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ContextLogic (ContextLogic) Probability of Financial Distress (%) : 0.50% (As of May. 17, 2024)


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What is ContextLogic Probability of Financial Distress (%)?

Probability of Financial Distress (%) measures the probability that a company will go bankrupt in the upcoming year given its current financial position. A higher ratio indicates a larger probability of bankruptcy for the company, while a lower ratio indicates a healthier fundamental. As of today, ContextLogic's Probability of Financial Distress (%) is 0.50%.

Like the Altman Z-Score, the PFD measures a company's bankruptcy risk. However, the main drawback of the Z-score is it does not apply to banks and insurance companies. According to Investopedia, the concept of "working capital" does not apply to banks and insurance companies, as financial institutions do not have typical current assets or current liabilities like inventories or accounts payable.


Competitive Comparison of ContextLogic's Probability of Financial Distress (%)

For the Internet Retail subindustry, ContextLogic's Probability of Financial Distress (%), along with its competitors' market caps and Probability of Financial Distress (%) data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


ContextLogic's Probability of Financial Distress (%) Distribution in the Retail - Cyclical Industry

For the Retail - Cyclical industry and Consumer Cyclical sector, ContextLogic's Probability of Financial Distress (%) distribution charts can be found below:

* The bar in red indicates where ContextLogic's Probability of Financial Distress (%) falls into.



ContextLogic Probability of Financial Distress (%) Calculation

Probability of Financial Distress (%) (PFD) was developed by John Campbell, Jens Hilscher and Jan Szilagyi in their Search of Distress Risk. It measures the probability that a company will go bankrupt within the next 12 months given its current financial position.

The Probability of Financial Distress (%) was obtained by a logit probability model based on eight explanatory variables. The logit formula to compute the probability of financial distress (LPFD) is given below:

LPFD= -20.12 * NIMTAAVG + 1.60 * TLMTA - 7.88 * EXRETAVG + 1.55 * SIGMA - 0.005 * RSIZE - 2.27 * CASHMTA + 0.070 * MB - 0.09 * PRICE -8.87
=-5.30

The Probability of Financial Distress (%) (PFD) was then obtianed by:

PFD=1/(1 + e^(-LPFD))*100%
=0.50%

The eight explanatory variables are:

1. NIMTAAVG = Net Income to Market Total Assets

NIMTAAVG=Net Income / Market Total Assets
=Net Income / (Market Cap + Total Liabilities)

*Note that for companies reported quarterly, geometrically declining weighted quarterly Net Income data in latest four quarters are used.

2. TLMTA = Total liabilities to Market Total Assets

TLMTA=Total Liabilities / Market Total Assets

3. CASHMTA = Cash to Market Total Assets

For non-financial companies, CASHMTA is measured as:

CASHMTA=Cash, Cash Equivalents, Marketable Securities / Market Total Assets

4. EXRETAVG = Excess Return compared to the S&P 500

EXRETAVG is the weighted excess return compared to the S&P 500 in past 12 month. Geometrically declining weights are imposed on the monthly excess return to reflect lagged information. The weight is halved each quarter.

5. SIGMA = Standard Deviation of Daily Returns

For sigma, we use the annualized standard deviation of a company's returns over the past 92 days (or 63 trading days).

6. RSIZE = Relative Size

RSIZE=log (Market Cap / Total Market Cap of S&P 500 companies)

7. MB = Market to Adjusted Book Equity Ratio


8. PRICE

PRICE is measured as the log of the stock price, capped at log(15).


ContextLogic  (NAS:LOGC) Probability of Financial Distress (%) Explanation

Like the Altman Z-Score, the PFD measures a company's bankruptcy risk in the upcoming year. However, the main drawback of the Z-score is it does not apply to banks and insurance companies. According to Investopedia, the concept of "working capital" does not apply to banks and insurance companies, as financial institutions do not have typical current assets or current liabilities like inventories or accounts payable.


ContextLogic Probability of Financial Distress (%) Related Terms

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ContextLogic (ContextLogic) Business Description

Industry
Traded in Other Exchanges
Address
One Sansome Street, 33rd Floor, San Francisco, CA, USA, 94104
ContextLogic Inc is an online shopping store. The store provides personalized products, clothing products, accessories, gaming products and equipment, cosmetics, plastic products, mobile covers, and other products. Geographically, it derives a majority of revenue from Europe and also has a presence in North America; South America, and other countries.
Executives
Jerry Louis officer: Chief Technology Officer ONE SANSOME STREET, 33RD FLOOR, SAN FRANCISCO CA 94104
Stephanie Tilenius director C/O IRONPLANET, INC., 4695 CHABOT DRIVE, SUITE 102, PLEASANTON CA 94588
Mauricio Monico officer: Chief Product Officer ONE SANSOME STREET 33RD FLOOR, SAN FRANCISCO CA 94104
Jun Yan officer: CEO ONE SANSOME STREET, 33RD FLOOR, SAN FRANCISCO CA 94104
Ying Vivian Liu officer: CFO and COO ONE SANSOME STREET 33RD FLOOR, SAN FRANCISCO CA 94104
Lawrence M Kutscher director ONE DIAMOND HILL RD, MURRAY HILL NJ 07974
Brett Just officer: SVP, Finance ONE SANSOME STREET 40TH FLOOR, SAN FRANCISCO CA 94104
Shuyan (rachel) Wang officer: Head of Data Science ONE SANSOME STREET 33RD FLOOR, SAN FRANCISCO CA 94104
Tarun Kumar Jain officer: Chief Product Officer ONE SANSOME STREET 40TH FLOOR, SAN FRANCISCO CA 94104
Vijay Talwar director, officer: Chief Executive Officer 705 FIFTH AVENUE SOUTH, SUITE 900, SEATTLE WA 98104
Piotr Szulczewski director, 10 percent owner, officer: Founder, CEO, and Chairperson ONE SANSOME STREET 40TH FLOOR, SAN FRANCISCO CA 94104
Hans Tung director 3000 SAND HILL ROAD, BUILDING 4, SUITE 230, MENLO PARK CA 94025
Pai Liu officer: Vice President of Data Science ONE SANSOME STREET 40TH FLOOR, SAN FRANCISCO CA 94104
Devang Shah officer: General Counsel and Secretary 699 8TH STREET, SAN FRANCISCO CA 94103
Hamid Reza Kassaei officer: Chief Technology Officer ONE SANSOME STREET 40TH FLOOR, SAN FRANCISCO CA 94104

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