Mountain Province Diamonds Stock Market Value
| MPVD Stock | CAD 0.11 0.01 10.00% |
| Symbol | Mountain |
Mountain Province Price To Book Ratio
Mountain Province 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Mountain Province's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Mountain Province.
| 07/02/2024 |
| 12/29/2024 |
If you would invest 0.00 in Mountain Province on July 2, 2024 and sell it all today you would earn a total of 0.00 from holding Mountain Province Diamonds or generate 0.0% return on investment in Mountain Province over 180 days. Mountain Province Diamonds Inc., through its subsidiaries, focuses on the mining and marketing of rough diamonds worldwi... More
Mountain Province Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Mountain Province's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Mountain Province Diamonds upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 30.95 | |||
| Value At Risk | (9.09) | |||
| Potential Upside | 9.09 |
Mountain Province Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mountain Province's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mountain Province's standard deviation. In reality, there are many statistical measures that can use Mountain Province historical prices to predict the future Mountain Province's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.29) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | 0.7354 |
Mountain Province Backtested Returns
Mountain Province has Sharpe Ratio of -0.0753, which conveys that the firm had a -0.0753% return per unit of risk over the last 3 months. Mountain Province exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Mountain Province's Standard Deviation of 6.0, risk adjusted performance of (0.03), and Mean Deviation of 3.92 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of -0.41, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Mountain Province are expected to decrease at a much lower rate. During the bear market, Mountain Province is likely to outperform the market. At this point, Mountain Province has a negative expected return of -0.43%. Please make sure to verify Mountain Province's potential upside, kurtosis, rate of daily change, as well as the relationship between the skewness and daily balance of power , to decide if Mountain Province performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.24 |
Weak predictability
Mountain Province Diamonds has weak predictability. Overlapping area represents the amount of predictability between Mountain Province time series from 2nd of July 2024 to 30th of September 2024 and 30th of September 2024 to 29th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Mountain Province price movement. The serial correlation of 0.24 indicates that over 24.0% of current Mountain Province price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | -0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Mountain Province lagged returns against current returns
Autocorrelation, which is Mountain Province stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Mountain Province's stock expected returns. We can calculate the autocorrelation of Mountain Province returns to help us make a trade decision. For example, suppose you find that Mountain Province has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Mountain Province regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Mountain Province stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mountain Province stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mountain Province stock over time.
Current vs Lagged Prices |
| Timeline |
Mountain Province Lagged Returns
When evaluating Mountain Province's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mountain Province stock have on its future price. Mountain Province autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Mountain Province autocorrelation shows the relationship between Mountain Province stock current value and its past values and can show if there is a momentum factor associated with investing in Mountain Province Diamonds.
Regressed Prices |
| Timeline |
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.Moving together with Mountain Stock
Moving against Mountain Stock
| 0.81 | FFH | Fairfax Financial | PairCorr |
| 0.81 | FFH-PC | Fairfax Fin Hld | PairCorr |
| 0.81 | RY-PM | Royal Bank | PairCorr |
| 0.78 | HUT | Hut 8 Mining | PairCorr |
| 0.77 | DBO | D Box Technologies | PairCorr |
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.