (average) Tobin's Q using linear regressions. Marginal q yields plausible and robust estimates of adjustment costs and investment sensitivities to fundamentals. The widening gap between marginal q and Tobin's Q is driven primarily by market power and intangible capital. Our novel findings strongly support the neoclassical theory of investment and challenge the widespread use of Tobin's Q as proxy for investment opportunities.

Reference‐Dependent Preferences and Sentiment‐Driven Asset Prices

Published: 8/22/2026,  Volume: ,  Issue:   |  DOI: 10.1111/jofi.70079  |  Cited by: 1

JESS BENHABIB, ZHAORUI LI, XUEWEN LIU, PENGFEI WANG

This paper studies asset pricing under expectations‐based reference‐dependent preferences in a general equilibrium framework. We show that reference‐dependent preferences can generate self‐fulfilling risk panics, producing sentiment‐driven asset price fluctuations through a feedback loop between current prices and perceived future downside risk—dynamics impossible under standard expected utility. The model helps explain empirical puzzles including (i) excess volatility, (ii) asymmetric volatility, (iii) asymmetric sentiment over the business cycle, (iv) excess asset price comovement, and (v) weak correlations between stock returns and economic fundamentals, alongside a sizable equity premium. Additional empirical evidence based on closed‐end fund discounts and quantitative analysis support the theory.

CEO Stress, Aging, and Death

Published: 10/7/2025,  Volume: 80,  Issue: 6  |  DOI: 10.1111/jofi.13497  |  Cited by: 4

MARK BORGSCHULTE, MARIUS GUENZEL, CANYAO LIU, ULRIKE MALMENDIER

We assess the long‐term effects of managerial stress on aging and mortality. Using a difference‐in‐differences design, we apply neural network–based machine‐learning techniques to CEOs' facial images and show that exposure to industry distress shocks during the Great Recession produces visible signs of aging. We estimate a one‐year increase in “apparent” age. Moreover, using data on CEOs since the mid‐1970s, we estimate a 1.1‐year decrease in life expectancy after an industry distress shock, but a two‐year increase when antitakeover laws insulate CEOs from market discipline. The estimated health costs are significant, both in absolute terms and relative to other health risks.

Thirty Years of Change: The Evolution of Classified Boards

Published: 8/22/2025,  Volume: 80,  Issue: 5  |  DOI: 10.1111/jofi.13485  |  Cited by: 18

SCOTT GUERNSEY, FENG GUO, TINGTING LIU, MATTHEW SERFLING

Based on a comprehensive data set of classified (staggered) boards covering nearly all U.S. public firms from 1991 to 2020, we show that contrary to conventional wisdom, the use of classified boards remains widespread. Moreover, classified board usage over a firm's life cycle depends significantly on the decade the firm matured or year it went public. While classified boards were rarely removed in the 1990s, firms became more likely to declassify as they matured during the following decades. Decreased collective action costs and increased innovation‐related investments, institutional ownership, and scrutiny of governance contributed to this more dynamic adjustment.

Asset Pricing with Cohort‐Based Trading in MBS Markets

Published: 10/6/2022,  Volume: 77,  Issue: 6  |  DOI: 10.1111/jofi.13180  |  Cited by: 16

NICOLA FUSARI, WEI LI, HAOYANG LIU, ZHAOGANG SONG

Agency mortgage‐backed securities (MBSs) with diverse characteristics are traded in parallel through individualized specified pool (SP) contracts and standardized to‐be‐announced (TBA) contracts with delivery flexibility. This parallel trading environment generates distinctive effects on MBS pricing and trading: (i) Although cheapest‐to‐deliver (CTD) issues are present in TBA trading and absent from SP trading by design, MBS heterogeneity associated with CTD discounts affects SP yields positively, with the effect stronger for lower‐value SPs; (ii) high selling pressure amplifies the effects of MBS heterogeneity on SP yields; and (iii) greater MBS heterogeneity dampens SP and TBA trading activities but increases their ratio.

Individual Investor Trading and Return Patterns around Earnings Announcements

Published: 3/27/2012,  Volume: 67,  Issue: 2  |  DOI: 10.1111/j.1540-6261.2012.01727.x  |  Cited by: 374

RON KANIEL, SHUMING LIU, GIDEON SAAR, SHERIDAN TITMAN

This paper provides evidence of informed trading by individual investors around earnings announcements using a unique data set of NYSE stocks. We show that intense aggregate individual investor buying (selling) predicts large positive (negative) abnormal returns on and after earnings announcement dates. We decompose abnormal returns following the event into information and liquidity provision components, and show that about half of the returns can be attributed to private information. We also find that individuals trade in both return‐contrarian and news‐contrarian manners after earnings announcements. The latter behavior has the potential to slow the adjustment of prices to earnings news.

Are Analyst Short‐Term Trade Ideas Valuable?

Published: 6/2022,  Volume: 77,  Issue: 3  |  DOI: 10.1111/jofi.13130  |  Cited by: 24

JUSTIN BIRRU, SINAN GOKKAYA, XI LIU, RENÉ M. STULZ

Short‐term trade ideas are a component of analyst research highly valued by institutional investors. Using a novel and comprehensive database, we find that trade ideas have a stock price impact at least as large as recommendation and target price changes. Trade ideas based on expectations of future events are more informative than those identifying incomplete incorporation of past information in stock prices. Analysts with better access to a firm's management produce better trade ideas. Institutional investors trade in the direction of trade ideas. Investors following trade ideas can earn significant abnormal returns, consistent with analysts possessing valuable short‐term stock‐picking skills.

Pledgeability and Asset Prices: Evidence from the Chinese Corporate Bond Markets

Published: 7/29/2023,  Volume: 78,  Issue: 5  |  DOI: 10.1111/jofi.13266  |  Cited by: 72

HUI CHEN, ZHUO CHEN, ZHIGUO HE, JINYU LIU, RENGMING XIE

We provide causal evidence on the value of asset pledgeability by exploiting a unique feature of Chinese corporate bond markets: bonds with identical fundamentals are traded on two segmented markets with different rules for repo transactions. Using a policy shock that rendered AA+ and AA bonds ineligible for repo on one market only, we compare how bond prices changed across markets and rating classes around this event. When the haircut increases from 0% to 100%, bond yields increase by 39 bps to 85 bps. These estimates help us infer the magnitude of the shadow cost of capital in China.

Securitization and Capital Structure in Nonfinancial Firms: An Empirical Investigation

Published: 7/18/2014,  Volume: 69,  Issue: 4  |  DOI: 10.1111/jofi.12128  |  Cited by: 59

MICHAEL LEMMON, LAURA XIAOLEI LIU, MIKE QINGHAO MAO, GREG NINI

Contrary to recent accounts of off‐balance‐sheet securitization by financial firms, we show that asset securitization by nonfinancial firms provides a valuable form of financing for shareholders without harming debtholders. Using data from firms’ SEC filings, we find that securitization is attractive to firms in the middle of the credit quality distribution, which are the firms with the most to gain. Upon initiation, firms experience positive abnormal stock returns and zero abnormal bond returns, and largely use the securitization proceeds to repay existing debt. Securitization minimizes financing costs by reducing expected bankruptcy costs and providing access to segmented credit markets.

Liquidity Premia and Transaction Costs

Published: 9/4/2007,  Volume: 62,  Issue: 5  |  DOI: 10.1111/j.1540-6261.2007.01277.x  |  Cited by: 139

BONG‐GYU JANG, HYENG KEUN KOO, HONG LIU, MARK LOEWENSTEIN

Standard literature concludes that transaction costs only have a second‐order effect on liquidity premia. We show that this conclusion depends crucially on the assumption of a constant investment opportunity set. In a regime‐switching model in which the investment opportunity set varies over time, we explicitly characterize the optimal consumption and investment strategy. In contrast to the standard literature, we find that transaction costs can have a first‐order effect on liquidity premia. However, with reasonably calibrated parameters, the presence of transaction costs still cannot fully explain the equity premium puzzle.

The Impact of Minority Representation at Mortgage Lenders

Published: 2/11/2025,  Volume: 80,  Issue: 2  |  DOI: 10.1111/jofi.13428  |  Cited by: 24

W. SCOTT FRAME, RUIDI HUANG, ERICA XUEWEI JIANG, YEONJOON LEE, WILL SHUO LIU, ERIK J. MAYER, ADI SUNDERAM

We study links between the labor market for loan officers and access to mortgage credit. Using novel data matching mortgage applications to loan officers, we find that minorities are underrepresented among loan officers. Minority borrowers are less likely to complete mortgage applications, have completed applications approved, and to ultimately take up a loan. These disparities are reduced when minority borrowers work with minority loan officers. These pairings also lead to lower default rates, suggesting minority loan officers have an informational advantage with minority borrowers. Our results suggest minority underrepresentation among loan officers reduces minority borrowers’ access to credit.

Nonstandard Errors

Published: 4/17/2024,  Volume: 79,  Issue: 3  |  DOI: 10.1111/jofi.13337  |  Cited by: 106

ALBERT J. MENKVELD, ANNA DREBER, FELIX HOLZMEISTER, JUERGEN HUBER, MAGNUS JOHANNESSON, MICHAEL KIRCHLER, SEBASTIAN NEUSÜß, MICHAEL RAZEN, UTZ WEITZEL, DAVID ABAD‐DÍAZ, MENACHEM (MENI) ABUDY, TOBIAS ADRIAN, YACINE AIT‐SAHALIA, OLIVIER AKMANSOY, JAMIE T. ALCOCK, VITALI ALEXEEV, ARASH ALOOSH, LIVIA AMATO, DIEGO AMAYA, JAMES J. ANGEL, ALEJANDRO T. AVETIKIAN, AMADEUS BACH, EDWIN BAIDOO, GAETAN BAKALLI, LI BAO, ANDREA BARBON, OKSANA BASHCHENKO, PARAMPREET C. BINDRA, GEIR H. BJØNNES, JEFFREY R. BLACK, BERNARD S. BLACK, DIMITAR BOGOEV, SANTIAGO BOHORQUEZ CORREA, OLEG BONDARENKO, CHARLES S. BOS, CIRIL BOSCH‐ROSA, ELIE BOURI, CHRISTIAN BROWNLEES, ANNA CALAMIA, VIET NGA CAO, GUNTHER CAPELLE‐BLANCARD, LAURA M. CAPERA ROMERO, MASSIMILIANO CAPORIN, ALLEN CARRION, TOLGA CASKURLU, BIDISHA CHAKRABARTY, JIAN CHEN, MIKHAIL CHERNOV, WILLIAM CHEUNG, LUDWIG B. CHINCARINI, TARUN CHORDIA, SHEUNG‐CHI CHOW, BENJAMIN CLAPHAM, JEAN‐EDOUARD COLLIARD, CAROLE COMERTON‐FORDE, EDWARD CURRAN, THONG DAO, WALE DARE, RYAN J. DAVIES, RICCARDO DE BLASIS, GIANLUCA F. DE NARD, FANY DECLERCK, OLEG DEEV, HANS DEGRYSE, SOLOMON Y. DEKU, CHRISTOPHE DESAGRE, MATHIJS A. VAN DIJK, CHUKWUMA DIM, THOMAS DIMPFL, YUN JIANG DONG, PHILIP A. DRUMMOND, TOM DUDDA, TEODOR DUEVSKI, ARIADNA DUMITRESCU, TEODOR DYAKOV, ANNE HAUBO DYHRBERG, MICHAŁ DZIELIŃSKI, ASLI EKSI, IZIDIN EL KALAK, SASKIA TER ELLEN, NICOLAS EUGSTER, MARTIN D. D. EVANS, MICHAEL FARRELL, ESTER FELEZ‐VINAS, GERARDO FERRARA, EL MEHDI FERROUHI, ANDREA FLORI, JONATHAN T. FLUHARTY‐JAIDEE, SEAN D. V. FOLEY, KINGSLEY Y. L. FONG, THIERRY FOUCAULT, TATIANA FRANUS, FRANCESCO FRANZONI, BART FRIJNS, MICHAEL FRÖMMEL, SERVANNA M. FU, SASCHA C. FÜLLBRUNN, BAOQING GAN, GE GAO, THOMAS P. GEHRIG, ROLAND GEMAYEL, DIRK GERRITSEN, JAVIER GIL‐BAZO, DUDLEY GILDER, LAWRENCE R. GLOSTEN, THOMAS GOMEZ, ARSENY GORBENKO, JOACHIM GRAMMIG, VINCENT GRÉGOIRE, UFUK GÜÇBILMEZ, BJÖRN HAGSTRÖMER, JULIEN HAMBUCKERS, ERIK HAPNES, JEFFREY H. HARRIS, LAWRENCE HARRIS, SIMON HARTMANN, JEAN‐BAPTISTE HASSE, NIKOLAUS HAUTSCH, XUE‐ZHONG (TONY) HE, DAVIDSON HEATH, SIMON HEDIGER, TERRENCE HENDERSHOTT, ANN MARIE HIBBERT, ERIK HJALMARSSON, SETH A. HOELSCHER, PETER HOFFMANN, CRAIG W. HOLDEN, ALEX R. HORENSTEIN, WENQIAN HUANG, DA HUANG, CHRISTOPHE HURLIN, KONRAD ILCZUK, ALEXEY IVASHCHENKO, SUBRAMANIAN R. IYER, HOSSEIN JAHANSHAHLOO, NAJI JALKH, CHARLES M. JONES, SIMON JURKATIS, PETRI JYLHÄ, ANDREAS T. KAECK, GABRIEL KAISER, ARZÉ KARAM, EGLE KARMAZIENE, BERNHARD KASSNER, MARKKU KAUSTIA, EKATERINA KAZAK, FEARGHAL KEARNEY, VINCENT VAN KERVEL, SAAD A. KHAN, MARTA K. KHOMYN, TONY KLEIN, OLGA KLEIN, ALEXANDER KLOS, MICHAEL KOETTER, ALEKSEY KOLOKOLOV, ROBERT A. KORAJCZYK, ROMAN KOZHAN, JAN P. KRAHNEN, PAUL KUHLE, AMY KWAN, QUENTIN LAJAUNIE, F. Y. ERIC C. LAM, MARIE LAMBERT, HUGUES LANGLOIS, JENS LAUSEN, TOBIAS LAUTER, MARKUS LEIPPOLD, VLADIMIR LEVIN, YIJIE LI, HUI LI, CHEE YOONG LIEW, THOMAS LINDNER, OLIVER LINTON, JIACHENG LIU, ANQI LIU, GUILLERMO LLORENTE, MATTHIJS LOF, ARIEL LOHR, FRANCIS LONGSTAFF, ALEJANDRO LOPEZ‐LIRA, SHAWN MANKAD, NICOLA MANO, ALEXIS MARCHAL, CHARLES MARTINEAU, FRANCESCO MAZZOLA, DEBRAH MELOSO, MICHAEL G. MI, ROXANA MIHET, VIJAY MOHAN, SOPHIE MOINAS, DAVID MOORE, LIANGYI MU, DMITRIY MURAVYEV, DERMOT MURPHY, GABOR NESZVEDA, CHRISTIAN NEUMEIER, ULF NIELSSON, MAHENDRARAJAH NIMALENDRAN, SVEN NOLTE, LARS L. NORDEN, PETER O'NEILL, KHALED OBAID, BERNT A. ØDEGAARD, PER ÖSTBERG, EMILIANO PAGNOTTA, MARCUS PAINTER, STEFAN PALAN, IMON J. PALIT, ANDREAS PARK, ROBERTO PASCUAL, PAOLO PASQUARIELLO, LUBOS PASTOR, VINAY PATEL, ANDREW J. PATTON, NEIL D. PEARSON, LORIANA PELIZZON, MICHELE PELLI, MATTHIAS PELSTER, CHRISTOPHE PÉRIGNON, CAMERON PFIFFER, RICHARD PHILIP, TOMÁŠ PLÍHAL, PUNEET PRAKASH, OLIVER‐ALEXANDER PRESS, TINA PRODROMOU, MARCEL PROKOPCZUK, TALIS PUTNINS, YA QIAN, GAURAV RAIZADA, DAVID RAKOWSKI, ANGELO RANALDO, LUCA REGIS, STEFAN REITZ, THOMAS RENAULT, REX W. RENJIE, ROBERTO RENO, STEVEN J. RIDDIOUGH, KALLE RINNE, PAUL RINTAMÄKI, RYAN RIORDAN, THOMAS RITTMANNSBERGER, IÑAKI RODRÍGUEZ LONGARELA, DOMINIK ROESCH, LAVINIA ROGNONE, BRIAN ROSEMAN, IOANID ROŞU, SAURABH ROY, NICOLAS RUDOLF, STEPHEN R. RUSH, KHALADDIN RZAYEV, ALEKSANDRA A. RZEŹNIK, ANTHONY SANFORD, HARIKUMAR SANKARAN, ASANI SARKAR, LUCIO SARNO, OLIVIER SCAILLET, STEFAN SCHARNOWSKI, KLAUS R. SCHENK‐HOPPÉ, ANDREA SCHERTLER, MICHAEL SCHNEIDER, FLORIAN SCHROEDER, NORMAN SCHÜRHOFF, PHILIPP SCHUSTER, MARCO A. SCHWARZ, MARK S. SEASHOLES, NORMAN J. SEEGER, OR SHACHAR, ANDRIY SHKILKO, JESSICA SHUI, MARIO SIKIC, GIORGIA SIMION, LEE A. SMALES, PAUL SÖDERLIND, ELVIRA SOJLI, KONSTANTIN SOKOLOV, JANTJE SÖNKSEN, LAIMA SPOKEVICIUTE, DENITSA STEFANOVA, MARTI G. SUBRAHMANYAM, BARNABAS SZASZI, OLEKSANDR TALAVERA, YUEHUA TANG, NICK TAYLOR, WING WAH THAM, ERIK THEISSEN, JULIAN THIMME, IAN TONKS, HAI TRAN, LUCA TRAPIN, ANDERS B. TROLLE, M. ANDREEA VADUVA, GIORGIO VALENTE, ROBERT A. VAN NESS, AURELIO VASQUEZ, THANOS VEROUSIS, PATRICK VERWIJMEREN, ANDERS VILHELMSSON, GRIGORY VILKOV, VLADIMIR VLADIMIROV, SEBASTIAN VOGEL, STEFAN VOIGT, WOLF WAGNER, THOMAS WALTHER, PATRICK WEISS, MICHEL VAN DER WEL, INGRID M. WERNER, P. JOAKIM WESTERHOLM, CHRISTIAN WESTHEIDE, HANS C. WIKA, EVERT WIPPLINGER, MICHAEL WOLF, CHRISTIAN C. P. WOLFF, LEONARD WOLK, WING‐KEUNG WONG, JAN WRAMPELMEYER, ZHEN‐XING WU, SHUO XIA, DACHENG XIU, KE XU, CAIHONG XU, PRADEEP K. YADAV, JOSÉ YAGÜE, CHENG YAN, ANTTI YANG, WOONGSUN YOO, WENJIA YU, YIHE YU, SHIHAO YU, BART Z. YUESHEN, DARYA YUFEROVA, MARCIN ZAMOJSKI, ABALFAZL ZAREEI, STEFAN M. ZEISBERGER, LU ZHANG, S. SARAH ZHANG, XIAOYU ZHANG, LU ZHAO, ZHUO ZHONG, Z. IVY ZHOU, CHEN ZHOU, XINGYU S. ZHU, MARIUS ZOICAN, REMCO ZWINKELS

In statistics, samples are drawn from a population in a data‐generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence‐generating process (EGP). We claim that EGP variation across researchers adds uncertainty—nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer‐review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.