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Peking University Resources (Holdings) Co (FRA:MKU0) Mohanram G-Score : 2 (As of Sep. 2024)


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What is Peking University Resources (Holdings) Co Mohanram G-Score?

Mohanram G-Score is a financial indicator developed by professor Partha Mohanram to help investors find the best investment opportunities in the growth stocks. Companies have higher G-score tends to generate higher return. According to his study, the best growth stocks that have a G-Score greater than 6 tend to beat the market, while those with a G-Score lower than 1 tend to have negative absolute returns.

Thus, the zones of discrimination were as such:

Good or high score = 6, 7, 8
Bad or low score = 0, 1

Peking University Resources (Holdings) Co has an G-score of 2.

The historical rank and industry rank for Peking University Resources (Holdings) Co's Mohanram G-Score or its related term are showing as below:

FRA:MKU0' s Mohanram G-Score Range Over the Past 10 Years
Min: 1   Med: 3   Max: 5
Current: 2

During the past 13 years, the highest Piotroski G-score of Peking University Resources (Holdings) Co was 5. The lowest was 1. And the median was 3.


Peking University Resources (Holdings) Co Mohanram G-Score Historical Data

The historical data trend for Peking University Resources (Holdings) Co's Mohanram G-Score can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

* Premium members only.

Peking University Resources (Holdings) Co Mohanram G-Score Chart

Peking University Resources (Holdings) Co Annual Data
Trend Dec13 Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Mar23 Mar24
Mohanram G-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only 4.00 2.00 2.00 1.00 2.00

Peking University Resources (Holdings) Co Semi-Annual Data
Jun14 Dec14 Jun15 Dec15 Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Sep22 Mar23 Sep23 Mar24 Sep24
Mohanram G-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only N/A 1.00 N/A 2.00 N/A

Competitive Comparison of Peking University Resources (Holdings) Co's Mohanram G-Score

For the Real Estate - Development subindustry, Peking University Resources (Holdings) Co's Mohanram G-Score, along with its competitors' market caps and Mohanram G-Score 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.


Peking University Resources (Holdings) Co's Mohanram G-Score Distribution in the Real Estate Industry

For the Real Estate industry and Real Estate sector, Peking University Resources (Holdings) Co's Mohanram G-Score distribution charts can be found below:

* The bar in red indicates where Peking University Resources (Holdings) Co's Mohanram G-Score falls into.


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Peking University Resources (Holdings) Co Mohanram G-Score Calculation

The calculation of the Mohanram G-score consists of eight criteria. Assign one point for each criterion met, then add up all the points to get the G-Score.

Profitability

Question 1. Return on Assets (ROA)

ROA % is calculated as Net Income divided by its average Total Assets over a certain period of time. It measures how well a company uses its asset to generate earnings.

Score 1 if ROA > ROA Industry Median, 0 otherwise.

Question 2. Cash ROA

Cash ROA equals to Cash Flow from Operations divided by average Total Assets. It measures how well a company uses its asset to generate cash.

Score 1 if Cash ROA > Cash ROA Industry Median, 0 otherwise.

Question 3. CFO and Net Income

Score 1 if CFO > Net Income, 0 otherwise.

Earnings Predictability

Question 4. Earnings Variability

Earnings Variability is measured as the variance of a firm's ROA in the past five years.

Score 1 if Earnings Variability < Earnings Variability Industry Median, 0 otherwise.

Question 5. Sales Growth Variability

Sales Growth Variability is measured as the 5-year variance in sales growth.

Score 1 if Sales Growth Variability < Sales Growth Variability Industry Median, 0 otherwise.

Accounting Conservatism

Question 6. Research & Development Intensity

Research & Development Intensity is calcualted by Research & Development divided by the beginning Total Assets.

Score 1 if Research & Development Intensity > Research & Development Intensity Industry Median, 0 otherwise.

Question 7. CAPEX Intensity

CAPEX Intensity is calcualted by Capital Expenditure divided by the beginning Total Assets.

Score 1 if CAPEX Intensity > CAPEX Intensity Industry Median, 0 otherwise.

Question 8. Advertising Expenditure Intensity

Advertising Expenditure Intensity is calcualted by Advertising Expenditure divided by the beginning Total Assets. Note that Advertising Expenditure is not reported as a seperate line item for many companies, thus Selling, General, & Admin. Expense is used in this calculation.

Score 1 if Advertising Expenditure Intensity > Advertising Expenditure Intensity Industry Median, 0 otherwise.

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

* Note that all the Industry Median used for comparison in his original research, are substituted with Sector Median due to the limitation of data within certain countries.

Good or high score = 6, 7, 8
Bad or low score = 0, 1

Peking University Resources (Holdings) Co has an G-score of 2.

Peking University Resources (Holdings) Co  (FRA:MKU0) Mohanram G-Score Explanation

Partha Mohanram is the John H. Watson Chair in Value Investing at Rotman and the Acting Vice-Dean of Research Strategy and Resources.

In 2000, he wrote a research paper called "Separating Winners from Losers Among Low Book-to-Market Stocks Using Financial Statement Analysis".

This paper tests whether a strategy based on financial statement analysis of low book-to-market (growth) stocks is successful in differentiating between winners and losers in terms of future stock performance. Based on the research, a strategy based on buying high G-score (6, 7 or 8) firms and shorting low G-score (0 or 1) firms consistently earns significant excess returns. Further, the results do not support a risk based explanation for the book-to-market effect as the strategy returns positive returns in all years, and firms that ex-ante appear less risky have better future returns.

To conclude, one can use a modified fundamental analysis strategy (G-score) to identify mispricing and earn substantial abnormal returns.


Peking University Resources (Holdings) Co Mohanram G-Score Related Terms

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Peking University Resources (Holdings) Co Business Description

Traded in Other Exchanges
Address
262 Gloucester Road, Room 2303, 23rd Floor, COFCO Tower, Causeway Bay, Hong Kong, HKG
Peking University Resources (Holdings) Co Ltd along with its subsidiaries, collectively the Group, is engaged in real estate development and commercial real estate operations. The principal activity of the Company is investment holding. The company's four reportable segments are Medical and Pharmaceutical Retail, offering Chinese medicine and consultation services, E-commerce and Distribution, selling appliances online and distributing information products, Property Development, focused on selling properties and Property Investment and Management, handling property leasing and management. It earns the majority of the revenue from the Property development segment.

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