Power Floating Rate Fund Market Value
| FLOTX Fund | USD 9.67 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.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Power Floating on March 25, 2024 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 30 days. Power Floating is related to or competes with Power Momentum, Power Momentum, Power Momentum, Power Global, Power Global, and Power Dividend. 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 | 0.1513 | |||
| Information Ratio | (0.74) | |||
| Maximum Drawdown | 0.4195 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.1052 |
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 | 0.0928 | |||
| Jensen Alpha | 0.0044 | |||
| Total Risk Alpha | 5.0E-4 | |||
| Sortino Ratio | (0.44) | |||
| Treynor Ratio | 0.1247 |
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 0.24, which implies the entity had a 0.24% return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Power Floating Rate, which you can use to evaluate the volatility of the fund. Please check Power Floating's Downside Deviation of 0.1513, standard deviation of 0.0906, and Risk Adjusted Performance of 0.0928 to confirm if the risk estimate we provide is consistent with the expected return of 0.0219%. The fund holds a Beta of 0.0977, which implies not very significant fluctuations relative to the market. As returns on the market increase, Power Floating's returns are expected to increase less than the market. However, during the bear market, the loss of holding Power Floating is expected to be smaller as well.
Auto-correlation | 0.24 |
Weak predictability
Power Floating Rate has weak predictability. Overlapping area represents the amount of predictability between Power Floating time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 0.24 indicates that over 24.0% of current Power Floating price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Power Floating in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Power Floating's short interest history, or implied volatility extrapolated from Power Floating options trading.
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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.