Purpose Floating Rate Etf Market Value
| FLOT-U Etf | USD 6.03 0.04 0.67% |
| Symbol | Purpose |
Purpose 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 Purpose Floating's etf 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 Purpose Floating.
| 01/28/2025 |
| 02/27/2025 |
If you would invest 0.00 in Purpose Floating on January 28, 2025 and sell it all today you would earn a total of 0.00 from holding Purpose Floating Rate or generate 0.0% return on investment in Purpose Floating over 30 days. Purpose Floating is related to or competes with Purpose Ether, Purpose Conservative, Purpose Global, Purpose Enhanced, and Purpose Strategic. The funds investment objectives are to generate current income and preserve capital by investing primarily in floating r... More
Purpose 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 Purpose Floating's etf 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 Purpose Floating Rate upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 8.7 | |||
| Value At Risk | (2.67) | |||
| Potential Upside | 2.78 |
Purpose Floating Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Purpose Floating's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Purpose Floating's standard deviation. In reality, there are many statistical measures that can use Purpose Floating historical prices to predict the future Purpose Floating's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | 0.1259 |
Purpose Floating Rate Backtested Returns
Purpose Floating Rate maintains Sharpe Ratio (i.e., Efficiency) of -0.0623, which implies the entity had a -0.0623 % return per unit of risk over the last 3 months. Purpose Floating Rate exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Purpose Floating's Coefficient Of Variation of (5,539), risk adjusted performance of (0.01), and Variance of 1.75 to confirm the risk estimate we provide. The etf holds a Beta of -0.27, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Purpose Floating are expected to decrease at a much lower rate. During the bear market, Purpose Floating is likely to outperform the market.
Auto-correlation | 0.50 |
Modest predictability
Purpose Floating Rate has modest predictability. Overlapping area represents the amount of predictability between Purpose Floating time series from 28th of January 2025 to 12th of February 2025 and 12th of February 2025 to 27th of February 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 Purpose Floating Rate price movement. The serial correlation of 0.5 indicates that about 50.0% of current Purpose Floating price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.5 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Purpose Floating Rate lagged returns against current returns
Autocorrelation, which is Purpose Floating etf'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 Purpose Floating's etf expected returns. We can calculate the autocorrelation of Purpose Floating returns to help us make a trade decision. For example, suppose you find that Purpose Floating has exhibited high autocorrelation historically, and you observe that the etf 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 |
Purpose 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 Purpose Floating etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Purpose Floating etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Purpose Floating etf over time.
Current vs Lagged Prices |
| Timeline |
Purpose Floating Lagged Returns
When evaluating Purpose Floating's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Purpose Floating etf have on its future price. Purpose 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, Purpose Floating autocorrelation shows the relationship between Purpose Floating etf current value and its past values and can show if there is a momentum factor associated with investing in Purpose Floating Rate.
Regressed Prices |
| Timeline |
Pair Trading with Purpose Floating
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Purpose Floating position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Purpose Floating will appreciate offsetting losses from the drop in the long position's value.Moving against Purpose Etf
| 0.57 | HOU | BetaPro Crude Oil | PairCorr |
| 0.51 | VFV | Vanguard SP 500 | PairCorr |
| 0.5 | ZSP | BMO SP 500 | PairCorr |
| 0.45 | FHE | First Trust Indxx | PairCorr |
The ability to find closely correlated positions to Purpose Floating could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Purpose Floating when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Purpose Floating - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Purpose Floating Rate to buy it.
The correlation of Purpose Floating is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Purpose Floating moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Purpose Floating Rate moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Purpose Floating can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Purpose Etf
Purpose Floating financial ratios help investors to determine whether Purpose Etf 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 Purpose with respect to the benefits of owning Purpose Floating security.