Imperial Metals Stock Market Value
| III Stock | CAD 2.12 0.02 0.93% |
| Symbol | Imperial |
Imperial Metals Price To Book Ratio
Imperial Metals '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 Imperial Metals' 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 Imperial Metals.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Imperial Metals on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Imperial Metals or generate 0.0% return on investment in Imperial Metals over 30 days. Imperial Metals is related to or competes with Taseko Mines, IMetal Resources, Western Copper, and Trigon Metals. Imperial Metals Corporation, a mining company, engages in the acquisition, exploration, development, mining, and product... More
Imperial Metals 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 Imperial Metals' 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 Imperial Metals upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.92 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 10.99 | |||
| Value At Risk | (3.26) | |||
| Potential Upside | 4.17 |
Imperial Metals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Imperial Metals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Imperial Metals' standard deviation. In reality, there are many statistical measures that can use Imperial Metals historical prices to predict the future Imperial Metals' volatility.| Risk Adjusted Performance | 0.0125 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.33) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.017 |
Imperial Metals Backtested Returns
As of now, Imperial Stock is unstable. Imperial Metals holds Efficiency (Sharpe) Ratio of 0.0178, which attests that the entity had a 0.0178% return per unit of risk over the last 3 months. We have found thirty technical indicators for Imperial Metals, which you can use to evaluate the volatility of the firm. Please check out Imperial Metals' Market Risk Adjusted Performance of 0.027, downside deviation of 1.92, and Risk Adjusted Performance of 0.0125 to validate if the risk estimate we provide is consistent with the expected return of 0.0407%. Imperial Metals has a performance score of 1 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.44, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Imperial Metals' returns are expected to increase less than the market. However, during the bear market, the loss of holding Imperial Metals is expected to be smaller as well. Imperial Metals right now retains a risk of 2.28%. Please check out Imperial Metals sortino ratio, semi variance, rate of daily change, as well as the relationship between the value at risk and kurtosis , to decide if Imperial Metals will be following its current trending patterns.
Auto-correlation | -0.2 |
Insignificant reverse predictability
Imperial Metals has insignificant reverse predictability. Overlapping area represents the amount of predictability between Imperial Metals time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th 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 Imperial Metals price movement. The serial correlation of -0.2 indicates that over 20.0% of current Imperial Metals price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | -0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Imperial Metals lagged returns against current returns
Autocorrelation, which is Imperial Metals 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 Imperial Metals' stock expected returns. We can calculate the autocorrelation of Imperial Metals returns to help us make a trade decision. For example, suppose you find that Imperial Metals 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 |
Imperial Metals 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 Imperial Metals stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Imperial Metals stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Imperial Metals stock over time.
Current vs Lagged Prices |
| Timeline |
Imperial Metals Lagged Returns
When evaluating Imperial Metals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Imperial Metals stock have on its future price. Imperial Metals 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, Imperial Metals autocorrelation shows the relationship between Imperial Metals stock current value and its past values and can show if there is a momentum factor associated with investing in Imperial Metals.
Regressed Prices |
| Timeline |
Pair Trading with Imperial Metals
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 Imperial Metals 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 Imperial Metals will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Imperial Metals could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Imperial Metals 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 Imperial Metals - 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 Imperial Metals to buy it.
The correlation of Imperial Metals 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 Imperial Metals moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Imperial Metals 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 Imperial Metals 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 Imperial Stock
Imperial Metals financial ratios help investors to determine whether Imperial 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 Imperial with respect to the benefits of owning Imperial Metals security.