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Coursera (Coursera) Predictability Rank


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What is Coursera Predictability Rank?

Not Rated

Warren Buffett said many times that the companies he likes are:

1. Simple businesses that he understands
2. that have predictable and proven earnings and
3. with economic moat
4. those can be bought at a reasonable price.

It is hard to quantify "simple businesses that he (Buffett) understands", so we will focus on the other three characteristics instead. In GuruFocus Research: What worked in the market from 1998-2008? Part I: Introduction of Predictability Rank, we will show that the businesses that have predictable and proven earnings are usually also simple businesses that an average person could understand.

GuruFocus conducted a back test study of Warren Buffett's strategy of "buying good companies at fair prices" for the years from 1998-2008.


Coursera Predictability Rank Calculation

In our database there are 2403 stocks that have been traded from Jan. 2, 1998 to Aug. 31, 2008. We have the complete 10-year financial data and trading prices of these companies for this period. We rank the predictability of these companies based on the consistency of their revenue per share and EBITDA (earning before interest, tax, depreciation and amortization) per share over the past ten fiscal years, and study the correlation between the stock performances and the predictability of the business.

Our study may be subject to these biases and assumptions:

Dividend yields are not counted for investment returns
Effects of price changes due to spin-offs may not be fully adjusted
Study is subjected to survivorship bias due to de-listing, bankruptcy, LBO, M&A, etc.

The correlation between business predictability and investment returns of a company is showed below.

Correlation Between Business Predictability and Investment Returns

PredictablesNon-PredictableAll stocks
Total Number of stocks57018332403
Total Lost Money61830891
Total Lost More Than 50%18412430
Total Lost More Than 90%48690
Average Gain260.6%100.0%138.1%
Median Gain150.0%13.0%39.0%
Maximum Gain2852.0%11483.0%11483.0%
Maximum Loss-100.0%-100.0%-100.0%
Annualized Average Gain12.7%6.7%8.4%
Annualized Median Gain8.9%1.1%3.1%


















For the 570 predictable companies, we have seen strong correlation between the predictability of businesses and the stock performances over the past 10 years, regardless of the valuation of business at 1998. Accordingly, we have ranked the business predictability from 5-star to 1-star, as shown in this table.

Predictability Rank5-Star4.5-Star4-Star3.5-Star3-Star2.5-Star2-Star1-Star (non-predictable)Average among all
% Out of All 2403 Stocks 3.3% 2.9% 3.7% 3.3% 3.3% 3.7% 3.3% 76.3% 100%
% that are in Loss (10y) 3% 10% 8% 9% 11% 18% 16% 45% 37%
Average Gain (10y) 364.6% 330.9% 278.0% 235.1% 243.5% 227.8% 154.8% 100.0% 138.1%
Median Gain (10y) 238.5% 193.5% 171.0% 159.0% 132.5% 113.5% 87.0% 13.0% 39.0%
Maximum Gainer 2228.0% 2547.0% 2452.0% 2852.0% 2432.0% 1892.0% 1807.0% 11483.0% 11483.0%
Maximum Loser -82.0% -53.0% -67.0% -100.0% -83.0% -100.0% -78.0% -100.0% -100.0%
Annualized Average Gain 15.4% 14.6% 13.2% 12.0% 12.2% 11.7% 9.1% 6.7% 8.4%
Annualized Median Gain 12.1% 10.6% 9.8% 9.3% 8.2% 7.3% 6.0% 1.1% 3.1%
















For detailed information about each predictability rank, please go to GuruFocus Research: What worked in the market from 1998-2008? Part I: Introduction of Predictability Rank

Also read:

Part II: What worked in the market from 1998-2008? Part II: Role of Valuations
Part III: Intrinsic Value, Discounted Cash Flow and Margin of Safety

Coursera Predictability Rank Related Terms

Thank you for viewing the detailed overview of Coursera's Predictability Rank provided by GuruFocus.com. Please click on the following links to see related term pages.


Coursera (Coursera) Business Description

Traded in Other Exchanges
Address
381 E. Evelyn Avenue, Mountain View, CA, USA, 94041
Coursera Inc is an online learning platform that connects learners, educators, and institutions with the goal of providing world-class educational content that is affordable, accessible, and relevant. It combines content, data, and technology into a single, unified platform that is customizable and extensible to both individual learners and institutions. The platform will contain a catalog of high-quality content and credentials, content developed by university and industry partners, data and machine learning drive personalized Learning, effective marketing, and skills Benchmarking and others. The company operates through three reporting segments: Consumer, Enterprise, and Degrees. Majority of revenue is generated from Consumer segment.
Executives
Jeffrey Nacey Maggioncalda director, officer: See Remarks 1804 EMBARCADERO ROAD, PALO ALTO CA 94303
Andrew Y. Ng director 381 E. EVELYN AVE., MOUNTAIN VIEW CA 94041
Shravan Goli officer: See Remarks 1040 AVENUE OF THE AMERICAS, NEW YORK NY 10016
Kenneth R Hahn officer: See Remarks C/O BORLAND SOFTWARE CORP, 100 ENTERPRISE WAY, SCOTTS VALLEY CA 95066-3249
Michele M Meyers officer: See Remarks 601 RIVERSIDE AVENUE, JACKSONVILLE FL 32207
Richard J Jacquet officer: See Remarks BELL MICRO, 1941 RINGWOOD AVE., SAN JOSE CA 95131
Alan B Cardenas officer: SVP, General Counsel 381 E. EVELYN AVENUE, MOUNTAIN VIEW CA 94041
Leah F. Belsky officer: See Remarks 381 E. EVELYN AVE., MOUNTAIN VIEW CA 94041
Amanda Clark director PO BOX 99900, LOUISVILLE KY 40269
Susan W. Muigai director C/O TRANSUNION, 555 WEST ADAMS STREET, CHICAGO IL 60661
Sabrina Simmons director GAP INC., 2 FOLSOM STREET, SAN FRANCISCO CA 94105
Carmen Chang director 2855 SAND HILL ROAD, MENLO PARK CA 94025
Christopher D. Mccarthy director 381 E. EVELYYN AVE., MOUNTAIN VIEW CA 94041
Mustafa S. Furniturewala officer: SVP, Engineering 381 E. EVELYN AVE., MOUNTAIN VIEW CA 94041
Xueyan Wang officer: See Remarks 381 E. EVELYN AVE., MOUNTAIN VIEW CA 94041