Manganese X Energy Stock Market Value
| MN Stock | CAD 0.09 0.01 6.25% |
| Symbol | Manganese |
Manganese X Energy Price To Book Ratio
Manganese '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 Manganese'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 Manganese.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Manganese on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Manganese X Energy or generate 0.0% return on investment in Manganese over 90 days. Manganese X Energy Corp. engages in the acquisition and exploration of mineral properties in Canada More
Manganese 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 Manganese'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 Manganese X Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 15.1 | |||
| Information Ratio | 0.1274 | |||
| Maximum Drawdown | 62.86 | |||
| Value At Risk | (20.00) | |||
| Potential Upside | 25.0 |
Manganese Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Manganese's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Manganese's standard deviation. In reality, there are many statistical measures that can use Manganese historical prices to predict the future Manganese's volatility.| Risk Adjusted Performance | 0.1069 | |||
| Jensen Alpha | 1.29 | |||
| Total Risk Alpha | 3.2 | |||
| Sortino Ratio | 0.0951 | |||
| Treynor Ratio | (29.90) |
Manganese X Energy Backtested Returns
Manganese is out of control given 3 months investment horizon. Manganese X Energy has Sharpe Ratio of 0.13, which conveys that the firm had a 0.13 % return per unit of risk over the last 3 months. We were able to interpolate twenty-eight different technical indicators, which can help you to evaluate if expected returns of 1.35% are justified by taking the suggested risk. Use Manganese X Energy Downside Deviation of 15.1, risk adjusted performance of 0.1069, and Mean Deviation of 7.09 to evaluate company specific risk that cannot be diversified away. Manganese holds a performance score of 10 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of -0.0433, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Manganese are expected to decrease at a much lower rate. During the bear market, Manganese is likely to outperform the market. Use Manganese X Energy treynor ratio and the relationship between the downside variance and day median price , to analyze future returns on Manganese X Energy.
Auto-correlation | 0.13 |
Insignificant predictability
Manganese X Energy has insignificant predictability. Overlapping area represents the amount of predictability between Manganese time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Manganese X Energy price movement. The serial correlation of 0.13 indicates that less than 13.0% of current Manganese price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Manganese X Energy lagged returns against current returns
Autocorrelation, which is Manganese 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 Manganese's stock expected returns. We can calculate the autocorrelation of Manganese returns to help us make a trade decision. For example, suppose you find that Manganese 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 |
Manganese 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 Manganese stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Manganese stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Manganese stock over time.
Current vs Lagged Prices |
| Timeline |
Manganese Lagged Returns
When evaluating Manganese's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Manganese stock have on its future price. Manganese 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, Manganese autocorrelation shows the relationship between Manganese stock current value and its past values and can show if there is a momentum factor associated with investing in Manganese X Energy.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Manganese Stock Analysis
When running Manganese's price analysis, check to measure Manganese's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Manganese is operating at the current time. Most of Manganese's value examination focuses on studying past and present price action to predict the probability of Manganese's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Manganese's price. Additionally, you may evaluate how the addition of Manganese to your portfolios can decrease your overall portfolio volatility.