2012-03: Why are financial advisor participation rates so low? (Working paper)

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Author(s)
West, Jason
Griffith University Author(s)
Year published
2012
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This study presents a simple analytical framework to identify the key determinants underlying the incentives for households to engage financial advisors. Using the US 2007 Survey of Consumer Finances we employ a logistic regression approach to understand the characteristics of households who engage financial advisors for investment or comprehensive financial advice. We find that age, education, employment category, income and net worth are highly significant variables related to the propensity to engage a financial advisor. The results also indicate significantly reduced active engagement between advisors and low net worth ...
View more >This study presents a simple analytical framework to identify the key determinants underlying the incentives for households to engage financial advisors. Using the US 2007 Survey of Consumer Finances we employ a logistic regression approach to understand the characteristics of households who engage financial advisors for investment or comprehensive financial advice. We find that age, education, employment category, income and net worth are highly significant variables related to the propensity to engage a financial advisor. The results also indicate significantly reduced active engagement between advisors and low net worth investors than claimed by the low net worth investors in the survey. We construct a model to derive the expected fee profile of financial advisors as a function of wealth and compare the fee structure against a financial advisor client portfolio. We find that a combination of lower aggregate costs per investor and higher expected fee income motivates advisors to target higher net worth investors. Advisors therefore prefer higher net worth investors due to the lower aggregate costs of engagement which drives low investment participation rates by less wealthy households.
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View more >This study presents a simple analytical framework to identify the key determinants underlying the incentives for households to engage financial advisors. Using the US 2007 Survey of Consumer Finances we employ a logistic regression approach to understand the characteristics of households who engage financial advisors for investment or comprehensive financial advice. We find that age, education, employment category, income and net worth are highly significant variables related to the propensity to engage a financial advisor. The results also indicate significantly reduced active engagement between advisors and low net worth investors than claimed by the low net worth investors in the survey. We construct a model to derive the expected fee profile of financial advisors as a function of wealth and compare the fee structure against a financial advisor client portfolio. We find that a combination of lower aggregate costs per investor and higher expected fee income motivates advisors to target higher net worth investors. Advisors therefore prefer higher net worth investors due to the lower aggregate costs of engagement which drives low investment participation rates by less wealthy households.
View less >
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Copyright © 2010 by author(s). No part of this paper may be reproduced in any form, or stored in a retrieval system, without prior permission of the author(s).
Note
Finance
Subject
D12 - Consumer Economics: Empirical Analysis
G23 - Pension Funds; Other Private Financial Institutions; Institutional Investors
I22 - Educational Finance
Financial advisors
commissions
investor participation
logistic regression