| MPVD Stock | | | CAD 0.11 0.01 10.00% |
This module uses fundamental data of Mountain Province to approximate its Piotroski F score. Mountain Province F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Mountain Province Diamonds. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Mountain Province financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Mountain Province Diamonds. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in board of governors.
At this time, Mountain Province's
Debt Ratio is very stable compared to the past year. As of the 29th of December 2024,
Cash Flow To Debt Ratio is likely to grow to 0.49, while
Short Term Debt is likely to drop about 165.3
K. At this time, Mountain Province's
Sales General And Administrative To Revenue is very stable compared to the past year. As of the 29th of December 2024,
Average Inventory is likely to grow to about 44.4
M, while
Price To Sales Ratio is likely to drop 0.15.
At this time, it appears that Mountain Province's Piotroski F Score is Inapplicable. Although some professional money managers and academia have recently criticized
Piotroski F-Score model, we still consider it an effective method of
predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
5.0
Piotroski F Score - Inapplicable
| Change in Return on Assets | |
| Cash Flow Return on Assets | |
| Current Quality of Earnings (accrual) | |
| Long Term Debt Over Assets Change | Lower Leverage| Focus | |
| Change In Outstending Shares | |
Mountain Province Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Mountain Province is to make sure Mountain is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Mountain Province's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Mountain Province's financial numbers are properly reported.
Mountain Province F Score Driver Matrix
One of the toughest challenges investors face today is learning how to quickly synthesize historical
financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Mountain Province's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Mountain Province in a much-optimized way.
Click cells to compare fundamentals
About Mountain Province Piotroski F Score
F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled
Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.
About Mountain Province Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Mountain Province Diamonds's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Mountain Province using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Mountain Province Diamonds based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing
financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our
fundamental analysis page.
Pair Trading with Mountain Province
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Mountain Province position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Mountain Province will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Mountain Province could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Mountain Province when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Mountain Province - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Mountain Province Diamonds to buy it.
The correlation of Mountain Province is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Mountain Province moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mountain Province moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Mountain Province can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Other Information on Investing in Mountain Stock
Mountain Province financial ratios help investors to determine whether Mountain Stock is cheap or expensive when compared to a particular measure, such as profits or
enterprise value. In other words, they help investors to determine the cost of investment in Mountain with respect to the benefits of owning Mountain Province security.