Can Sustainable Withdrawal Rates Be Enhanced by Trend Following?
Clare, A.
ORCID: 0000-0002-4180-6778, Seaton, J., Smith, P. N. & Thomas, S. H. (2021).
Can Sustainable Withdrawal Rates Be Enhanced by Trend Following?.
International Journal of Finance and Economics, 26(1),
pp. 27-41.
doi: 10.1002/ijfe.1774
Abstract
We examine the consequences of alternative popular investment strategies for the decumulation of funds invested for retirement through a defined contribution pension scheme. We examine in detail the viability of specific ‘safe’ withdrawal rates including the ‘4%-rule’ of Bengen (1994). We find two powerful conclusions. First that smoothing the returns on individual assets by simple trend following techniques is a potent tool to enhance withdrawal rates. Second, we show that while diversification across asset classes does lead to higher withdrawal rates than simple equity/bond portfolios, “smoothing” returns in itself is far more powerful a tool for raising withdrawal rates. In fact, smoothing the popular equity/bond portfolios (such as the 60/40 portfolio) is in itself an excellent and simple solution to constructing a retirement portfolio. Alternatively, trend following enables portfolios to contain more risky assets, and the greater upside they offer, for the same level of overall risk compared to standard portfolios.
| Publication Type: | Article |
|---|---|
| Additional Information: | This is the peer reviewed version of the following article: Clare, A. , Seaton, J., Smith, P. N. and Thomas, S. H. (2019). Can Sustainable Withdrawal Rates Be Enhanced by Trend Following?. International Journal of Finance and Economics, which has been published in final form at https://onlinelibrary.wiley.com/journal/10.1002/ijfe.1774. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. |
| Publisher Keywords: | Sequence Risk; Perfect Withdrawal Rate; Decumulation; Trend Following |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management H Social Sciences > HG Finance |
| Departments: | Bayes Business School > Faculty of Finance |
| SWORD Depositor: |
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