Chhatwani, Malvika (2022) Does robo-advisory increase retirement worry? A causal explanation. Managerial Finance, 48 (4). pp. 611-628. ISSN 03074358
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Abstract
Purpose
Artificial intelligence and robo-advisory have become prevalent in the finance industry, and many people rely on robots instead of humans for financial advice. This study aims to examine whether robo-advisory increases retirement worry based on agency theory and rational choice theory.
Design/methodology/approach
The present study investigate whether relying on robots for financial advice increases retirement-related worry in the present study. Using a sample of 1915 investors from the National Financial Capability Study (NCFS) survey, the author conducted instrumental variable regression analysis to examine the causal linkage.
Findings
Using fear of financial fraud as an instrument variable, the study provides a causal explanation of the linkage between robo-advisory usage and retirement worry. After controlling for sociodemographic and financial literacy-related variables, it is found that robo-advisory increases retirement worry.
Originality/value
Findings of the study emphasize on downsides of the artificial intelligence-enabled robo-advisory for financial planning. This article provides evidence that a lack of human involvement in financial planning may lead to increased worry among investors, which calls for attention from the regulators and policymakers.
Item Type: | Article |
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Keywords: | Financial advice | Financial fraud | Financial literacy | Retirement worry | Robo-advisory |
Subjects: | Social Sciences and humanities > Economics, Econometrics and Finance > Banking and Finance |
JGU School/Centre: | Jindal School of Banking & Finance |
Depositing User: | Mr. Syed Anas |
Date Deposited: | 01 Mar 2022 05:54 |
Last Modified: | 22 Feb 2023 06:53 |
Official URL: | https://doi.org/10.1108/MF-05-2021-0195 |
Additional Information: | The author of the present study would like to thank the FINRA Investor Education Foundation for providing the data used in this manuscript. |
URI: | https://pure.jgu.edu.in/id/eprint/1421 |
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