Investing into the Abyss: The Continued Misclassification of Multi-Sector Managed Funds

The rapid expansion in assets managed by the Australian managed fund industry has resulted in it becoming a major sector of the financial system, second only to that of the banking industry. With more than A$550 billion invested in the industry investors should be concerned about the lack of reliabl...

Full description

Saved in:
Bibliographic Details
Main Authors: Allen, N., PHOON, Kok Fai, Watson, J., Wickramanayake, J.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2010
Subjects:
Online Access:https://ink.library.smu.edu.sg/lkcsb_research/1789
https://ink.library.smu.edu.sg/context/lkcsb_research/article/2788/viewcontent/Phoon_InvestingintoAbyss_MidwestConf2010.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.lkcsb_research-2788
record_format dspace
spelling sg-smu-ink.lkcsb_research-27882018-07-09T07:26:43Z Investing into the Abyss: The Continued Misclassification of Multi-Sector Managed Funds Allen, N. PHOON, Kok Fai Watson, J. Wickramanayake, J. The rapid expansion in assets managed by the Australian managed fund industry has resulted in it becoming a major sector of the financial system, second only to that of the banking industry. With more than A$550 billion invested in the industry investors should be concerned about the lack of reliable information available in regard to equity style management. In particular investors should be concerned about the probable mis-match between stated objectives and the actual objectives pursued by fund managers. In this study, we apply return-based style analysis (Sharpe 1988, 1992) to investigate the style and asset allocation strategies of 50 listed managed funds. Using monthly data we investigate manager performance on the basis of the information ratio and adopt a two-step approach following Lobosco and DiBartolomeo (1997) to generate confidence intervals for each of the estimated style weights. A significant contribution made by this paper is that in contrast to Lobosco and DiBartolomeo we initially identified asset classes (on the basis of low correlations and different risk-return measures) and then carried out return based style analysis thus negating the problem of spurious regression. Our findings confer with those of Lobosco and DiBartolomeo and thus suggest that the recommended daily data is not a requirement for constructing reliable style weights. This paper provides further evidence that Sharpe Style weights in conjunction with confidence intervals provide an insight into listed managed funds. 2010-02-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/1789 https://ink.library.smu.edu.sg/context/lkcsb_research/article/2788/viewcontent/Phoon_InvestingintoAbyss_MidwestConf2010.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University managed funds Return Based Style Analysis asset allocation confidence intervals Finance and Financial Management Portfolio and Security Analysis
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic managed funds
Return Based Style Analysis
asset allocation
confidence intervals
Finance and Financial Management
Portfolio and Security Analysis
spellingShingle managed funds
Return Based Style Analysis
asset allocation
confidence intervals
Finance and Financial Management
Portfolio and Security Analysis
Allen, N.
PHOON, Kok Fai
Watson, J.
Wickramanayake, J.
Investing into the Abyss: The Continued Misclassification of Multi-Sector Managed Funds
description The rapid expansion in assets managed by the Australian managed fund industry has resulted in it becoming a major sector of the financial system, second only to that of the banking industry. With more than A$550 billion invested in the industry investors should be concerned about the lack of reliable information available in regard to equity style management. In particular investors should be concerned about the probable mis-match between stated objectives and the actual objectives pursued by fund managers. In this study, we apply return-based style analysis (Sharpe 1988, 1992) to investigate the style and asset allocation strategies of 50 listed managed funds. Using monthly data we investigate manager performance on the basis of the information ratio and adopt a two-step approach following Lobosco and DiBartolomeo (1997) to generate confidence intervals for each of the estimated style weights. A significant contribution made by this paper is that in contrast to Lobosco and DiBartolomeo we initially identified asset classes (on the basis of low correlations and different risk-return measures) and then carried out return based style analysis thus negating the problem of spurious regression. Our findings confer with those of Lobosco and DiBartolomeo and thus suggest that the recommended daily data is not a requirement for constructing reliable style weights. This paper provides further evidence that Sharpe Style weights in conjunction with confidence intervals provide an insight into listed managed funds.
format text
author Allen, N.
PHOON, Kok Fai
Watson, J.
Wickramanayake, J.
author_facet Allen, N.
PHOON, Kok Fai
Watson, J.
Wickramanayake, J.
author_sort Allen, N.
title Investing into the Abyss: The Continued Misclassification of Multi-Sector Managed Funds
title_short Investing into the Abyss: The Continued Misclassification of Multi-Sector Managed Funds
title_full Investing into the Abyss: The Continued Misclassification of Multi-Sector Managed Funds
title_fullStr Investing into the Abyss: The Continued Misclassification of Multi-Sector Managed Funds
title_full_unstemmed Investing into the Abyss: The Continued Misclassification of Multi-Sector Managed Funds
title_sort investing into the abyss: the continued misclassification of multi-sector managed funds
publisher Institutional Knowledge at Singapore Management University
publishDate 2010
url https://ink.library.smu.edu.sg/lkcsb_research/1789
https://ink.library.smu.edu.sg/context/lkcsb_research/article/2788/viewcontent/Phoon_InvestingintoAbyss_MidwestConf2010.pdf
_version_ 1770570028638273536