Search results: 30.
Outsourcing Mutual Fund Management: Firm Boundaries, Incentives, and Performance
Published: 3/7/2013, Volume: 68, Issue: 2 | DOI: 10.1111/jofi.12006 | Cited by: 142
JOSEPH CHEN, HARRISON HONG, WENXI JIANG, JEFFREY D. KUBIK
We investigate the effects of managerial outsourcing on the performance and incentives of mutual funds. Fund families outsource the management of a large fraction of their funds to advisory firms. These funds underperform those run internally by about 52 basis points per year. After instrumenting for a fund's outsourcing status, the estimated underperformance is three times larger. We hypothesize that contractual externalities due to firm boundaries make it difficult to extract performance from an outsourced relationship. Consistent with this view, outsourced funds face higher powered incentives; they are more likely to be closed after poor performance and excessive risk‐taking.
Does Herding Behavior Reveal Skill? An Analysis of Mutual Fund Performance
Published: 7/16/2018, Volume: 73, Issue: 5 | DOI: 10.1111/jofi.12699 | Cited by: 182
HAO JIANG, MICHELA VERARDO
We uncover a negative relation between herding behavior and skill in the mutual fund industry. Our new, dynamic measure of fund‐level herding captures the tendency of fund managers to follow the trades of the institutional crowd. We find that herding funds underperform their antiherding peers by over 2% per year. Differences in skill drive this performance gap: Antiherding funds make superior investment decisions even on stocks not heavily traded by institutions, and can anticipate the trades of the crowd; furthermore, the herding‐antiherding performance gap is persistent, wider when skill is more valuable, and larger among managers with stronger career concerns.
Offering versus Choice in 401(k) Plans: Equity Exposure and Number of Funds
Published: 3/9/2006, Volume: 61, Issue: 2 | DOI: 10.1111/j.1540-6261.2006.00854.x | Cited by: 256
GUR HUBERMAN, WEI JIANG
Records of over half a million participants in more than 600 401(k) plans indicate that participants tend to allocate their contributions evenly across the funds they use, with the tendency weakening with the number of funds used. The number of funds used, typically between three and four, is not sensitive to the number of funds offered by the plans, which ranges from 4 to 59. A participant's propensity to allocate contributions to equity funds is not very sensitive to the fraction of equity funds among offered funds. The paper also comments on limitations on inferences from experiments and aggregate‐level data analysis.
Trading and Returns under Periodic Market Closures
Published: 2/2000, Volume: 55, Issue: 1 | DOI: 10.1111/0022-1082.00207 | Cited by: 144
Harrison Hong, Jiang Wang
This paper studies how market closures affect investors' trading policies and the resulting return‐generating process. It shows that closures generate rich patterns of time variation in trading and returns, including those consistent with empirical findings: (1) U‐shaped patterns in the mean and volatility of returns over trading periods, (2) higher trading activity around the close and open, (3) more volatile open‐to‐open returns than close‐to‐close returns, (4) higher returns over trading periods than over nontrading periods, (5) more volatile returns over trading periods than over nontrading periods. It also shows that closures can make prices more informative about future payoffs.
Trading Volume: Implications of an Intertemporal Capital Asset Pricing Model
Published: 12/2006, Volume: 61, Issue: 6 | DOI: 10.1111/j.1540-6261.2006.01005.x | Cited by: 88
ANDREW W. LO, JIANG WANG
We derive an intertemporal asset pricing model and explore its implications for trading volume and asset returns. We show that investors trade in only two portfolios: the market portfolio, and a hedging portfolio that is used to hedge the risk of changing market conditions. We empirically identify the hedging portfolio using weekly volume and returns data for U.S. stocks, and then test two of its properties implied by the theory: Its return should be an additional risk factor in explaining the cross section of asset returns, and should also be the best predictor of future market returns.
Implementing Option Pricing Models When Asset Returns Are Predictable
Published: 3/1995, Volume: 50, Issue: 1 | DOI: 10.1111/j.1540-6261.1995.tb05168.x | Cited by: 159
ANDREW W. LO, JIANG WANG
The predictability of an asset's returns will affect the prices of options on that asset, even though predictability is typically induced by the drift, which does not enter the option pricing formula. For discretely‐sampled data, predictability is linked to the parameters that do enter the option pricing formula. We construct an adjustment for predictability to the Black‐Scholes formula and show that this adjustment can be important even for small levels of predictability, especially for longer maturity options. We propose several continuous‐time linear diffusion processes that can capture broader forms of predictability, and provide numerical examples that illustrate their importance for pricing options.
The Real Effects of Financial Markets: The Impact of Prices on Takeovers
Published: 5/21/2012, Volume: 67, Issue: 3 | DOI: 10.1111/j.1540-6261.2012.01738.x | Cited by: 611
ALEX EDMANS, ITAY GOLDSTEIN, WEI JIANG
Using mutual fund redemptions as an instrument for price changes, we identify a strong effect of market prices on takeover activity (the “trigger effect”). An interquartile decrease in valuation leads to a seven percentage point increase in acquisition likelihood, relative to a 6% unconditional takeover probability. Instrumentation addresses the fact that prices are endogenous and increase in anticipation of a takeover (the “anticipation effect”). Our results overturn prior literature that finds a weak relation between prices and takeovers without instrumentation. These findings imply that financial markets have real effects: They impose discipline on managers by triggering takeover threats.
Foreign Safe Asset Demand and the Dollar Exchange Rate
Published: 3/15/2021, Volume: 76, Issue: 3 | DOI: 10.1111/jofi.13003 | Cited by: 268
ZHENGYANG JIANG, ARVIND KRISHNAMURTHY, HANNO LUSTIG
We develop a theory that links the U.S. dollar's valuation in FX markets to the convenience yield that foreign investors derive from holding U.S. safe assets. We show that this convenience yield can be inferred from the Treasury basis, the yield gap between U.S. government and currency‐hedged foreign government bonds. Consistent with the theory, a widening of the basis coincides with an immediate appreciation and a subsequent depreciation of the dollar. Our results lend empirical support to models that impute a special role to the United States as the world's provider of safe assets and the dollar as the world's reserve currency.
Directors' Ownership in the U.S. Mutual Fund Industry
Published: 11/11/2008, Volume: 63, Issue: 6 | DOI: 10.1111/j.1540-6261.2008.01410.x | Cited by: 81
QI CHEN, ITAY GOLDSTEIN, WEI JIANG
This paper empirically investigates directors' ownership in the mutual fund industry. Our results show that, contrary to anecdotal evidence, a significant portion of directors hold shares in the funds they oversee. Ownership patterns are broadly consistent with an optimal contracting equilibrium. That is, ownership is positively and significantly correlated with most variables that are predicted to indicate greater value from directors' monitoring. For example, directors' ownership is more prevalent in actively managed funds and in funds with lower institutional ownership. We also show considerable heterogeneity in ownership across fund families, suggesting family‐wide policies play an important role.
(Re‐)Imag(in)ing Price Trends
Published: 8/13/2023, Volume: 78, Issue: 6 | DOI: 10.1111/jofi.13268 | Cited by: 131
JINGWEN JIANG, BRYAN KELLY, DACHENG XIU
We reconsider trend‐based predictability by employing flexible learning methods to identify price patterns that are highly predictive of returns, as opposed to testing predefined patterns like momentum or reversal. Our predictor data are stock‐level price charts, allowing us to extract the most predictive price patterns using machine learning image analysis techniques. These patterns differ significantly from commonly analyzed trend signals, yield more accurate return predictions, enable more profitable investment strategies, and demonstrate robustness across specifications. Remarkably, they exhibit context independence, as short‐term patterns perform well on longer time scales, and patterns learned from U.S. stocks prove effective in international markets.
Hedge Funds and Chapter 11
Published: 3/27/2012, Volume: 67, Issue: 2 | DOI: 10.1111/j.1540-6261.2012.01724.x | Cited by: 168
WEI JIANG, KAI LI, WEI WANG
This paper studies the presence of hedge funds in the Chapter 11 process and their effects on bankruptcy outcomes. Hedge funds strategically choose positions in the capital structure where their actions could have a bigger impact on value. Their presence, especially as unsecured creditors, helps balance power between the debtor and secured creditors. Their effect on the debtor manifests in higher probabilities of the latter's loss of exclusive rights to file reorganization plans, CEO turnover, and adoptions of key employee retention plan, while their effect on secured creditors manifests in higher probabilities of emergence and payoffs to junior claims.
Mutual Fund Holdings of Credit Default Swaps: Liquidity, Yield, and Risk
Published: 12/22/2020, Volume: 76, Issue: 2 | DOI: 10.1111/jofi.12996 | Cited by: 31
WEI JIANG, JITAO OU, ZHONGYAN ZHU
This study analyzes the motivations for and consequences of funds' credit default swap (CDS) investments using mutual funds' quarterly holdings from pre‐ to postfinancial crisis. Funds invest in CDS when facing unpredictable liquidity needs. Funds sell more in reference entities when the CDS is liquid relative to the underlying bonds and buy more when the CDS‐bond basis is more negative. To enhance yield, funds engage in negative basis trading and sell CDS with the highest spreads within rating categories, and with spreads higher than those of their bond portfolios. Funds with superior portfolio returns also demonstrate more skill in CDS trading.
The Illiquidity of Corporate Bonds
Published: 5/23/2011, Volume: 66, Issue: 3 | DOI: 10.1111/j.1540-6261.2011.01655.x | Cited by: 907
JACK BAO, JUN PAN, JIANG WANG
This paper examines the illiquidity of corporate bonds and its asset‐pricing implications. Using transactions data from 2003 to 2009, we show that the illiquidity in corporate bonds is substantial, significantly greater than what can be explained by bid–ask spreads. We establish a strong link between bond illiquidity and bond prices. In aggregate, changes in market‐level illiquidity explain a substantial part of the time variation in yield spreads of high‐rated (AAA through A) bonds, overshadowing the credit risk component. In the cross‐section, the bond‐level illiquidity measure explains individual bond yield spreads with large economic significance.
Influencing Control: Jawboning in Risk Arbitrage
Published: 10/7/2018, Volume: 73, Issue: 6 | DOI: 10.1111/jofi.12721 | Cited by: 70
WEI JIANG, TAO LI, DANQING MEI
In an “activist risk arbitrage,” a shareholder attempts to improve terms of an announced M&A through public campaigns. Activists target deals with low premiums and those susceptible to managerial conflicts of interest, including going‐private deals and deals in which CEOs receive outsized payments. Activist arbitrageurs are associated with a significant decrease in the probability that targets will be sold to the announced bidders, and an increase in the premium paid, both ex post among surviving deals and ex ante among all deals. Activist arbitrage serves as a governance mechanism in M&A and earns higher returns than passive arbitrage.
Noise as Information for Illiquidity
Published: 11/12/2013, Volume: 68, Issue: 6 | DOI: 10.1111/jofi.12083 | Cited by: 410
GRACE XING HU, JUN PAN, JIANG WANG
We propose a market‐wide liquidity measure by exploiting the connection between the amount of arbitrage capital in the market and observed “noise” in U.S. Treasury bonds—the shortage of arbitrage capital allows yields to deviate more freely from the curve, resulting in more noise in prices. Our noise measure captures episodes of liquidity crises of different origins across the financial market, providing information beyond existing liquidity proxies. Moreover, as a priced risk factor, it helps to explain cross‐sectional returns on hedge funds and currency carry trades, both known to be sensitive to the general liquidity conditions of the market.
A Portfolio Approach to Global Imbalances
Published: 4/9/2024, Volume: 79, Issue: 3 | DOI: 10.1111/jofi.13333 | Cited by: 42
ZHENGYANG JIANG, ROBERT J. RICHMOND, TONY ZHANG
We use a portfolio‐based framework to understand what drives the decline of the U.S. net foreign asset (NFA) position and the reversal in returns earned on the U.S. NFA (exorbitant privilege). We show that global savings gluts and monetary policies widened the U.S. NFA position, while investor demand shifts partially offset this widening. Moreover, U.S. privilege declined after 2010, in line with increasing foreign demand for U.S. equity. We also highlight a quantity dimension of the U.S. privilege: The U.S. can issue substantially more debt than other countries for a given yield increase.
Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation
Published: 8/2000, Volume: 55, Issue: 4 | DOI: 10.1111/0022-1082.00265 | Cited by: 828
Andrew W. Lo, Harry Mamaysky, Jiang Wang
Technical analysis, also known as “charting,” has been a part of financial practice for many decades, but this discipline has not received the same level of academic scrutiny and acceptance as more traditional approaches such as fundamental analysis. One of the main obstacles is the highly subjective nature of technical analysis—the presence of geometric shapes in historical price charts is often in the eyes of the beholder. In this paper, we propose a systematic and automatic approach to technical pattern recognition using nonparametric kernel regression, and we apply this method to a large number of U.S. stocks from 1962 to 1996 to evaluate the effectiveness of technical analysis. By comparing the unconditional empirical distribution of daily stock returns to the conditional distribution—conditioned on specific technical indicators such as head‐and‐shoulders or double bottoms—we find that over the 31‐year sample period, several technical indicators do provide incremental information and may have some practical value.
Insider Investment Horizon
Published: 2/13/2020, Volume: 75, Issue: 3 | DOI: 10.1111/jofi.12878 | Cited by: 93
FERHAT AKBAS, CHAO JIANG, PAUL D. KOCH
We examine the relation between insiders’ investment horizon and the information content of their trades with respect to future stock returns. We conjecture that an insider's investment horizon establishes a benchmark for expected patterns of continued trading behavior and thus helps identify unexpected insider trades, which should be more informative in efficient markets. Consistent with this conjecture, the trades of short‐horizon insiders are both more unexpected and more informed, on average, than those of long‐horizon insiders. Short‐horizon insiders and their firms also tend to display characteristics that are associated with a greater focus on short‐termism.
A q$q$ Theory of Internal Capital Markets
Published: 2/24/2024, Volume: 79, Issue: 2 | DOI: 10.1111/jofi.13318 | Cited by: 21
MIN DAI, XAVIER GIROUD, WEI JIANG, NENG WANG
We propose a tractable model of dynamic investment, spinoffs, financing, and risk management for a multidivision firm facing costly external finance. Our analysis formalizes the following insights: (i) Within‐firm resource allocation is based not only on divisions' productivity, as in winner‐picking models, but also their risk; (ii) firms may voluntarily spin off productive divisions to increase liquidity; (iii) diversification can reduce firm value in low‐liquidity states, as it increases the spinoff cost and hampers liquidity management; (iv) corporate socialism makes liquidity less valuable; and (v) division investment is determined by the ratio between marginal and marginal value of cash.
Hedge Fund Activism, Corporate Governance, and Firm Performance
Published: 7/19/2008, Volume: 63, Issue: 4 | DOI: 10.1111/j.1540-6261.2008.01373.x | Cited by: 1305
ALON BRAV, WEI JIANG, FRANK PARTNOY, RANDALL THOMAS
Using a large hand‐collected data set from 2001 to 2006, we find that activist hedge funds in the United States propose strategic, operational, and financial remedies and attain success or partial success in two‐thirds of the cases. Hedge funds seldom seek control and in most cases are nonconfrontational. The abnormal return around the announcement of activism is approximately 7%, with no reversal during the subsequent year. Target firms experience increases in payout, operating performance, and higher CEO turnover after activism. Our analysis provides important new evidence on the mechanisms and effects of informed shareholder monitoring.
The Dark Side of Circuit Breakers
Published: 2/23/2024, Volume: 79, Issue: 2 | DOI: 10.1111/jofi.13310 | Cited by: 26
HUI CHEN, ANTON PETUKHOV, JIANG WANG, HAO XING
Market‐wide circuit breakers are trading halts aimed at stabilizing the market during dramatic price declines. Using an intertemporal equilibrium model, we show that a circuit breaker significantly alters market dynamics and affects investor welfare. As the market approaches the circuit breaker, price volatility rises drastically, accelerating the chance of triggering the circuit breaker—the so‐called “magnet effect,” returns exhibit increasing negative skewness, and trading activity spikes up. Our empirical analysis supports the model's predictions. Circuit breakers can affect overall welfare negatively or positively, depending on the relative significance of investors' trading motives for risk sharing versus irrational speculation.
Uncovering Hedge Fund Skill from the Portfolio Holdings They Hide
Published: 3/7/2013, Volume: 68, Issue: 2 | DOI: 10.1111/jofi.12012 | Cited by: 280
VIKAS AGARWAL, WEI JIANG, YUEHUA TANG, BAOZHONG YANG
This paper studies the “confidential holdings” of institutional investors, especially hedge funds, where the quarter‐end equity holdings are disclosed with a delay through amendments to Form 13F and are usually excluded from the standard databases. Funds managing large risky portfolios with nonconventional strategies seek confidentiality more frequently. Stocks in these holdings are disproportionately associated with information‐sensitive events or share characteristics indicating greater information asymmetry. Confidential holdings exhibit superior performance up to 12 months, and tend to take longer to build. Together the evidence supports private information and the associated price impact as the dominant motives for confidentiality.
Bank Competition Amid Digital Disruption: Implications for Financial Inclusion
Published: 5/17/2026, Volume: 81, Issue: 4 | DOI: 10.1111/jofi.70051 | Cited by: 2
ERICA XUEWEI JIANG, GLORIA YANG YU, JINYUAN ZHANG
We examine how digital disruption affects bank competition using the staggered rollout of 3G mobile networks. 3G expansion increased mobile banking adoption among tech‐savvy households, reducing branch networks—especially in younger counties. Banks' strategies diverged: Less branch‐reliant banks closed branches and competed on price, while more branch‐reliant banks maintained branches but raised spreads. A structural model shows that perceived digital service improvements among younger consumers drove these shifts, reducing welfare for older savers. Counterfactuals demonstrate that subsidizing adoption for older savers can cost‐effectively reduce these disparities, facilitating a smoother digital transition.
Trading Against the Random Expiration of Private Information: A Natural Experiment
Published: 11/12/2019, Volume: 75, Issue: 1 | DOI: 10.1111/jofi.12844 | Cited by: 41
MOHAMMADREZA BOLANDNAZAR, ROBERT J. JACKSON, WEI JIANG, JOSHUA MITTS
For years, the Securities and Exchange Commission (SEC) accidentally distributed securities disclosures to some investors before the public. We exploit this setting, which is unique because the delay until public disclosure was exogenous and the private information window was well defined, to study informed trading with a random stopping time. Trading intensity and the pace at which prices incorporate information decrease with the expected delay until public release, but the relation between trading intensity and time elapsed varies with traders' learning process. Noise trading and relative information advantage play similar roles as in standard microstructure theories assuming a fixed time window.
What Drives Variation in the U.S. Debt‐to‐Output Ratio? The Dogs that Did not Bark
Published: 6/11/2024, Volume: 79, Issue: 4 | DOI: 10.1111/jofi.13363 | Cited by: 18
ZHENGYANG JIANG, HANNO LUSTIG, STIJN VAN NIEUWERBURGH, MINDY Z. XIAOLAN
A higher U.S. government debt‐to‐output (D‐O) ratio does not forecast higher surpluses or lower returns on Treasurys in the future. Neither future cash flows nor discount rates account for the variation in the current D‐O ratio. The market valuation of Treasurys is surprisingly insensitive to macro fundamentals. Instead, the future D‐O ratio accounts for most of the variation because the D‐O ratio is highly persistent. Systematic surplus forecast errors may help account for these findings. Since the start of the Global Financial Crisis, surplus projections have anticipated a large fiscal correction that failed to materialize.
The Price Impact and Survival of Irrational Traders
Published: 1/20/2006, Volume: 61, Issue: 1 | DOI: 10.1111/j.1540-6261.2006.00834.x | Cited by: 261
LEONID KOGAN, STEPHEN A. ROSS, JIANG WANG, MARK M. WESTERFIELD
Milton Friedman argued that irrational traders will consistently lose money, will not survive, and, therefore, cannot influence long‐run asset prices. Since his work, survival and price impact have been assumed to be the same. In this paper, we demonstrate that survival and price impact are two independent concepts. The price impact of irrational traders does not rely on their long‐run survival, and they can have a significant impact on asset prices even when their wealth becomes negligible. We also show that irrational traders' portfolio policies can deviate from their limits long after the price process approaches its long‐run limit.
International Evidence on Institutional Trading Behavior and Price Impact
Published: 3/25/2004, Volume: 59, Issue: 2 | DOI: 10.1111/j.1540-6261.2004.00651.x | Cited by: 227
Chiraphol N. Chiyachantana, Pankaj K. Jain, Christine Jiang, Robert A. Wood
This study characterizes institutional trading in international stocks from 37 countries during 1997 to 1998 and 2001. We find that the underlying market condition is a major determinant of the price impact and, more importantly, of the asymmetry between price impacts of institutional buy and sell orders. In bullish markets, institutional purchases have a bigger price impact than sells; however, in the bearish markets, sells have a higher price impact. This differs from previous findings on price impact asymmetry. Our study further suggests that price impact varies depending on order characteristics, firm‐specific factors, and cross‐country differences.
What Explains Differences in Finance Research Productivity during the Pandemic?
Published: 5/3/2021, Volume: 76, Issue: 4 | DOI: 10.1111/jofi.13028 | Cited by: 87
BRAD M. BARBER, WEI JIANG, ADAIR MORSE, MANJU PURI, HEATHER TOOKES, INGRID M. WERNER
Based on a survey of American Finance Association members, we analyze how demographics, time allocation, production mechanisms, and institutional factors affect research production during the pandemic. Consistent with the literature, research productivity falls more for women and faculty with young children. Independently, and novel, extra time spent on teaching (much more likely for women) negatively affects research productivity. Also novel, concerns about feedback, isolation, and health have large negative research effects, which disproportionately affect junior faculty and PhD students. Finally, faculty who express greater concerns about employers’ finances report larger negative research effects and more concerns about feedback, isolation, and health.
The Impact of Minority Representation at Mortgage Lenders
Published: 2/11/2025, Volume: 80, Issue: 2 | DOI: 10.1111/jofi.13428 | Cited by: 26
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: 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.