Revealed Heuristics: Evidence from Investment Consultants’ Search Behavior

71 Pages Posted: 12 Nov 2018 Last revised: 15 Dec 2021

See all articles by Sudheer Chava

Sudheer Chava

Georgia Institute of Technology - Scheller College of Business

Soohun Kim

College of Business, Korea Advanced Institute of Science and Technology (KAIST)

Daniel Weagley

University of Tennessee, Knoxville

Date Written: May 1, 2019

Abstract

Using proprietary data from a major fund data provider, we analyze the screening activity of investment consultants (ICs) who advise institutional investors with trillions of dollars in assets. We find that ICs frequently shortlist funds using threshold screens clustered at round, base 5 or base 10 numbers: $500MM for AUM, 0% for the return net of a benchmark, and quartiles for return percentile rank screens. A fund’s probability of being eliminated by a screen is significantly negatively related to its future fund attention and flows, with funds just above the $500MM AUM threshold getting 14 to 18% more page views and 5 to 9 pps greater flows over the next year compared to similar funds just below the threshold. Our results are consistent with ICs using a two-stage, consider-then-choose decision making process, and cognitive reference numbers in selecting screening thresholds.

Keywords: cognitive reference points, heuristics, consider-then-choose, investment consultants, mutual funds, investor search, fund flows

JEL Classification: G41, G11, G14, G29, D83, D03

Suggested Citation

Chava, Sudheer and Kim, Soohun and Weagley, Daniel, Revealed Heuristics: Evidence from Investment Consultants’ Search Behavior (May 1, 2019). Review of Asset Pricing Studies, forthcoming, Georgia Tech Scheller College of Business Research Paper No. 18-44, 14th Annual Mid-Atlantic Research Conference in Finance (MARC), Available at SSRN: https://ssrn.com/abstract=3277424 or http://dx.doi.org/10.2139/ssrn.3277424

Sudheer Chava

Georgia Institute of Technology - Scheller College of Business ( email )

800 West Peachtree St.
Atlanta, GA 30308
United States

HOME PAGE: http://https://fintech.gatech.edu

Soohun Kim

College of Business, Korea Advanced Institute of Science and Technology (KAIST) ( email )

85 Hoegiro Dongdaemun-Gu
Seoul 02455
Korea, Republic of (South Korea)

Daniel Weagley (Contact Author)

University of Tennessee, Knoxville ( email )

437 Stokely Managment Center
Knoxville, TN 37996
United States

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