/term/PFD/SHSE:600767 Winsan (Chengdu) Medical Science And Technology Co (SHSE:600
GURUFOCUS.COM » STOCK LIST » Healthcare » Healthcare Providers & Services » Winsan (Chengdu) Medical Science And Technology Co Ltd (SHSE:600767) » Definitions » Probability of Financial Distress (%)

Winsan (Chengdu) Medical Science And Technology Co (SHSE:600767) Probability of Financial Distress (%) : 0.00% (As of Jun. 20, 2024)


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What is Winsan (Chengdu) Medical Science And Technology Co 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, Winsan (Chengdu) Medical Science And Technology Co's Probability of Financial Distress (%) is 0.00%.

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 Winsan (Chengdu) Medical Science And Technology Co's Probability of Financial Distress (%)

For the Health Information Services subindustry, Winsan (Chengdu) Medical Science And Technology Co'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.


Winsan (Chengdu) Medical Science And Technology Co's Probability of Financial Distress (%) Distribution in the Healthcare Providers & Services Industry

For the Healthcare Providers & Services industry and Healthcare sector, Winsan (Chengdu) Medical Science And Technology Co's Probability of Financial Distress (%) distribution charts can be found below:

* The bar in red indicates where Winsan (Chengdu) Medical Science And Technology Co's Probability of Financial Distress (%) falls into.



Winsan (Chengdu) Medical Science And Technology Co 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
=0.00

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

PFD=1/(1 + e^(-LPFD))*100%
=0.00%

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).


Winsan (Chengdu) Medical Science And Technology Co  (SHSE:600767) 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.


Winsan (Chengdu) Medical Science And Technology Co Probability of Financial Distress (%) Related Terms

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Winsan (Chengdu) Medical Science And Technology Co (SHSE:600767) Business Description

Traded in Other Exchanges
N/A
Address
No. 69 Dongfang Road, Unit 1102-1104, Pudong New District, Shanghai, CHN, 200120
Winsan (Chengdu) Medical Science And Technology Co Ltd are engaged in technology development, technical consultation, and technical services in the field of public health and regional medical information. The company projects include Lishui Population Health Information PPP project which includes home pension, chronic disease management, remote diagnosis and treatment, medical insurance, and pharmacy services. It covers approximately 33 public health service agencies, 23 public hospitals, 193 township health centers, and 983 health service stations.
Executives
Ma Wei Guo Director
Hua En Min senior management
Jiang Hui Fang senior management
Guan Wen Lian Director
Luo Yong Jian Director
Zhou Luo Man Supervisors
Qian Min Hua Director
Wu Ai Qun Supervisors
Liang Yong Xin Director

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