The Journal of Finance

The Total Cost of Corporate Borrowing in the Loan Market: Don't Ignore the Fees

Published: 5/11/2016,  Volume: 71,  Issue: 3  |  DOI: 10.1111/jofi.12281  |  Cited by: 337

TOBIAS BERG, ANTHONY SAUNDERS, SASCHA STEFFEN

More than 80% of U.S. syndicated loans contain at least one fee type and contracts typically specify a menu of spreads and fee types. We test the predictions of existing theories on the main purposes of fees and provide supporting evidence that: (1) fees are used to price options embedded in loan contracts such as the drawdown option for credit lines and the cancellation option in term loans, and (2) fees are used to screen borrowers based on the likelihood of exercising these options. We also propose a new total‐cost‐of‐borrowing measure that includes various fees charged by lenders.

Asset Pricing and Sports Betting

Published: 10/7/2021,  Volume: 76,  Issue: 6  |  DOI: 10.1111/jofi.13082  |  Cited by: 53

TOBIAS J. MOSKOWITZ

Sports betting markets offer a novel laboratory to test theories of cross‐sectional asset pricing anomalies. Two features of this market—no systematic risk and terminal values exogenous to betting activity—evade the joint hypothesis problem, allowing mispricing to be detected. Examining a large and diverse set of liquid betting contracts, I find strong evidence of momentum, consistent with delayed overreaction and inconsistent with underreaction and rational pricing. Returns are a fraction of those in financial markets and fail to overcome transactions costs, preventing arbitrage from eliminating them. An insight from betting also predicts value and momentum returns in U.S. equities.

Discussion

Published: 8/2000,  Volume: 55,  Issue: 4  |  DOI: 10.1111/0022-1082.00264  |  Cited by: 123

Tobias J. Moskowitz

Stock Returns and Volatility: Pricing the Short‐Run and Long‐Run Components of Market Risk

Published: 11/11/2008,  Volume: 63,  Issue: 6  |  DOI: 10.1111/j.1540-6261.2008.01419.x  |  Cited by: 364

TOBIAS ADRIAN, JOSHUA ROSENBERG

We explore the cross‐sectional pricing of volatility risk by decomposing equity market volatility into short‐ and long‐run components. Our finding that prices of risk are negative and significant for both volatility components implies that investors pay for insurance against increases in volatility, even if those increases have little persistence. The short‐run component captures market skewness risk, which we interpret as a measure of the tightness of financial constraints. The long‐run component relates to business cycle risk. Furthermore, a three‐factor pricing model with the market return and the two volatility components compares favorably to benchmark models.

The Political Economy of Financial Regulation: Evidence from U.S. State Usury Laws in the 19th Century

Published: 5/7/2010,  Volume: 65,  Issue: 3  |  DOI: 10.1111/j.1540-6261.2010.01560.x  |  Cited by: 164

EFRAIM BENMELECH, TOBIAS J. MOSKOWITZ

Financial regulation was as hotly debated a political issue in the 19th century as it is today. We study the political economy of state usury laws in 19th century America. Exploiting the wide variation in regulation, enforcement, and economic conditions across states and time, we find that usury laws when binding reduce credit and economic activity, especially for smaller firms. We examine the motives of regulation and find that usury laws coincide with other economic and political policies favoring wealthy political incumbents, particularly when they have more voting power. The evidence suggests financial regulation is driven by private interests capturing rents from others rather than public interests protecting the underserved.

Do Industries Explain Momentum?

Published: 8/1999,  Volume: 54,  Issue: 4  |  DOI: 10.1111/0022-1082.00146  |  Cited by: 1391

Tobias J. Moskowitz, Mark Grinblatt

This paper documents a strong and prevalent momentum effect in industry components of stock returns which accounts for much of the individual stock momentum anomaly. Specifically, momentum investment strategies, which buy past winning stocks and sell past losing stocks, are significantly less profitable once we control for industry momentum. By contrast, industry momentum investment strategies, which buy stocks from past winning industries and sell stocks from past losing industries, appear highly profitable, even after controlling for size, book‐to‐market equity, individual stock momentum, the cross‐sectional dispersion in mean returns, and potential microstructure influences.

Catastrophic Risk and Credit Markets

Published: 3/13/2009,  Volume: 64,  Issue: 2  |  DOI: 10.1111/j.1540-6261.2009.01446.x  |  Cited by: 114

MARK J. GARMAISE, TOBIAS J. MOSKOWITZ

We provide a model of the effects of catastrophic risk on real estate financing and prices and demonstrate that insurance market imperfections can restrict the supply of credit for catastrophe‐susceptible properties. Using unique micro‐level data, we find that earthquake risk decreased commercial real estate bank loan provision by 22% in California properties in the 1990s, with more severe effects in African–American neighborhoods. We show that the 1994 Northridge earthquake had only a short‐term disruptive effect. Our basic findings are confirmed for hurricane risk, and our model and empirical work have implications for terrorism and political perils.

Bank Mergers and Crime: The Real and Social Effects of Credit Market Competition

Published: 3/9/2006,  Volume: 61,  Issue: 2  |  DOI: 10.1111/j.1540-6261.2006.00847.x  |  Cited by: 208

MARK J. GARMAISE, TOBIAS J. MOSKOWITZ

Using a unique sample of commercial loans and mergers between large banks, we provide micro‐level (within‐county) evidence linking credit conditions to economic development and find a spillover effect on crime. Neighborhoods that experience more bank mergers are subject to higher interest rates, diminished local construction, lower prices, an influx of poorer households, and higher property crime in subsequent years. The elasticity of property crime with respect to merger‐induced banking concentration is 0.18. We show that these results are not likely due to reverse causation, and confirm the central findings using state branching deregulation to instrument for bank competition.

Financial Intermediaries and the Cross‐Section of Asset Returns

Published: 11/10/2014,  Volume: 69,  Issue: 6  |  DOI: 10.1111/jofi.12189  |  Cited by: 707

TOBIAS ADRIAN, ERKKO ETULA, TYLER MUIR

Financial intermediaries trade frequently in many markets using sophisticated models. Their marginal value of wealth should therefore provide a more informative stochastic discount factor (SDF) than that of a representative consumer. Guided by theory, we use shocks to the leverage of securities broker‐dealers to construct an intermediary SDF. Intuitively, deteriorating funding conditions are associated with deleveraging and high marginal value of wealth. Our single‐factor model prices size, book‐to‐market, momentum, and bond portfolios with an R2 of 77% and an average annual pricing error of 1%—performing as well as standard multifactor benchmarks designed to price these assets.

Home Bias at Home: Local Equity Preference in Domestic Portfolios

Published: 12/1999,  Volume: 54,  Issue: 6  |  DOI: 10.1111/0022-1082.00181  |  Cited by: 2326

Joshua D. Coval, Tobias J. Moskowitz

The strong bias in favor of domestic securities is a well‐documented characteristic of international investment portfolios, yet we show that the preference for investing close to home also applies to portfolios of domestic stocks. Specifically, U.S. investment managers exhibit a strong preference for locally headquartered firms, particularly small, highly levered firms that produce nontraded goods. These results suggest that asymmetric information between local and nonlocal investors may drive the preference for geographically proximate investments, and the relation between investment proximity and firm size and leverage may shed light on several well‐documented asset pricing anomalies.

Nonlinearity and Flight‐to‐Safety in the Risk‐Return Trade‐Off for Stocks and Bonds

Published: 6/4/2019,  Volume: 74,  Issue: 4  |  DOI: 10.1111/jofi.12776  |  Cited by: 152

TOBIAS ADRIAN, RICHARD K. CRUMP, ERIK VOGT

We document a highly significant, strongly nonlinear dependence of stock and bond returns on past equity market volatility as measured by the VIX. We propose a new estimator for the shape of the nonlinear forecasting relationship that exploits variation in the cross‐section of returns. The nonlinearities are mirror images for stocks and bonds, revealing flight‐to‐safety: expected returns increase for stocks when volatility increases from moderate to high levels while they decline for Treasuries. These findings provide support for dynamic asset pricing theories in which the price of risk is a nonlinear function of market volatility.

Beyond Basis Basics: Liquidity Demand and Deviations from the Law of One Price

Published: 12/25/2022,  Volume: 78,  Issue: 1  |  DOI: 10.1111/jofi.13198  |  Cited by: 24

TODD M. HAZELKORN, TOBIAS J. MOSKOWITZ, KAUSHIK VASUDEVAN

Deviations from the law of one price between futures and spot prices—the futures‐cash basis—capture information about liquidity demand for equity market exposure in global markets. We show that the basis comoves with dealer and investor futures positions, is contemporaneously positively correlated with futures and spot market returns, and negatively predicts futures and spot returns. These findings are consistent with the futures‐cash basis reflecting liquidity demand that is common to futures and cash equity markets. We find persistent supply‐demand imbalances for equity index exposure reflected in the basis, giving rise to an annual premium of 5% to 6%.

Testing Agency Theory with Entrepreneur Effort and Wealth

Published: 3/2/2005,  Volume: 60,  Issue: 2  |  DOI: 10.1111/j.1540-6261.2005.00739.x  |  Cited by: 207

MARIANNE P. BITLER, TOBIAS J. MOSKOWITZ, ANNETTE VISSING‐JØRGENSEN

We develop a principal‐agent model in an entrepreneurial setting and test the model's predictions using unique data on entrepreneurial effort and wealth in privately held firms. Accounting for unobserved firm heterogeneity using instrumental‐variables techniques, we find that entrepreneurial ownership shares increase with outside wealth and decrease with firm risk; effort increases with ownership; and effort increases firm performance. The magnitude of the effects in the cross‐section of firms suggests that agency costs may help explain why entrepreneurs concentrate large fractions of their wealth in firm equity.

Value and Momentum Everywhere

Published: 5/20/2013,  Volume: 68,  Issue: 3  |  DOI: 10.1111/jofi.12021  |  Cited by: 2086

CLIFFORD S. ASNESS, TOBIAS J. MOSKOWITZ, LASSE HEJE PEDERSEN

We find consistent value and momentum return premia across eight diverse markets and asset classes, and a strong common factor structure among their returns. Value and momentum returns correlate more strongly across asset classes than passive exposures to the asset classes, but value and momentum are negatively correlated with each other, both within and across asset classes. Our results indicate the presence of common global risks that we characterize with a three‐factor model. Global funding liquidity risk is a partial source of these patterns, which are identifiable only when examining value and momentum jointly across markets. Our findings present a challenge to existing behavioral, institutional, and rational asset pricing theories that largely focus on U.S. equities.

The Effects of Stock Lending on Security Prices: An Experiment

Published: 9/10/2013,  Volume: 68,  Issue: 5  |  DOI: 10.1111/jofi.12051  |  Cited by: 83

STEVEN N. KAPLAN, TOBIAS J. MOSKOWITZ, BERK A. SENSOY

We examine the impact of short selling by conducting a randomized stock lending experiment. Working with a large, anonymous money manager, we create an exogenous and sizeable shock to the supply of lendable shares by taking high loan fee stocks in the manager's portfolio and randomly making available and withholding stocks from the lending market. The experiment ran in two independent phases: the first, from September 5 to 18, 2008, with over $580 million of securities lent, and the second, from June 5 to September 30, 2009, with over $250 million of securities lent. While the supply shocks significantly reduce market lending fees and raise quantities, we find no evidence that returns, volatility, skewness, or bid–ask spreads are affected. The results provide novel evidence on the impact of shorting supply and do not indicate any adverse effects on stock prices from securities lending.

Long‐Run Stockholder Consumption Risk and Asset Returns

Published: 11/25/2009,  Volume: 64,  Issue: 6  |  DOI: 10.1111/j.1540-6261.2009.01507.x  |  Cited by: 276

CHRISTOPHER J. MALLOY, TOBIAS J. MOSKOWITZ, ANNETTE VISSING‐JØRGENSEN

We provide new evidence on the success of long‐run risks in asset pricing by focusing on the risks borne by stockholders . Exploiting microlevel household consumption data, we show that long‐run stockholder consumption risk better captures cross‐sectional variation in average asset returns than aggregate or nonstockholder consumption risk, and implies more plausible risk aversion estimates. We find that risk aversion around 10 can match observed risk premia for the wealthiest stockholders across sets of test assets that include the 25 Fama and French portfolios, the market portfolio, bond portfolios, and the entire cross‐section of stocks.

Pockets of Predictability: A Replication

Published: 8/25/2025,  Volume: 80,  Issue: 6  |  DOI: 10.1111/jofi.13484  |  Cited by: 6

NUSRET CAKICI, CHRISTIAN FIEBERG, TOBIAS NEUMAIER, THORSTEN PODDIG, ADAM ZAREMBA

Farmer, Schmidt, and Timmermann (FST) document time‐variation in market return predictability, identifying “pockets” of significant predictability through kernel regressions. However, our analysis reveals a critical discrepancy between the method outlined by FST and the code actually implemented. Instead of using a one‐sided kernel, which guarantees out‐of‐sample forecasts, they perform in‐sample estimation with a two‐sided kernel. As a result, future information leaks into the forecasting model, undermining its reliability. Rectifying this error qualitatively alters the findings, invalidating most conclusions of the FST study. Thus, attempts to exploit such “pockets”—should they exist—offer little help in forecasting market returns.

Nonstandard Errors

Published: 4/17/2024,  Volume: 79,  Issue: 3  |  DOI: 10.1111/jofi.13337  |  Cited by: 112

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.