POWER METALS (Germany) Market Value
| OAA1 Stock | 0.23 0.01 4.17% |
| Symbol | POWER |
POWER 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 POWER METALS'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 POWER METALS.
| 12/12/2022 |
| 12/01/2024 |
If you would invest 0.00 in POWER METALS on December 12, 2022 and sell it all today you would earn a total of 0.00 from holding POWER METALS or generate 0.0% return on investment in POWER METALS over 720 days. POWER METALS is related to or competes with SIVERS SEMICONDUCTORS, Darden Restaurants, Reliance Steel, Q2M Managementberatu, Hyster-Yale Materials, Hastings Technology, and Meli Hotels. More
POWER 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 POWER METALS'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 POWER METALS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.83 | |||
| Information Ratio | 0.1157 | |||
| Maximum Drawdown | 21.33 | |||
| Value At Risk | (5.56) | |||
| Potential Upside | 10.53 |
POWER METALS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for POWER METALS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as POWER METALS's standard deviation. In reality, there are many statistical measures that can use POWER METALS historical prices to predict the future POWER METALS's volatility.| Risk Adjusted Performance | 0.1207 | |||
| Jensen Alpha | 0.4912 | |||
| Total Risk Alpha | (0.1) | |||
| Sortino Ratio | 0.1045 | |||
| Treynor Ratio | 0.5696 |
POWER METALS Backtested Returns
POWER METALS appears to be out of control, given 3 months investment horizon. POWER METALS maintains Sharpe Ratio (i.e., Efficiency) of 0.15, which implies the firm had a 0.15% return per unit of standard deviation over the last 3 months. By reviewing POWER METALS's technical indicators, you can evaluate if the expected return of 0.64% is justified by implied risk. Please evaluate POWER METALS's Risk Adjusted Performance of 0.1207, semi deviation of 2.8, and Market Risk Adjusted Performance of 0.5796 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, POWER METALS holds a performance score of 11. The company holds a Beta of 1.11, which implies a somewhat significant risk relative to the market. POWER METALS returns are very sensitive to returns on the market. As the market goes up or down, POWER METALS is expected to follow. Please check POWER METALS's potential upside, semi variance, and the relationship between the value at risk and downside variance , to make a quick decision on whether POWER METALS's historical price patterns will revert.
Auto-correlation | -0.48 |
Modest reverse predictability
POWER METALS has modest reverse predictability. Overlapping area represents the amount of predictability between POWER METALS time series from 12th of December 2022 to 7th of December 2023 and 7th of December 2023 to 1st of December 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 POWER METALS price movement. The serial correlation of -0.48 indicates that about 48.0% of current POWER METALS price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.48 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
POWER METALS lagged returns against current returns
Autocorrelation, which is POWER 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 POWER METALS's stock expected returns. We can calculate the autocorrelation of POWER METALS returns to help us make a trade decision. For example, suppose you find that POWER 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 |
POWER 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 POWER METALS stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if POWER METALS stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in POWER METALS stock over time.
Current vs Lagged Prices |
| Timeline |
POWER METALS Lagged Returns
When evaluating POWER METALS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of POWER METALS stock have on its future price. POWER 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, POWER METALS autocorrelation shows the relationship between POWER METALS stock current value and its past values and can show if there is a momentum factor associated with investing in POWER METALS.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for POWER Stock Analysis
When running POWER METALS's price analysis, check to measure POWER METALS'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 POWER METALS is operating at the current time. Most of POWER METALS's value examination focuses on studying past and present price action to predict the probability of POWER METALS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move POWER METALS's price. Additionally, you may evaluate how the addition of POWER METALS to your portfolios can decrease your overall portfolio volatility.