The Journal of Finance

The Journal of Finance publishes leading research across all the major fields of finance. It is one of the most widely cited journals in academic finance, and in all of economics. Each of the six issues per year reaches over 8,000 academics, finance professionals, libraries, and government and financial institutions around the world. The journal is the official publication of The American Finance Association, the premier academic organization devoted to the study and promotion of knowledge about financial economics.

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Click or Call? Auction versus Search in the Over‐the‐Counter Market

Published: 1/19/2015,  Volume: 70,  Issue: 1  |  DOI: 10.1111/jofi.12164  |  Cited by: 183

TERRENCE HENDERSHOTT, ANANTH MADHAVAN

Over‐the‐counter (OTC) markets dominate trading in many asset classes. Will electronic trading displace traditional OTC “voice” trading? Can electronic and voice systems coexist? What types of securities and trades are best suited for electronic trading? We study these questions by focusing on an innovation in electronic trading technology that enables investors to simultaneously search many bond dealers. We show that periodic one‐sided electronic auctions are a viable and important source of liquidity even in inactively traded instruments. These mechanisms are a natural compromise between bilateral search in OTC markets and continuous double auctions in electronic limit order books.


Crossing Networks and Dealer Markets: Competition and Performance

Published: 10/2000,  Volume: 55,  Issue: 5  |  DOI: 10.1111/0022-1082.00281  |  Cited by: 183

Terrence Hendershott, Haim Mendelson

This paper studies the interaction between dealer markets and a relatively new form of exchange, passive crossing networks, where buyers and sellers trade directly with one another. We find that the crossing network is characterized by both positive (‘liquidity’) and negative (‘crowding’) externalities, and we analyze the effects of its introduction on the dealer market. Traders who use the dealer market as a ‘market of last resort’ can induce dealers to widen their spread and can lead to more efficient subsequent prices, but traders who only use the crossing network can provide a counterbalancing effect by reducing adverse selection and inventory holding costs.


Liquidity Externalities and Adverse Selection: Evidence from Trading after Hours

Published: 3/25/2004,  Volume: 59,  Issue: 2  |  DOI: 10.1111/j.1540-6261.2004.00646.x  |  Cited by: 136

Michael J. Barclay, Terrence Hendershott

This paper examines liquidity externalities by analyzing trading costs after hours. There is less than 1/20 as many trades per unit time after hours as during the trading day. The reduced trading activity results in substantially higher trading costs: quoted and effective spreads are three to four times larger than during the trading day. The higher spreads reflect greater adverse selection and order persistence, but not higher dealer profits. Because liquidity provision remains competitive after hours, the greater adverse selection and higher trading costs provide a direct measure of the magnitude of the liquidity externalities generated during the trading day.


Price Discovery without Trading: Evidence from Limit Orders

Published: 4/2/2019,  Volume: 74,  Issue: 4  |  DOI: 10.1111/jofi.12769  |  Cited by: 229

JONATHAN BROGAARD, TERRENCE HENDERSHOTT, RYAN RIORDAN

We analyze the contribution to price discovery of market and limit orders by high‐frequency traders (HFTs) and non‐HFTs. While market orders have a larger individual price impact, limit orders are far more numerous. This results in price discovery occurring predominantly through limit orders. HFTs submit the bulk of limit orders and these limit orders provide most of the price discovery. Submissions of limit orders and their contribution to price discovery fall with volatility due to changes in HFTs’ behavior. Consistent with adverse selection arising from faster reactions to public information, HFTs’ informational advantage is partially explained by public information.


Automation versus Intermediation: Evidence from Treasuries Going Off the Run

Published: 9/19/2006,  Volume: 61,  Issue: 5  |  DOI: 10.1111/j.1540-6261.2006.01061.x  |  Cited by: 113

MICHAEL J. BARCLAY, TERRENCE HENDERSHOTT, KENNETH KOTZ

This paper examines the choice of trading venue by dealers in U.S. Treasury securities to determine when services provided by human intermediaries are difficult to replicate in fully automated trading systems. When Treasury securities go “off the run” their trading volume drops by more than 90%. This decline in trading volume allows us to test whether intermediaries' knowledge of the market and its participants can uncover hidden liquidity and facilitate better matching of customer orders in less active markets. Consistent with this hypothesis, the market share of electronic intermediaries falls from 81% to 12% when securities go off the run.


Does Algorithmic Trading Improve Liquidity?

Published: 1/6/2011,  Volume: 66,  Issue: 1  |  DOI: 10.1111/j.1540-6261.2010.01624.x  |  Cited by: 1347

TERRENCE HENDERSHOTT, CHARLES M. JONES, ALBERT J. MENKVELD

Algorithmic trading (AT) has increased sharply over the past decade. Does it improve market quality, and should it be encouraged? We provide the first analysis of this question. The New York Stock Exchange automated quote dissemination in 2003, and we use this change in market structure that increases AT as an exogenous instrument to measure the causal effect of AT on liquidity. For large stocks in particular, AT narrows spreads, reduces adverse selection, and reduces trade‐related price discovery. The findings indicate that AT improves liquidity and enhances the informativeness of quotes.


Relationship Trading in Over‐the‐Counter Markets

Published: 12/22/2019,  Volume: 75,  Issue: 2  |  DOI: 10.1111/jofi.12864  |  Cited by: 141

TERRENCE HENDERSHOTT, DAN LI, DMITRY LIVDAN, NORMAN SCHÜRHOFF

We examine the network of trading relationships between insurers and dealers in the over‐the‐counter (OTC) corporate bond market. Regulatory data show that one‐third of insurers use a single dealer, whereas other insurers have large dealer networks. Execution prices are nonmonotone in network size, initially declining with more dealers but increasing once networks exceed 20 dealers. A model of decentralized trade in which insurers trade off the benefits of repeat business and faster execution quantitatively fits the distribution of insurers' network size and explains the price–network size relationship. Counterfactual analysis shows that regulations to unbundle trade and nontrade services can decrease welfare.


Competition among Trading Venues: Information and Trading on Electronic Communications Networks

Published: 11/7/2003,  Volume: 58,  Issue: 6  |  DOI: 10.1046/j.1540-6261.2003.00618.x  |  Cited by: 231

Michael J. Barclay, Terrence Hendershott, D. Timothy McCormick

AbstractThis paper explores the competition between two trading venues, Electronic Communication Networks (ECNs) and Nasdaq market makers. ECNs offer the advantages of anonymity and speed of execution, which attract informed traders. Thus, trades are more likely to occur on ECNs when information asymmetry is greater and when trading volume and stock‐return volatility are high. ECN trades have greater permanent price impacts and more private information is revealed through ECN trades than though market‐maker trades. However, ECN trades have higher ex ante trading costs because market makers can preference or internalize the less informed trades and offer them better executions.


Quote Competition in Corporate Bonds

Published: 5/22/2026,  Volume: 81,  Issue: 4  |  DOI: 10.1111/jofi.70048  |  Cited by: 1

TERRENCE HENDERSHOTT, DAN LI, DMITRY LIVDAN, NORMAN SCHÜRHOFF, KUMAR VENKATARAMAN

Dealer quotes in corporate bonds, though indicative, lower trading costs and increase trading volume. Dealers offering higher quality quotes attract more order flow and execute trades at favorable prices. Dealers advertise quotes to manage their inventories and attract orders from nonrelationship clients. However, quote competition is imperfect. The best quotes often fail to attract orders, and trade‐throughs are common. Nevertheless, quote competition is important as clients exploit quotes from other dealers in negotiations, forcing dealers with lower quality quotes to offer price improvements. Quoting is not a zero‐sum game, as more active bond‐level quoting leads to more bond‐level trading.


FINANCIAL DISINTERMEDIATION IN A MACROECONOMIC FRAMEWORK

Published: 9/1971,  Volume: 26,  Issue: 4  |  DOI: 10.1111/j.1540-6261.1971.tb00923.x  |  Cited by: 5

Patric H. Hendershott


REPLY*

Published: 9/1973,  Volume: 28,  Issue: 4  |  DOI: 10.1111/j.1540-6261.1973.tb01430.x  |  Cited by: 0

Patric H. Hendershott


Expectations, Surprises and Treasury Bill Rates: 1960–82

Published: 7/1984,  Volume: 39,  Issue: 3  |  DOI: 10.1111/j.1540-6261.1984.tb03657.x  |  Cited by: 3

PATRIC H. HENDERSHOTT

Changes in six‐month bill rates over semiannual periods in the 1960s and 1970s are successfully related to expected changes and to surprises. The latter include unanticipated changes in expected inflation, in the growth of industrial production and base money, and in inflation uncertainty. Estimation of the basic equation through the middle of 1983 does not suggest any change in structure. Moreover the equation “explains” 60 percent of the extraordinarily high level of real rates since late 1980, largely owing to an excess of unexpected net increases in anticipated inflation over actual increases.Our estimates provide some support for the expectations theory; there appears to be information content in six–month forward rates. While this content is swamped by the impact of surprises in equations explaining rate changes in terms of forward rates alone, the content is clear when proxies for the surprises are included in the equations.


THE FULL‐EMPLOYMENT INTEREST RATE AND THE NEUTRALIZED MONEY STOCK: COMMENT

Published: 3/1971,  Volume: 26,  Issue: 1  |  DOI: 10.1111/j.1540-6261.1971.tb00594.x  |  Cited by: 2

Patric H. Hendershott


THE STRUCTURE OF INTERNATIONAL INTEREST RATES: THE U.S. TREASURY BILL RATE AND THE EURODOLLAR DEPOSIT RATE

Published: 9/1967,  Volume: 22,  Issue: 3  |  DOI: 10.1111/j.1540-6261.1967.tb02980.x  |  Cited by: 32

Patric H. Hendershott


Time Variation in Liquidity: The Role of Market‐Maker Inventories and Revenues

Published: 1/13/2010,  Volume: 65,  Issue: 1  |  DOI: 10.1111/j.1540-6261.2009.01530.x  |  Cited by: 284

CAROLE COMERTON‐FORDE, TERRENCE HENDERSHOTT, CHARLES M. JONES, PAMELA C. MOULTON, MARK S. SEASHOLES

We show that market‐maker balance sheet and income statement variables explain time variation in liquidity, suggesting liquidity‐supplier financing constraints matter. Using 11 years of NYSE specialist inventory positions and trading revenues, we find that aggregate market‐level and specialist firm‐level spreads widen when specialists have large positions or lose money. The effects are nonlinear and most prominent when inventories are big or trading results have been particularly poor. These sensitivities are smaller after specialist firm mergers, consistent with deep pockets easing financing constraints. Finally, compared to low volatility stocks, the liquidity of high volatility stocks is more sensitive to inventories and losses.


A TAX CUT IN A MULTIPLE SECURITY MODEL: CROWDING OUT, PULLING IN AND THE TERM STRUCTURE OF INTEREST RATES*

Published: 9/1976,  Volume: 31,  Issue: 4  |  DOI: 10.1111/j.1540-6261.1976.tb01968.x  |  Cited by: 0

Patric H. Hendershott


RECENT DEVELOPMENT OF THE FINANCIAL SECTOR OF ECONOMETRIC MODELS*

Published: 3/1968,  Volume: 23,  Issue: 1  |  DOI: 10.1111/j.1540-6261.1968.tb02997.x  |  Cited by: 2

Patric H. Hendershott


POLICY AND STATISTICAL EXOGENEITY: REPLY

Published: 12/1976,  Volume: 31,  Issue: 5  |  DOI: 10.1111/j.1540-6261.1976.tb03232.x  |  Cited by: 0

Patric H. Hendershott


FREE RESERVES, INTEREST RATES, AND DEPOSITS A SYNTHESIS

Published: 6/1970,  Volume: 25,  Issue: 3  |  DOI: 10.1111/j.1540-6261.1970.tb00525.x  |  Cited by: 8

Patric H. Hendershott, Frank DE Leeuw


The Demand for Tax‐Exempt Securities by Financial Institutions

Published: 6/1980,  Volume: 35,  Issue: 3  |  DOI: 10.1111/j.1540-6261.1980.tb03494.x  |  Cited by: 10

PATRIC H. HENDERSHOTT, TIMOTHY W. KOCH


The Gains from Takeover Deregulation: Evidence from the End of Interstate Banking Restrictions

Published: 12/1998,  Volume: 53,  Issue: 6  |  DOI: 10.1111/0022-1082.00087  |  Cited by: 68

Yaron Brook, Robert Hendershott, Darrell Lee

This paper uses interstate banking deregulation to explore the benefits of takeover deregulation and how these benefits are distributed across different firms. We find large and significant abnormal returns around the Interstate Banking and Branching Efficiency Act of 1994 which imply it created $85 billion of value in the banking industry. Consistent with an active market for corporate control allowing beneficial consolidation and providing needed discipline, there is a strong negative relationship between banks' abnormal returns and their prior performance. Consistent with managerial entrenchment limiting takeover discipline, banks with higher insider ownership, lower outside block ownership, and/or less independent boards have lower abnormal returns.


THE FINANCIAL BEHAVIOR OF HOUSEHOLDS: SOME EMPIRICAL ESTIMATES

Published: 6/1975,  Volume: 30,  Issue: 3  |  DOI: 10.1111/j.1540-6261.1975.tb01847.x  |  Cited by: 7

Patric H. Hendershott, Richard C. Lemmon


The Allocation of Capital Between Residential and Nonresidential Uses: Taxes, Inflation and Capital Market Constraints

Published: 6/1983,  Volume: 38,  Issue: 3  |  DOI: 10.1111/j.1540-6261.1983.tb02502.x  |  Cited by: 13

PATRIC H. HENDERSHOTT, SHENG CHENG HU

We have constructed a simple two‐sector model of the demand for housing and corporate capital. Economic growth and an increase in the inflation rate were then simulated with a number of model variants. The model and simulation experiments illustrate both the tax bias in favor of housing and the manner in which the increase in inflation between 1965 and 1978 magnified it. The existence of capital‐market constraints offsets the bias against corporate capital, but it introduces a sharp, inefficient reallocation of housing from less wealthy, constrained households to wealthy households who do not have gains on mortgages and are not financially constrained.


DISCUSSION

Published: 5/1975,  Volume: 30,  Issue: 2  |  DOI: 10.1111/j.1540-6261.1975.tb01825.x  |  Cited by: 0

Donald L. Tuttle, Patric H. Hendershott


THE IMPACT OF TAXES, RISK AND RELATIVE SECURITY SUPPLIES ON INTEREST RATE DIFFERENTIALS

Published: 9/1978,  Volume: 33,  Issue: 4  |  DOI: 10.1111/j.1540-6261.1978.tb02055.x  |  Cited by: 24

Timothy Q. Cook, Patric H. Hendershott


EXPECTED INFLATION IMPLIED BY CAPITAL MARKET RATES

Published: 5/1973,  Volume: 28,  Issue: 2  |  DOI: 10.1111/j.1540-6261.1973.tb01773.x  |  Cited by: 14

Patric H. Hendershott, James C. Van Horne


INTEREST RATES, THE BUSINESS DEMAND FOR FUNDS, AND THE RESIDENTIAL MORTGAGE MARKET: A SECTORAL ECONOMETRIC STUDY

Published: 12/1973,  Volume: 28,  Issue: 5  |  DOI: 10.1111/j.1540-6261.1973.tb01460.x  |  Cited by: 1

Terrence M. Clauretie


Session Topic: Finance and Investment: Refereed Papers I

Published: 5/1974,  Volume: 29,  Issue: 2  |  DOI: 10.1111/j.1540-6261.1974.tb03061.x  |  Cited by: 0

Charles W. Haley, Terrence F. Martell, George C. Philippatos


Nonstandard Errors

Published: 4/17/2024,  Volume: 79,  Issue: 3  |  DOI: 10.1111/jofi.13337  |  Cited by: 110

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.