Emperor Metals Stock Market Value
| EMAUF Stock | 0.05 0.0002 0.37% |
| Symbol | Emperor |
Emperor 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 Emperor Metals' otc 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 Emperor Metals.
| 12/08/2022 |
| 11/27/2024 |
If you would invest 0.00 in Emperor Metals on December 8, 2022 and sell it all today you would earn a total of 0.00 from holding Emperor Metals or generate 0.0% return on investment in Emperor Metals over 720 days.
Emperor 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 Emperor Metals' otc 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 Emperor Metals upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 25.06 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 9.61 |
Emperor Metals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Emperor Metals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Emperor Metals' standard deviation. In reality, there are many statistical measures that can use Emperor Metals historical prices to predict the future Emperor Metals' volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.26) | |||
| Total Risk Alpha | (1.14) | |||
| Treynor Ratio | 1.7 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Emperor Metals' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Emperor Metals Backtested Returns
Emperor Metals secures Sharpe Ratio (or Efficiency) of -0.0522, which denotes the company had a -0.0522% return per unit of risk over the last 3 months. Emperor Metals exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Emperor Metals' Variance of 30.87, standard deviation of 5.56, and Mean Deviation of 4.15 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.17, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Emperor Metals are expected to decrease at a much lower rate. During the bear market, Emperor Metals is likely to outperform the market. At this point, Emperor Metals has a negative expected return of -0.28%. Please make sure to confirm Emperor Metals' potential upside, as well as the relationship between the daily balance of power and price action indicator , to decide if Emperor Metals performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.43 |
Average predictability
Emperor Metals has average predictability. Overlapping area represents the amount of predictability between Emperor Metals time series from 8th of December 2022 to 3rd of December 2023 and 3rd of December 2023 to 27th 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 Emperor Metals price movement. The serial correlation of 0.43 indicates that just about 43.0% of current Emperor Metals price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.43 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Emperor Metals lagged returns against current returns
Autocorrelation, which is Emperor Metals otc 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 Emperor Metals' otc stock expected returns. We can calculate the autocorrelation of Emperor Metals returns to help us make a trade decision. For example, suppose you find that Emperor Metals has exhibited high autocorrelation historically, and you observe that the otc 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 |
Emperor 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 Emperor Metals otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Emperor Metals otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Emperor Metals otc stock over time.
Current vs Lagged Prices |
| Timeline |
Emperor Metals Lagged Returns
When evaluating Emperor Metals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Emperor Metals otc stock have on its future price. Emperor 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, Emperor Metals autocorrelation shows the relationship between Emperor Metals otc stock current value and its past values and can show if there is a momentum factor associated with investing in Emperor Metals.
Regressed Prices |
| Timeline |