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.
AFA members can log in to view full-text articles below.
View past issues
Search the Journal of Finance:
Search results: 7.
Reverse Survivorship Bias
Published: 02/07/2013 | DOI: 10.1111/jofi.12030
JUHANI T. LINNAINMAA
Mutual funds often disappear following poor performance. When this poor performance is partly attributable to negative idiosyncratic shocks, funds' estimated alphas understate their true alphas. This paper estimates a structural model to correct for this bias. Although most funds still have negative alphas, they are not nearly as low as those suggested by the fund‐by‐fund regressions. Approximately 12% of funds have net four‐factor model alphas greater than 2% per year. All studies that run fund‐by‐fund regressions to draw inferences about the prevalence of skill among mutual fund managers are subject to reverse survivorship bias.
Do Limit Orders Alter Inferences about Investor Performance and Behavior?
Published: 07/15/2010 | DOI: 10.1111/j.1540-6261.2010.01576.x
JUHANI T. LINNAINMAA
Individual investors lose money around earnings announcements, experience poor posttrade returns, exhibit the disposition effect, and make contrarian trades. Using simulations and trading records of all individual investors in Finland, I find that these trading patterns can be explained in large part by investors' use of limit orders. These patterns arise mechanically because limit orders are price‐contingent and suffer from adverse selection. Reverse causality from behavioral biases to order choices does not appear to explain my findings. I propose a simple method for measuring a data set's susceptibility to this limit order effect.
Factor Momentum and the Momentum Factor
Published: 04/07/2022 | DOI: 10.1111/jofi.13131
SINA EHSANI, JUHANI T. LINNAINMAA
Momentum in individual stock returns relates to momentum in factor returns. Most factors are positively autocorrelated: the average factor earns a monthly return of six basis points following a year of losses and 51 basis points following a positive year. We find that factor momentum concentrates in factors that explain more of the cross section of returns and that it is not incidental to individual stock momentum: momentum‐neutral factors display more momentum. Momentum found in high‐eigenvalue principal component factors subsumes most forms of individual stock momentum. Our results suggest that momentum is not a distinct risk factor—it times other factors.
Return Seasonalities
Published: 02/22/2016 | DOI: 10.1111/jofi.12398
MATTI KELOHARJU, JUHANI T. LINNAINMAA, PETER NYBERG
A strategy that selects stocks based on their historical same‐calendar‐month returns earns an average return of 13% per year. We document similar return seasonalities in anomalies, commodities, and international stock market indices, as well as at the daily frequency. The seasonalities overwhelm unconditional differences in expected returns. The correlations between different seasonality strategies are modest, suggesting that they emanate from different systematic factors. Our results suggest that seasonalities are not a distinct class of anomalies that requires an explanation of its own, but rather that they are intertwined with other return anomalies through shared systematic factors.
Asset Managers: Institutional Performance and Factor Exposures
Published: 04/15/2021 | DOI: 10.1111/jofi.13026
JOSEPH GERAKOS, JUHANI T. LINNAINMAA, ADAIR MORSE
Using data on $18 trillion of assets under management, we show that actively managed institutional accounts outperformed strategy benchmarks by 75 (31) bps on a gross (net) basis during the period 2000 to 2012. Estimates from a Sharpe model imply that asset managers' outperformance came from factor exposures. If institutions had instead implemented mean‐variance efficient portfolios using index and institutional mutual funds available during the sample period, they would not have earned higher Sharpe ratios. Our results are consistent with the average asset manager having skill, managers competing for institutional capital, and institutions engaging in costly search to identify skilled managers.
The Misguided Beliefs of Financial Advisors
Published: 11/28/2020 | DOI: 10.1111/jofi.12995
JUHANI T. LINNAINMAA, BRIAN T. MELZER, ALESSANDRO PREVITERO
A common view of retail finance is that conflicts of interest contribute to the high cost of advice. Within a large sample of Canadian financial advisors and their clients, however, we show that advisors typically invest personally just as they advise their clients. Advisors trade frequently, chase returns, prefer expensive and actively managed funds, and underdiversify. Advisors' net returns of −3% per year are similar to their clients' net returns. Advisors do not strategically hold expensive portfolios only to convince clients to do the same; they continue to do so after they leave the industry.
Retail Financial Advice: Does One Size Fit All?
Published: 04/12/2017 | DOI: 10.1111/jofi.12514
STEPHEN FOERSTER, JUHANI T. LINNAINMAA, BRIAN T. MELZER, ALESSANDRO PREVITERO
Using unique data on Canadian households, we show that financial advisors exert substantial influence over their clients' asset allocation, but provide limited customization. Advisor fixed effects explain considerably more variation in portfolio risk and home bias than a broad set of investor attributes that includes risk tolerance, age, investment horizon, and financial sophistication. Advisor effects remain important even when controlling flexibly for unobserved heterogeneity through investor fixed effects. An advisor's own asset allocation strongly predicts the allocations chosen on clients' behalf. This one‐size‐fits‐all advice does not come cheap: advised portfolios cost 2.5% per year, or 1.5% more than life cycle funds.