East Africa Metals Stock Market Value
| EFRMF Stock | USD 0.06 0.00 0.00% |
| Symbol | East |
East Africa '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 East Africa's 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 East Africa.
| 05/04/2024 |
| 06/03/2024 |
If you would invest 0.00 in East Africa on May 4, 2024 and sell it all today you would earn a total of 0.00 from holding East Africa Metals or generate 0.0% return on investment in East Africa over 30 days. East Africa is related to or competes with Aurelia Metals, Adriatic Metals, American Helium, and Amarc Resources. East Africa Metals Inc., a mineral exploration company, focuses on the identification, acquisition, exploration, develop... More
East Africa 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 East Africa's 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 East Africa Metals upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0614 | |||
| Maximum Drawdown | 75.6 |
East Africa Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for East Africa's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as East Africa's standard deviation. In reality, there are many statistical measures that can use East Africa historical prices to predict the future East Africa's volatility.| Risk Adjusted Performance | 0.0514 | |||
| Jensen Alpha | 0.5742 | |||
| Total Risk Alpha | 0.0707 | |||
| Treynor Ratio | (0.17) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of East Africa's 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.
East Africa Metals Backtested Returns
East Africa appears to be out of control, given 3 months investment horizon. East Africa Metals secures Sharpe Ratio (or Efficiency) of 0.0692, which denotes the company had a 0.0692% return per unit of risk over the last 3 months. By reviewing East Africa's technical indicators, you can evaluate if the expected return of 0.51% is justified by implied risk. Please utilize East Africa's Variance of 51.64, mean deviation of 1.62, and Standard Deviation of 7.19 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, East Africa holds a performance score of 5. The firm shows a Beta (market volatility) of -2.77, which means a somewhat significant risk relative to the market. As returns on the market increase, returns on owning East Africa are expected to decrease by larger amounts. On the other hand, during market turmoil, East Africa is expected to outperform it. Please check East Africa's jensen alpha and rate of daily change , to make a quick decision on whether East Africa's price patterns will revert.
Auto-correlation | Huge |
Perfect predictability
East Africa Metals has perfect predictability. Overlapping area represents the amount of predictability between East Africa time series from 4th of May 2024 to 19th of May 2024 and 19th of May 2024 to 3rd of June 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 East Africa Metals price movement. The serial correlation of 9.223372036854776E16 indicates that 9.223372036854776E16% of current East Africa price fluctuation can be explain by its past prices.
| Correlation Coefficient | 92233.7 T | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
East Africa Metals lagged returns against current returns
Autocorrelation, which is East Africa 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 East Africa's pink sheet expected returns. We can calculate the autocorrelation of East Africa returns to help us make a trade decision. For example, suppose you find that East Africa 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 |
East Africa 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 East Africa pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if East Africa pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in East Africa pink sheet over time.
Current vs Lagged Prices |
| Timeline |
East Africa Lagged Returns
When evaluating East Africa's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of East Africa pink sheet have on its future price. East Africa 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, East Africa autocorrelation shows the relationship between East Africa pink sheet current value and its past values and can show if there is a momentum factor associated with investing in East Africa Metals.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out East Africa Correlation, East Africa Volatility and East Africa Alpha and Beta module to complement your research on East Africa. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Complementary Tools for East Pink Sheet analysis
When running East Africa's price analysis, check to measure East Africa'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 East Africa is operating at the current time. Most of East Africa's value examination focuses on studying past and present price action to predict the probability of East Africa's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move East Africa's price. Additionally, you may evaluate how the addition of East Africa to your portfolios can decrease your overall portfolio volatility.
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East Africa technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.