The Magic Formula
The Magic Formula strategy was first described by Joel Greenblatt in the 2005 best-selling book The Little Book That Beats the Market and in the 2010 follow-up, The Little Book That Still Beats the Market.
Greenblatt mentioned two criteria for stock investing in the book: valuation and the return on invested capital (ROIC).
Greenblatt’s online stock screener tool helps investors select the top 20-30 ranked companies to invest in, thereby, helping them avoid running fundamental analyses of stocks and companies. These company rankings are majorly based on:
- The company’s earnings which are calculated as earnings before interest and taxes.
- The company’s earnings yield, which is calculated as earnings per share divided by the current stock price.
- The company’s ability to generate earnings from its assets.
Investors who use The Magic Formula sell their losing stocks before they have owned them for more than a year to benefit from the income tax provision that allows them to use losses to offset their gains.
They further sell the winning stocks after a year to benefit from the reduced income tax rates on long-term capital gains. Later, they start the process once again.
Greenblatt tested this formula on the 2,500 largest companies and the result gave a formidable annual return of 23.7%, measured against the group’s average of 12.4% per year. The result was 22.9% for the 1,000 largest companies against the group’s average of 11.7%.
By dividing the shares into ten groups, where group 1 consisted of the ones that score best on the ranking, Greenblatt got the following return per group among the 2,500 largest shares:
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| 17.9% | 15.6% | 14.8% | 14.2% | 14.1% | 12.7% | 11.3% | 10.1% | 5.2% | 2.5% |
Overall, except for a period of three years, Greenblatt’s strategy outperformed the market 95% of the time. It is also worth mentioning that the standard deviation was lower than the market.
