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SCWorx (SCWorx) Predictability Rank


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What is SCWorx 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.


SCWorx 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

SCWorx Predictability Rank Related Terms

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SCWorx (SCWorx) Business Description

Traded in Other Exchanges
Address
590 Madison Avenue, 21st Floor, New York, NY, USA, 10022
SCWorx Corp is a provider of data content and services related to the repair, normalization, and interoperability of information for healthcare providers, as well as big data analytics for the healthcare industry. Its software enables a healthcare provider to simplify and organize its data, allows the data to be utilized across multiple internal software applications and provides the basis for sophisticated data analytics.
Executives
Vincent Michael Matozzo director 412 RICHARD LANE, ORANGE CT 06477
Christopher John Kohler officer: Chief Financial Officer 1149 CANTERBERRY LN, PARKER CO 80138
Steven Wallitt director C/O SCWORX CORP., 590 MADISON AVENUE, 21ST FLOOR, NEW YORK NY 10022
John C Ferrara director C/O EDGAR ONLINE, INC., 50 WASHINGTON STREET, NORWALK CT 06854
Steven Ross Horowitz director 4 MELISSA COURT, MONTVILLE NJ 07045
Marc Sanford Schessel director, 10 percent owner, officer: CEO 4 JACOBS LANE, NEW PALTZ NY 12561
Irby Alton F Iii director C/O MCKESSON CORP, ONE POST ST., SAN FRANCISCO CA 94104
Miller Charles Kenneth Iii director 100 METROPLEX, EDISON NJ 08817
Timothy Andrew Hannibal officer: President, COO 590 MADISON AVE, NEW YORK NY 10022
Mark Shefts director 160 SUMMIT AVE, MONTVALE NJ 07645
John C Price other: Former CFO 4721 IRONTON STREET, BUILDING A, DENVER CO 80239
Robert Steven Christie director 34 SAN MARCO STREET, WEST WINDSOR NJ 08550
Ira E. Ritter director C/O RITTER PHARMACEUTICALS INC., 1801 CENTURY PARK EAST, SUITE 1820, LOS ANGELES CA 90096
Knuettel Ii Francis director 205 NEWBURY ST, SUITE 204, FRAMINGHAM MA 01701
James Thaddeus Schweikert officer: Chief Operating Officer 7783 SOARING EAGLE CT., CINCINNATI OH 45244

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