Power Floating Rate Fund Market Value
| FLOAX Fund | USD 9.89 0.01 0.10% |
| Symbol | Power |
Power Floating '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 Floating'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 Floating.
| 05/24/2023 |
| 04/18/2024 |
If you would invest 0.00 in Power Floating on May 24, 2023 and sell it all today you would earn a total of 0.00 from holding Power Floating Rate or generate 0.0% return on investment in Power Floating over 330 days. Power Floating is related to or competes with Jpmorgan Strategic. The fund adviser seeks to achieve its investment objectives by managing The fund invests in a manner that follows a rule... More
Power Floating 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 Floating'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 Floating Rate upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1301 | |||
| Information Ratio | (0.32) | |||
| Maximum Drawdown | 0.4105 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.103 |
Power Floating Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Power Floating's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Power Floating's standard deviation. In reality, there are many statistical measures that can use Power Floating historical prices to predict the future Power Floating's volatility.| Risk Adjusted Performance | 0.1245 | |||
| Jensen Alpha | 0.0167 | |||
| Total Risk Alpha | 0.0099 | |||
| Sortino Ratio | (0.22) | |||
| Treynor Ratio | (1.86) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Power Floating'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 Floating Rate Backtested Returns
We consider Power Floating very steady. Power Floating Rate maintains Sharpe Ratio (i.e., Efficiency) of 0.29, which implies the entity had a 0.29% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Power Floating Rate, which you can use to evaluate the volatility of the fund. Please check Power Floating's Risk Adjusted Performance of 0.1245, standard deviation of 0.09, and Downside Deviation of 0.1301 to confirm if the risk estimate we provide is consistent with the expected return of 0.0264%. The fund holds a Beta of -0.0088, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Power Floating are expected to decrease at a much lower rate. During the bear market, Power Floating is likely to outperform the market.
Auto-correlation | 0.97 |
Excellent predictability
Power Floating Rate has excellent predictability. Overlapping area represents the amount of predictability between Power Floating time series from 24th of May 2023 to 5th of November 2023 and 5th of November 2023 to 18th of April 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 Floating Rate price movement. The serial correlation of 0.97 indicates that 97.0% of current Power Floating price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.97 | |
| Spearman Rank Test | 0.95 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Power Floating Rate lagged returns against current returns
Autocorrelation, which is Power Floating 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 Floating's mutual fund expected returns. We can calculate the autocorrelation of Power Floating returns to help us make a trade decision. For example, suppose you find that Power Floating 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 Floating 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 Floating mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Power Floating 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 Floating mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Power Floating Lagged Returns
When evaluating Power Floating's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Power Floating mutual fund have on its future price. Power Floating 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 Floating autocorrelation shows the relationship between Power Floating mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Power Floating Rate.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Power Floating Correlation, Power Floating Volatility and Power Floating Alpha and Beta module to complement your research on Power Floating. Note that the Power Floating Rate information on this page should be used as a complementary analysis to other Power Floating's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Power Floating technical mutual fund 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, fund market cycles, or different charting patterns.