Power Income Fund Market Value
| PWRAX Fund | USD 9.09 0.01 0.11% |
| Symbol | Power |
Power Income '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 Income's mutual fund 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 Income.
| 12/26/2024 |
| 03/26/2025 |
If you would invest 0.00 in Power Income on December 26, 2024 and sell it all today you would earn a total of 0.00 from holding Power Income Fund or generate 0.0% return on investment in Power Income over 90 days. Power Income is related to or competes with Growth Allocation, Qs Defensive, Artisan Small, Vanguard Dividend, Pnc International, and Morningstar Growth. The fund invests in income-producing fixed income and alternative strategy exchange-traded funds More
Power Income 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 Income's mutual fund 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 Income Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2781 | |||
| Information Ratio | 0.0035 | |||
| Maximum Drawdown | 1.35 | |||
| Value At Risk | (0.44) | |||
| Potential Upside | 0.5519 |
Power Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Power Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Power Income's standard deviation. In reality, there are many statistical measures that can use Power Income historical prices to predict the future Power Income's volatility.| Risk Adjusted Performance | 0.0218 | |||
| Jensen Alpha | 0.0035 | |||
| Total Risk Alpha | 0.0029 | |||
| Sortino Ratio | 0.0034 | |||
| Treynor Ratio | 0.0463 |
Power Income Backtested Returns
At this stage we consider Power Mutual Fund to be very steady. Power Income maintains Sharpe Ratio (i.e., Efficiency) of 0.11, which implies the entity had a 0.11 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Power Income, which you can use to evaluate the volatility of the fund. Please check Power Income's Risk Adjusted Performance of 0.0218, coefficient of variation of 1948.84, and Semi Deviation of 0.1918 to confirm if the risk estimate we provide is consistent with the expected return of 0.0281%. The fund holds a Beta of 0.081, which implies not very significant fluctuations relative to the market. As returns on the market increase, Power Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Power Income is expected to be smaller as well.
Auto-correlation | 0.16 |
Very weak predictability
Power Income Fund has very weak predictability. Overlapping area represents the amount of predictability between Power Income time series from 26th of December 2024 to 9th of February 2025 and 9th of February 2025 to 26th of March 2025. 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 Income price movement. The serial correlation of 0.16 indicates that over 16.0% of current Power Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Power Income lagged returns against current returns
Autocorrelation, which is Power Income mutual fund'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 Income's mutual fund expected returns. We can calculate the autocorrelation of Power Income returns to help us make a trade decision. For example, suppose you find that Power Income has exhibited high autocorrelation historically, and you observe that the mutual fund 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 Income 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 Income mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Power Income mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Power Income mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Power Income Lagged Returns
When evaluating Power Income's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Power Income mutual fund have on its future price. Power Income 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 Income autocorrelation shows the relationship between Power Income mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Power Income Fund.
Regressed Prices |
| Timeline |
Also Currently Popular
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Other Information on Investing in Power Mutual Fund
Power Income financial ratios help investors to determine whether Power Mutual Fund 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 Power with respect to the benefits of owning Power Income security.
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