One indicator to rule them all - the Piotroski F-Score

Thursday, Jun 14 2012 by
26
One indicator to rule them all  the Piotroski FScore

Many stock market traders follow “momentum” strategies that focus on buying stocks in line with the trend in their price movements. Prices have strange but predictable behaviour… a price that has been moving up in the recent past has a strong tendency to continue moving up in the near future. Trend trading has been show in dozens of research papers and in the fortunes of many traders to work incredibly well.

But while traders have developed a legion of indicators, such as relative strength or moving averages, to spot companies showing momentum in a company’s price rarely have they developed or understood indicators that highlight the momentum in a company’s fundamentals. Surely if such an indicator existed it would also have some kind of predictive quality?

The truth is that just such an indicator does exist and a body of research is now building that show it to be an astonishingly predictive indicator of long term company health and share price movements. But in spite of this, it is still largely misunderstood or ignored by most investors.

Enter Fundamental Momentum

The indicator in question is known as the F-Score and its origin I will explain shortly. It is extremely simple to calculate for a single company as it’s a checklist of nine rules that a company either passes or fails to create a score between zero and nine (see the bottom of this page for details). Each of these rules looks at one aspect of a company’s financials, with six of the nine rules looking at the change in a company’s financials. Whereas most ratios look solely at a company’s current financial state, the F-Score looks more deeply into the direction in which it’s financial state is moving, and herein lies it’s secret sauce - it captures fundamental momentum in a single number. (See this article on How to calculate the F-Score).

It was developed by Josef Piotroski, a Stanford Finance Professor, in the 1990s who wished to figure out how to separate the wheat from the chaff amongst bargain stocks. In the bargain basement of the stock market there is a huge variability of returns as when stocks get beaten down they either recover magnificently, dawdle or just go dramatically bust. Piotroski developed the F-Score to discover which companies in this segment of the market were most likely to recover, with astonishing results.

Piotroski’s classic strategy,…

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Disclaimer:  

As per our Terms of Use, Stockopedia is a financial news & data site, discussion forum and content aggregator. Our site should be used for educational & informational purposes only. We do not provide investment advice, recommendations or views as to whether an investment or strategy is suited to the investment needs of a specific individual. You should make your own decisions and seek independent professional advice before doing so. Remember: Shares can go down as well as up. Past performance is not a guide to future performance & investors may not get back the amount invested. ?>


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3 Comments on this Article show/hide all

Daytona 29th Jan '16 1 of 3

A good strategy given the decades of supporting academic research.

in Japan the F-Score has been found to be ineffective

It hasn't stopped SG from including Japanese stocks in their Quality Income index tho. Country and currency diversification may be a danger as can be seen from the current holdings -

Country summary


64.80 Germany
14.21 Netherlands
9.63 Japan
6.81 Belgium
2.16 UK
1.80 Norway
1.20 Switzerland
0.79 Denmark
0.76 Austria
0.13 Sweden

https://sglistedproducts.co.uk/site_mlp_uk/product...

133 holdings out of 155 are below 1% - I wonder at the point of such small holdings unless SG are attempting to increase their fees from trading during the quarterly rebalance !

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vik2001 29th Jan '16 2 of 3

great article. Ed whats your opinions on companies with a high F score of 9, but with mkt cap <20m ??

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BottleMerchant 3rd Feb '16 3 of 3
2

In the original research paper, Piotroski found that the F-score generated higher returns only for small to medium sized companies (smallest 2/3rd by capitalization) with the best returns being for the smallest 1/3rd companies. The rationale was that the F-score helped identify recovering companies that had been overlooked by most of the market.

This capitalization filter is almost always missing in the Piotroski screeners I have seen. Any reason for this ? Was there research showing that there was a significant return for larger companies as well ?

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About Edward Croft

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