Power Dividend Index Fund Market Value
| PWDCX Fund | USD 9.84 0.04 0.41% |
| Symbol | Power |
Power Dividend '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 Dividend'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 Dividend.
| 12/07/2023 |
| 12/01/2024 |
If you would invest 0.00 in Power Dividend on December 7, 2023 and sell it all today you would earn a total of 0.00 from holding Power Dividend Index or generate 0.0% return on investment in Power Dividend over 360 days. Power Dividend is related to or competes with California High-yield, Needham Aggressive, Metropolitan West, Morningstar Aggressive, Artisan High, and Federated Institutional. The funds investment adviser seeks to achieve its investment objectives by seeking to track the FCF Risk Managed Sector ... More
Power Dividend 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 Dividend'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 Dividend Index upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5948 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 3.77 | |||
| Value At Risk | (1.02) | |||
| Potential Upside | 1.26 |
Power Dividend Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Power Dividend's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Power Dividend's standard deviation. In reality, there are many statistical measures that can use Power Dividend historical prices to predict the future Power Dividend's volatility.| Risk Adjusted Performance | 0.0892 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.0898 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Power Dividend'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.
Power Dividend Index Backtested Returns
At this stage we consider Power Mutual Fund to be very steady. Power Dividend Index maintains Sharpe Ratio (i.e., Efficiency) of 0.12, which implies the entity had a 0.12% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Power Dividend Index, which you can use to evaluate the volatility of the fund. Please check Power Dividend's Risk Adjusted Performance of 0.0892, semi deviation of 0.4659, and Coefficient Of Variation of 853.43 to confirm if the risk estimate we provide is consistent with the expected return of 0.0892%. The fund holds a Beta of 0.85, which implies possible diversification benefits within a given portfolio. Power Dividend returns are very sensitive to returns on the market. As the market goes up or down, Power Dividend is expected to follow.
Auto-correlation | 0.85 |
Very good predictability
Power Dividend Index has very good predictability. Overlapping area represents the amount of predictability between Power Dividend time series from 7th of December 2023 to 4th of June 2024 and 4th of June 2024 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 Dividend Index price movement. The serial correlation of 0.85 indicates that around 85.0% of current Power Dividend price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.85 | |
| Spearman Rank Test | 0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 0.12 |
Power Dividend Index lagged returns against current returns
Autocorrelation, which is Power Dividend 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 Dividend's mutual fund expected returns. We can calculate the autocorrelation of Power Dividend returns to help us make a trade decision. For example, suppose you find that Power Dividend 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 Dividend 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 Dividend mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Power Dividend 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 Dividend mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Power Dividend Lagged Returns
When evaluating Power Dividend's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Power Dividend mutual fund have on its future price. Power Dividend 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 Dividend autocorrelation shows the relationship between Power Dividend mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Power Dividend Index.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Power Mutual Fund
Power Dividend 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 Dividend security.
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