The Journal of Finance

Infrequent Rebalancing, Return Autocorrelation, and Seasonality

Published: 08/04/2016   |   DOI: 10.1111/jofi.12436

VINCENT BOGOUSSLAVSKY

A model of infrequent rebalancing can explain specific predictability patterns in the time series and cross‐section of stock returns. First, infrequent rebalancing produces return autocorrelations that are consistent with empirical evidence from intraday returns and new evidence from daily returns. Autocorrelations can switch sign and become positive at the rebalancing horizon. Second, the cross‐sectional variance in expected returns is larger when more traders rebalance. This effect generates seasonality in the cross‐section of stock returns, which can help explain available empirical evidence.

Liquidity Fluctuations in Over‐the‐Counter Markets

Published: 01/17/2022   |   DOI: 10.1111/jofi.13106

VINCENT MAURIN

This paper proposes a theory of excess price fluctuations in over‐the‐counter secondary markets. When heterogeneous assets trade under asymmetric information, a quality effect emerges: high liquidity lowers the quality of the pool of sellers and decreases future liquidity. Cyclical equilibria can arise even without fundamental shocks. In a cycle, investors speculate by bidding up the price of low‐quality assets, anticipating a high resale price at the peak. When this resale effect is strong, cycles disappear and multiple steady states coexist with different levels of liquidity. The model rationalizes empirical patterns for corporate bonds and housing in particular.

PUBLIC FINANCING FOR SMALL CORPORATIONS*

Published: 03/01/1960   |   DOI: 10.1111/j.1540-6261.1960.tb04844.x

Vincent M. Jolivet

AN ECONOMETRIC STUDY OF EURODOLLAR BORROWING BY NEW YORK BANKS AND THE RATE OF INTEREST ON EURODOLLARS: COMMENT

Published: 09/01/1972   |   DOI: 10.1111/j.1540-6261.1972.tb01325.x

Vincent G. Massaeo

Compensating Financial Experts

Published: 10/13/2015   |   DOI: 10.1111/jofi.12372

VINCENT GLODE, RICHARD LOWERY

We propose a labor market model in which financial firms compete for a scarce supply of workers who can be employed as either bankers or traders. While hiring bankers helps create a surplus that can be split between a firm and its trading counterparties, hiring traders helps the firm appropriate a greater share of that surplus away from its counterparties. Firms bid defensively for workers bound to become traders, who then earn more than bankers. As counterparties employ more traders, the benefit of employing bankers decreases. The model sheds light on the historical evolution of compensation in finance.

The Delisting Bias in CRSP's Nasdaq Data and Its Implications for the Size Effect

Published: 12/17/2002   |   DOI: 10.1111/0022-1082.00192

Tyler Shumway, Vincent A. Warther

We investigate the bias in CRSP's Nasdaq data due to missing returns for delisted stocks. We find that the missing returns are large and negative on average, and that delisted stocks experience a substantial decrease in liquidity. We estimate that using a corrected return of −55 percent for missing performance‐related delisting returns corrects the bias. We revisit previous work which finds a size effect among Nasdaq stocks. After correcting for the delisting bias, there is no evidence that there ever was a size effect on Nasdaq. Our results are inconsistent with most risk‐based explanations of the size effect.

Liquidity, Volume, and Order Imbalance Volatility

Published: 05/24/2023   |   DOI: 10.1111/jofi.13248

VINCENT BOGOUSSLAVSKY, PIERRE COLLIN‐DUFRESNE

We examine the dynamics of liquidity using a comprehensive sample of U.S. stocks in the post‐decimalization period. Motivated by a continuous‐time inventory model, we compute a high‐frequency measure of order imbalance volatility to proxy for the inventory risk faced by liquidity providers. We show that high‐frequency order imbalance volatility is an important driver of liquidity and explains the often positive time‐series relation between spread and volume for large stocks, which seems to run counter to most theoretical models. Furthermore, order imbalance volatility is priced in the cross‐section of stock returns.

Informed Trading Intensity

Published: 02/27/2024   |   DOI: 10.1111/jofi.13320

VINCENT BOGOUSSLAVSKY, VYACHESLAV FOS, DMITRIY MURAVYEV

We train a machine learning method on a class of informed trades to develop a new measure of informed trading, informed trading intensity (ITI). ITI increases before earnings, mergers and acquisitions, and news announcements, and has implications for return reversal and asset pricing. ITI is effective because it captures nonlinearities and interactions between informed trading, volume, and volatility. This data‐driven approach can shed light on the economics of informed trading, including impatient informed trading, commonality in informed trading, and models of informed trading. Overall, learning from informed trading data can generate an effective informed trading measure.

Dividends, Asymmetric Information, and Agency Conflicts: Evidence from a Comparison of the Dividend Policies of Japanese and U.S. Firms

Published: 12/17/2002   |   DOI: 10.1111/0022-1082.00038

Kathryn L. Dewenter, Vincent A. Warther

We compare dividend policies of U.S. and Japanese firms, partitioning the Japanese data into keiretsu, independent, and hybrid firms. We examine the correlation between dividend changes and stock returns, and the reluctance to change dividends. Results are consistent with the joint hypotheses that Japanese firms, particularly keiretsu‐member firms, face less information asymmetry and fewer agency conflicts than U.S. firms, and that information asymmetries and/or agency conflicts affect dividend policy. Japanese firms experience smaller stock price reactions to dividend omissions and initiations, they are less reluctant to omit and cut dividends, and their dividends are more responsive to earnings changes.

High‐Frequency Trading around Large Institutional Orders

Published: 02/14/2019   |   DOI: 10.1111/jofi.12759

VINCENT VAN KERVEL, ALBERT J. MENKVELD

Liquidity suppliers lean against the wind. We analyze whether high‐frequency traders (HFTs) lean against large institutional orders that execute through a series of child orders. The alternative is HFTs trading with the wind, that is, in the same direction. We find that HFTs initially lean against these orders but eventually change direction and take positions in the same direction for the most informed institutional orders. Our empirical findings are consistent with investors trading strategically on their information. When deciding trade intensity, they seem to trade off higher speculative profits against higher risk of being detected and preyed on by HFTs.

Financial Expertise as an Arms Race

Published: 09/12/2012   |   DOI: 10.1111/j.1540-6261.2012.01771.x

VINCENT GLODE, RICHARD C. GREEN, RICHARD LOWERY

We show that firms intermediating trade have incentives to overinvest in financial expertise. In our model, expertise improves firms’ ability to estimate value when trading a security. Expertise creates asymmetric information, which, under normal circumstances, works to the advantage of the expert as it deters opportunistic bargaining by counterparties. This advantage is neutralized in equilibrium, however, by offsetting investments by competitors. Moreover, when volatility rises the adverse selection created by expertise triggers breakdowns in liquidity, destroying gains to trade and thus the benefits that firms hope to gain through high levels of expertise.

Stealth Acquisitions and Product Market Competition

Published: 06/14/2023   |   DOI: 10.1111/jofi.13256

JOHN D. KEPLER, VIC NAIKER, CHRISTOPHER R. STEWART

We examine whether and how firms structure their merger and acquisition deals to avoid antitrust scrutiny. There are approximately 40% more mergers and acquisitions (M&As) than expected just below deal value thresholds that trigger antitrust review. These “stealth acquisitions” tend to involve financial and governance contract terms that afford greater scope for negotiating and assigning lower deal values. We also show that the equity values, gross margins, and product prices of acquiring firms and their competitors increase following such acquisitions. Our results suggest that acquirers manipulate M&As to avoid antitrust scrutiny, thereby benefiting their own shareholders but potentially harming other corporate stakeholders.

Non‐Fundamental Speculation

Published: 06/01/1996   |   DOI: 10.1111/j.1540-6261.1996.tb02694.x

VICENTE MADRIGAL

We study an intertemporal asset market where insiders coexist with “non‐fundamental” speculators. Non‐fundamental speculators possess no private information on fundamental values of assets, but have superior knowledge about some aspect of the market environment. We show that the entry of these (rational) speculators can lead to reductions in market liquidity and in the information content of prices, even in an efficient market. Also, equilibrium trades display patterns of empirical interest. For example, speculators appear to chase trends and lose money after market “overreactions,” while insiders trade as contrarians and profit after such overreactions.

The Vote Is Cast: The Effect of Corporate Governance on Shareholder Value

Published: 09/12/2012   |   DOI: 10.1111/j.1540-6261.2012.01776.x

VICENTE CUÑAT, MIREIA GINE, MARIA GUADALUPE

This paper investigates whether improvements in the firm's internal corporate governance create value for shareholders. We analyze the market reaction to governance proposals that pass or fail by a small margin of votes in annual meetings. This provides a clean causal estimate that deals with the endogeneity of internal governance rules. We find that passing a proposal leads to significant positive abnormal returns. Adopting one governance proposal increases shareholder value by 2.8%. The market reaction is larger in firms with more antitakeover provisions, higher institutional ownership, and stronger investor activism for proposals sponsored by institutions. In addition, we find that acquisitions and capital expenditures decline and long‐term performance improves.

What Doesn't Kill You Will Only Make You More Risk‐Loving: Early‐Life Disasters and CEO Behavior

Published: 05/27/2016   |   DOI: 10.1111/jofi.12432

GENNARO BERNILE, VINEET BHAGWAT, P. RAGHAVENDRA RAU

The literature on managerial style posits a linear relation between a chief executive officer's (CEOs) past experiences and firm risk. We show that there is a nonmonotonic relation between the intensity of CEOs’ early‐life exposure to fatal disasters and corporate risk‐taking. CEOs who experience fatal disasters without extremely negative consequences lead firms that behave more aggressively, whereas CEOs who witness the extreme downside of disasters behave more conservatively. These patterns manifest across various corporate policies including leverage, cash holdings, and acquisition activity. Ultimately, the link between CEOs’ disaster experience and corporate policies has real economic consequences on firm riskiness and cost of capital.

Price and Probability: Decomposing the Takeover Effects of Anti‐Takeover Provisions

Published: 04/22/2020   |   DOI: 10.1111/jofi.12908

VICENTE CUÑAT, MIREIA GINÉ, MARIA GUADALUPE

We study the effects of anti‐takeover provisions (ATPs) on the takeover probability, the takeover premium, and target selection. Voting to remove an ATP increases both the takeover probability and the takeover premium, that is, there is no evidence of a trade‐off between premiums and takeover probabilities. We provide causal estimates based on shareholder proposals to remove ATPs and address the endogenous selection of targets through bounding techniques. The positive premium effect in less protected firms is driven by better bidder‐target matching and merger synergies.

Picking Winners? Investment Consultants’ Recommendations of Fund Managers

Published: 05/05/2015   |   DOI: 10.1111/jofi.12289

TIM JENKINSON, HOWARD JONES, JOSE VICENTE MARTINEZ

Investment consultants advise institutional investors on their choice of fund manager. Focusing on U.S. actively managed equity funds, we analyze the factors that drive consultants’ recommendations, what impact these recommendations have on flows, and how well the recommended funds perform. We find that investment consultants’ recommendations of funds are driven largely by soft factors, rather than the funds’ past performance, and that their recommendations have a significant effect on fund flows. However, we find no evidence that these recommendations add value, suggesting that the search for winners, encouraged and guided by investment consultants, is fruitless.

Nonstandard Errors

Published: 04/17/2024   |   DOI: 10.1111/jofi.13337

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.