I Minerals Stock Market Value
IMAHF Stock | USD 0.01 0.00 0.00% |
Symbol | IMAHF |
I Minerals '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 I Minerals' pink sheet 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 I Minerals.
05/04/2023 |
| 11/24/2024 |
If you would invest 0.00 in I Minerals on May 4, 2023 and sell it all today you would earn a total of 0.00 from holding I Minerals or generate 0.0% return on investment in I Minerals over 570 days. I Minerals is related to or competes with Amarc Resources, Aftermath Silver, and Aurelia Metals. I-Minerals Inc. engages in the exploration, evaluation, and development of mineral properties in the United States More
I Minerals 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 I Minerals' pink sheet 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 I Minerals upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | 0.1018 | |||
Maximum Drawdown | 50.0 |
I Minerals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for I Minerals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as I Minerals' standard deviation. In reality, there are many statistical measures that can use I Minerals historical prices to predict the future I Minerals' volatility.Risk Adjusted Performance | 0.1032 | |||
Jensen Alpha | 0.6746 | |||
Total Risk Alpha | (0.22) | |||
Treynor Ratio | 1.24 |
I Minerals Backtested Returns
I Minerals appears to be out of control, given 3 months investment horizon. I Minerals holds Efficiency (Sharpe) Ratio of 0.12, which attests that the company had a 0.12% return per unit of volatility over the last 3 months. By analyzing I Minerals' technical indicators, you can evaluate if the expected return of 0.77% is justified by implied risk. Please utilize I Minerals' market risk adjusted performance of 1.25, and Coefficient Of Variation of 812.4 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, I Minerals holds a performance score of 9. The firm retains a Market Volatility (i.e., Beta) of 0.6, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, I Minerals' returns are expected to increase less than the market. However, during the bear market, the loss of holding I Minerals is expected to be smaller as well. Please check I Minerals' variance, maximum drawdown, as well as the relationship between the Maximum Drawdown and rate of daily change , to make a quick decision on whether I Minerals' current trending patterns will revert.
Auto-correlation | -0.44 |
Modest reverse predictability
I Minerals has modest reverse predictability. Overlapping area represents the amount of predictability between I Minerals time series from 4th of May 2023 to 13th of February 2024 and 13th of February 2024 to 24th of November 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 I Minerals price movement. The serial correlation of -0.44 indicates that just about 44.0% of current I Minerals price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.44 | |
Spearman Rank Test | -0.23 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
I Minerals lagged returns against current returns
Autocorrelation, which is I Minerals pink sheet'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 I Minerals' pink sheet expected returns. We can calculate the autocorrelation of I Minerals returns to help us make a trade decision. For example, suppose you find that I Minerals has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
I Minerals 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 I Minerals pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if I Minerals pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in I Minerals pink sheet over time.
Current vs Lagged Prices |
Timeline |
I Minerals Lagged Returns
When evaluating I Minerals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of I Minerals pink sheet have on its future price. I Minerals 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, I Minerals autocorrelation shows the relationship between I Minerals pink sheet current value and its past values and can show if there is a momentum factor associated with investing in I Minerals.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in IMAHF Pink Sheet
I Minerals financial ratios help investors to determine whether IMAHF Pink Sheet 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 IMAHF with respect to the benefits of owning I Minerals security.