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The Behavioural Implications of Passive Robo-Advising on Personal Savings - Evidence from Kron AS

Breistein, Hannah Nygård; Martin, Victoria Pauline
Master thesis
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URI
https://hdl.handle.net/11250/2688644
Date
2020
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  • Master of Science [963]
Abstract
The political shift and technological development since the 2008 financial crisis

have shaped a new era, taking financial wealth management to robo-advisory (RA).

This thesis studies the behavioural implications of a Norwegian passive roboadvisor

(RAr) that constructs tailored saving plans for retail investors. These

implications are investigated on individual and stereotype saving behaviour. Main

results show, that changes to invested capital and expected investment horizon are

the most relevant factors for diverse successes in passive robo-advising. Investors

providing supplementary capital at later points in time acquire a 3.4% higher Assets

under management (AUM) than investors who keep their invested capital constant.

Those who withdraw funds from the RAr marginally decrease their AUM. This

adjustment behaviour is different for distinct investor groups. Trend-chasing does

not explain this difference. Deviations from intended saving behaviour in the roboadvisor

are greater for stereotypes around age, gender, and residence, where age

was the main driver. Differences between stereotypes were reduced over time,

however individual differences in behaviour were not. To be beneficial for personal

savings, passive robo-advising has to be extended from pure portfolio advice to

counsel on adjusting invested capital. Identified possible solutions are to

incorporate indi􀁙id􀁘ali􀁗􀁜 in 􀁗he ad􀁙isor􀂶s c􀁘s􀁗omer assessmen􀁗 and notifying on

potential pitfalls concerning adjustments to invested capital.

Keywords - Robo-Advisory, FinTech, Behavioural Finance, Personal Traits,

Stereotypes, Decision-making, Investment Behaviour
Description
Masteroppgave(MSc) in Master of Science in Finance - Handelshøyskolen BI, 2020/Masteroppgave(MSc) in Master of Science in Business, Finance - Handelshøyskolen BI, 2020
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Handelshøyskolen BI

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