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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Asset Fire Sales and Purchases and the International Transmission of Funding Shocks

Published: 11/19/2012,  Volume: 67,  Issue: 6  |  DOI: 10.1111/j.1540-6261.2012.01780.x  |  Cited by: 346

CHOTIBHAK JOTIKASTHIRA, CHRISTIAN LUNDBLAD, TARUN RAMADORAI

We identify a new channel for the transmission of shocks across international markets. Investor flows to funds domiciled in developed markets force significant changes in these funds' emerging market portfolio allocations. These forced trades or “fire sales” affect emerging market equity prices, correlations, and betas, and are related to but distinct from effects arising purely from fund holdings or from overlapping ownership of emerging markets in fund portfolios. A simple model and calibration exercise highlight the importance to these findings of “push” effects from funds' domicile countries and “co‐ownership spillover” between markets with overlapping fund ownership.


Consumption, Dividends, and the Cross Section of Equity Returns

Published: 8/2005,  Volume: 60,  Issue: 4  |  DOI: 10.1111/j.1540-6261.2005.00776.x  |  Cited by: 427

RAVI BANSAL, ROBERT F. DITTMAR, CHRISTIAN T. LUNDBLAD

We show that aggregate consumption risks embodied in cash flows can account for the puzzling differences in risk premia across book‐to‐market, momentum, and size‐sorted portfolios. The dynamics of aggregate consumption and cash flow growth rates, modeled as a vector autoregression, are used to measure the consumption beta of discounted cash flows. Differences in these cash flow betas account for more than 60% of the cross‐sectional variation in risk premia. The market price for risk in cash flows is highly significant. We argue that cash flow risk is important for interpreting differences in risk compensation across assets.


Global Growth Opportunities and Market Integration

Published: 5/8/2007,  Volume: 62,  Issue: 3  |  DOI: 10.1111/j.1540-6261.2007.01231.x  |  Cited by: 276

GEERT BEKAERT, CAMPBELL R. HARVEY, CHRISTIAN LUNDBLAD, STEPHAN SIEGEL

We propose an exogenous measure of a country's growth opportunities by interacting the country's local industry mix with global price to earnings (PE) ratios. We find that these exogenous growth opportunities predict future changes in real GDP and investment in a large panel of countries. This relation is strongest in countries that have liberalized their capital accounts, equity markets, and banking systems. We also find that financial development, external finance dependence, and investor protection measures are much less important in aligning growth opportunities with growth than is capital market openness. Finally, we formulate new tests of market integration and segmentation by linking local and global PE ratios to relative economic growth.


Is Historical Cost Accounting a Panacea? Market Stress, Incentive Distortions, and Gains Trading

Published: 11/12/2015,  Volume: 70,  Issue: 6  |  DOI: 10.1111/jofi.12357  |  Cited by: 166

ANDREW ELLUL, CHOTIBHAK JOTIKASTHIRA, CHRISTIAN T. LUNDBLAD, YIHUI WANG

Accounting rules, through their interactions with capital regulations, affect financial institutions’ trading behavior. The insurance industry provides a laboratory to explore these interactions: life insurers have greater flexibility than property and casualty insurers to hold speculative‐grade assets at historical cost, and the degree to which life insurers recognize market values differs across U.S. states. During the financial crisis, insurers facing a lesser degree of market value recognition are less likely to sell downgraded asset‐backed securities. To improve their capital positions, these insurers disproportionately resort to gains trading, selectively selling otherwise unrelated bonds with high unrealized gains, transmitting shocks across markets.


THE INVESTMENT DECISION OF THE FIRM UNDER UNCERTAINTY AND THE ALLOCATIVE EFFICIENCY OF CAPITAL MARKETS*

Published: 5/1976,  Volume: 31,  Issue: 2  |  DOI: 10.1111/j.1540-6261.1976.tb01908.x  |  Cited by: 5

Niels Christian Nielsen


A FURTHER ANALYSIS OF THE OBJECTIVES OF AMERICAN MONETARY POLICY

Published: 6/1968,  Volume: 23,  Issue: 3  |  DOI: 10.1111/j.1540-6261.1968.tb00820.x  |  Cited by: 10

James W. Christian


AN APPROACH TO THE ANALYSIS OF THE DIFFERENTIAL EFFECTS OF MONETARY POLICY*

Published: 3/1967,  Volume: 22,  Issue: 1  |  DOI: 10.1111/j.1540-6261.1967.tb01663.x  |  Cited by: 0

James W. Christian


Performance Measurement under Asymmetric Information and Investment Constraints

Published: 12/1990,  Volume: 45,  Issue: 5  |  DOI: 10.1111/j.1540-6261.1990.tb03734.x  |  Cited by: 0

MICHEL GENDRON, CHRISTIAN GENEST

The fact that investment policies are often restricted appears to have been neglected in the performance measurement literature. This paper, using a standard information model, shows how the introduction of constraints on the proportion of assets to be invested in the market affects the expected portfolio returns and the value of a portfolio manager's performance. The results are related to the classical Treynor and Mazuy (1966) conjectures about characteristic lines.


Around and Around: The Expectations Hypothesis

Published: 2/1998,  Volume: 53,  Issue: 1  |  DOI: 10.1111/0022-1082.145490  |  Cited by: 20

Mark Fisher, Christian Gilles

We show how to construct models of the term structure of interest rates in which the expectations hypothesis holds. McCulloch (1993) presents such a model, thereby contradicting an assertion by Cox, Ingersoll, and Ross (1981), but his example is Gaussian and falls outside the class of finite‐dimensional Markovian models. We generalize McCulloch's model in three ways: (i) We provide an arbitrage‐free characterization of the unbiased expectations hypothesis in terms of forward rates; (ii) we extend this characterization to a whole class of expectations hypotheses; and (iii) we show how to construct finite‐dimensional Markovian and non‐Gaussian examples.


Forward Foreign Exchange Rates, Expected Spot Rates, and Premia: A Signal‐Extraction Approach

Published: 6/1987,  Volume: 42,  Issue: 2  |  DOI: 10.1111/j.1540-6261.1987.tb02573.x  |  Cited by: 28

CHRISTIAN C. P. WOLFF

In this paper, we implement a methodology to identify and measure premia in the pricing of forward foreign exchange that involves application of signal‐extraction techniques from the engineering literature. Diagnostic tests indicate that these methods are quite successful in capturing the essence of the time‐series properties of premium terms. The estimated premium models indicate that premia show a certain degree of persistance over time and that more than half the variance in the forecast error that results from the use of current forward rates as predictors of future spot rates is accounted for by variation in premium terms. The methodology can be applied straightforwardly to the measurement of unobservables in other financial markets.


A Note on the Local Expectations Hypothesis: A Discrete‐Time Exposition

Published: 9/1986,  Volume: 41,  Issue: 4  |  DOI: 10.1111/j.1540-6261.1986.tb04560.x  |  Cited by: 9

CHRISTIAN GILLES, STEPHEN F. LEROY


A Note on the Local Expectations Hypothesis: A Discrete‐Time Exposition—Erratum

Published: 6/1987,  Volume: 42,  Issue: 2  |  DOI: 10.1111/j.1540-6261.1987.tb02580.x  |  Cited by: 0

CHRISTIAN GILLES, STEPHEN F. LeROY


Information Aggregation with Asymmetric Asset Payoffs

Published: 6/11/2024,  Volume: 79,  Issue: 4  |  DOI: 10.1111/jofi.13361  |  Cited by: 10

ELIAS ALBAGLI, CHRISTIAN HELLWIG, ALEH TSYVINSKI

We study noisy aggregation of dispersed information in financial markets without imposing parametric restrictions on preferences, information, and return distributions. We provide a general characterization of asset returns by means of a risk‐neutral probability measure that features excess weight on tail risks. Moreover, we link excess weight on tail risks to observable moments such as forecast dispersion and accuracy, and argue that it provides a unified explanation for several prominent cross‐sectional return anomalies. Simple calibrations suggest the model can account for a significant fraction of empirical returns to skewness, returns to disagreement, and interaction effects between the two.


Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models

Published: 12/31/2022,  Volume: 78,  Issue: 1  |  DOI: 10.1111/jofi.13197  |  Cited by: 113

SVETLANA BRYZGALOVA, JIANTAO HUANG, CHRISTIAN JULLIARD

We propose a novel framework for analyzing linear asset pricing models: simple, robust, and applicable to high‐dimensional problems. For a (potentially misspecified) stand‐alone model, it provides reliable price of risk estimates for both tradable and nontradable factors, and detects those weakly identified. For competing factors and (possibly nonnested) models, the method automatically selects the best specification—if a dominant one exists—or provides a Bayesian model averaging–stochastic discount factor (BMA‐SDF), if there is no clear winner. We analyze 2.25 quadrillion models generated by a large set of factors and find that the BMA‐SDF outperforms existing models in‐ and out‐of‐sample.


Debt Refinancing and Equity Returns

Published: 6/15/2022,  Volume: 77,  Issue: 4  |  DOI: 10.1111/jofi.13162  |  Cited by: 39

NILS FRIEWALD, FLORIAN NAGLER, CHRISTIAN WAGNER

This paper presents empirical evidence that the maturity structure of financial leverage affects the cross‐section of equity returns. We find that short‐term leverage is associated with a positive premium, whereas long‐term leverage is not. The premium for short‐term compared to long‐term leverage reflects higher exposure of equity to systematic risk. To rationalize our findings, we show that the same patterns emerge in a model of debt rollover risk with endogenous leverage and debt maturity choice. Our results suggest that analyses of leverage effects in asset prices and corporate financial applications should account for the maturity structure of debt.


The Cross‐Section of Credit Risk Premia and Equity Returns

Published: 11/10/2014,  Volume: 69,  Issue: 6  |  DOI: 10.1111/jofi.12143  |  Cited by: 164

NILS FRIEWALD, CHRISTIAN WAGNER, JOSEF ZECHNER

We explore the link between a firm's stock returns and credit risk using a simple insight from structural models following Merton (): risk premia on equity and credit instruments are related because all claims on assets must earn the same compensation per unit of risk. Consistent with theory, we find that firms' stock returns increase with credit risk premia estimated from CDS spreads. Credit risk premia contain information not captured by physical or risk‐neutral default probabilities alone. This sheds new light on the “distress puzzle”—the lack of a positive relation between equity returns and default probabilities—reported in previous studies.


Consumption in Asset Returns

Published: 5/15/2026,  Volume: ,  Issue:   |  DOI: 10.1111/jofi.70044  |  Cited by: 0

SVETLANA BRYZGALOVA, JIANTAO HUANG, CHRISTIAN JULLIARD

Using information in returns, we identify the stochastic process of consumption. We find that aggregate consumption reacts over multiple quarters to innovations spanned by financial markets. This persistent component accounts for over a quarter of consumption variation. These shocks command a large and significant risk premium, driving a large share of stocks' and a small yet significant fraction of bonds' time‐series variation. Nevertheless, we find no support for stochastic volatility of consumption driving time‐varying risk premia. Finally, an otherwise standard recursive utility model based on our estimated process explains equity premium and risk‐free rate puzzles with low‐risk aversion.


Low‐Risk Anomalies?

Published: 6/13/2020,  Volume: 75,  Issue: 5  |  DOI: 10.1111/jofi.12910  |  Cited by: 145

PAUL SCHNEIDER, CHRISTIAN WAGNER, JOSEF ZECHNER

This paper shows that low‐risk anomalies in the capital asset pricing model and in traditional factor models arise when investors require compensation for coskewness risk. Empirically, we find that option‐implied ex ante skewness is strongly related to ex post residual coskewness, which allows us to construct coskewness factor‐mimicking portfolios. Controlling for skewness renders the alphas of betting‐against‐beta and betting‐against‐volatility insignificant. We also show that the returns of beta‐ and volatility‐sorted portfolios are driven largely by a single principal component, which in turn is explained largely by skewness.


What Is the Expected Return on a Stock?

Published: 5/22/2019,  Volume: 74,  Issue: 4  |  DOI: 10.1111/jofi.12778  |  Cited by: 195

IAN W. R. MARTIN, CHRISTIAN WAGNER

We derive a formula for the expected return on a stock in terms of the risk‐neutral variance of the market and the stock's excess risk‐neutral variance relative to that of the average stock. These quantities can be computed from index and stock option prices; the formula has no free parameters. The theory performs well empirically both in and out of sample. Our results suggest that there is considerably more variation in expected returns, over time and across stocks, than has previously been acknowledged.


Real Anomalies

Published: 4/2/2019,  Volume: 74,  Issue: 4  |  DOI: 10.1111/jofi.12771  |  Cited by: 91

JULES H. van BINSBERGEN, CHRISTIAN C. OPP

We examine the importance of cross‐sectional asset pricing anomalies (alphas) for the real economy. To this end, we develop a novel quantitative model of the cross‐section of firms that features lumpy investment and informational inefficiencies, while yielding distributions in closed form. Our findings indicate that anomalies can cause material real inefficiencies, which raises the possibility that agents who help eliminate them add significant value to the economy. The model shows that the magnitude of alphas alone is a poor indicator of real outcomes, and highlights the importance of the alpha persistence, the amount of mispriced capital, and the Tobin's q of firms affected.


Going the Extra Mile: Distant Lending and Credit Cycles

Published: 2/25/2022,  Volume: 77,  Issue: 2  |  DOI: 10.1111/jofi.13114  |  Cited by: 100

JOÃO GRANJA, CHRISTIAN LEUZ, RAGHURAM G. RAJAN

The average distance of U.S. banks from their small corporate borrowers increased before the global financial crisis, especially for banks in competitive counties. Small distant loans are harder to make, so loan quality deteriorated. Surprisingly, such lending intensified as the Fed raised interest rates from 2004. Why? We show that banks' responses to higher rates led bank deposits to shift into competitive counties. Short‐horizon bank management recycled these inflows into risky loans to distant uncompetitive counties. Thus, rate hikes, competition, and managerial short‐termism explain why inflows “burned a hole” in banks' pockets and, more generally, increased risky lending.


Zombie Credit and (Dis‐)Inflation: Evidence from Europe

Published: 4/11/2024,  Volume: 79,  Issue: 3  |  DOI: 10.1111/jofi.13342  |  Cited by: 46

VIRAL V. ACHARYA, MATTEO CROSIGNANI, TIM EISERT, CHRISTIAN EUFINGER

We show that “zombie credit”—subsidized credit to nonviable firms—has a disinflationary effect. By keeping these firms afloat, zombie credit creates excess aggregate supply, thereby putting downward pressure on prices. Granular European data on inflation, firms, and banks confirm this mechanism. Markets affected by a rise in zombie credit experience lower firm entry and exit, capacity utilization, markups, and inflation, as well as a misallocation of capital and labor, which results in lower productivity, investment, and value added. If weakly capitalized banks were recapitalized in 2009, inflation in Europe would have been up to 0.21 percentage points higher post‐2012.


Pockets of Predictability: A Replication

Published: 8/25/2025,  Volume: 80,  Issue: 6  |  DOI: 10.1111/jofi.13484  |  Cited by: 4

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: 102

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.