'One size fits all' in private banking: implications for the wealth and asset management industry
Enrica Bolognesi,
Enrico Maria Cervellati,
Luca Grassetti and
Roberto Tasca
International Journal of Managerial and Financial Accounting, 2024, vol. 16, issue 2, 196-228
Abstract:
We focus on discretionary portfolio management to examine the impact of advisory on strategic asset allocation and its dynamics. We use a unique and proprietary dataset from a large European private bank of 5,627 clients that covers the period from 2005 to 2013. While high-net-worth clients opt for customised advisory, we show instead that allocations are quite similar across a range of clients; advisors are conservative and favour low-risk profiles regardless of clients' age. We observe a low number of active clients and provide evidence of the low extra returns generated by changes in the portfolio asset allocation. Finally, we highlight that changes in risk attitude mainly depend on portfolios' past performance and/or past market performance, suggesting that advisors are not effective in mitigating extrapolation bias and self-attribution bias. Overall, we provide evidence of the low level of tailoring, suggesting a 'one size fits all' approach in private banking.
Keywords: asset and wealth management; advisory; behavioural biases; linear mixed model analysis; private banking; portfolio customisation. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=137626 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:injmfa:v:16:y:2024:i:2:p:196-228
Access Statistics for this article
More articles in International Journal of Managerial and Financial Accounting from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().