A punt on the “Dogs of the Dow”

Simplicity is a virtue when it comes to investment strategies – and they don’t come much simpler than the “Dogs of the Dow”. Matthew Partridge explains what it is and how it works.

Simplicity is a virtue when it comes to investment strategies and they don't come much simpler than the "Dogs of the Dow", first outlined by asset manager Michael O'Higgins in his 1991 book, Beating The Dow. Put equal sums into the ten highest-yielding stocks in the Dow Jones index at the start of the year. Hold for a year, sell up, then repeat.

Two key assumptions underlie the approach. Firstly, that big blue-chip Dow stocks are unlikely to cut their dividends, so the downside risk is limited. Secondly, that dividend yields are a better measure of value than earnings. Earnings can be manipulated, but it is hard for a company consistently to pay out more than it can afford. In the 2000 edition of the book, O'Higgins argues that the strategy would have returned 18% a year from 1973 to 1998, compared with 13% from the market.

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Dr Matthew Partridge
Shares editor, MoneyWeek

Matthew graduated from the University of Durham in 2004; he then gained an MSc, followed by a PhD at the London School of Economics.

He has previously written for a wide range of publications, including the Guardian and the Economist, and also helped to run a newsletter on terrorism. He has spent time at Lehman Brothers, Citigroup and the consultancy Lombard Street Research.

Matthew is the author of Superinvestors: Lessons from the greatest investors in history, published by Harriman House, which has been translated into several languages. His second book, Investing Explained: The Accessible Guide to Building an Investment Portfolio, is published by Kogan Page.

As senior writer, he writes the shares and politics & economics pages, as well as weekly Blowing It and Great Frauds in History columns He also writes a fortnightly reviews page and trading tips, as well as regular cover stories and multi-page investment focus features.

Follow Matthew on Twitter: @DrMatthewPartri