Ft Vest Equity Etf Market Value
| UXAP Etf | 35.21 0.63 1.76% |
| Symbol | UXAP |
FT Vest '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 FT Vest'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 FT Vest.
| 05/05/2025 |
| 08/03/2025 |
If you would invest 0.00 in FT Vest on May 5, 2025 and sell it all today you would earn a total of 0.00 from holding FT Vest Equity or generate 0.0% return on investment in FT Vest over 90 days.
FT Vest 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 FT Vest'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 FT Vest Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7216 | |||
| Information Ratio | 0.097 | |||
| Maximum Drawdown | 5.06 | |||
| Value At Risk | (1.20) | |||
| Potential Upside | 1.23 |
FT Vest Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FT Vest's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FT Vest's standard deviation. In reality, there are many statistical measures that can use FT Vest historical prices to predict the future FT Vest's volatility.| Risk Adjusted Performance | 0.1857 | |||
| Jensen Alpha | 0.0885 | |||
| Total Risk Alpha | 0.0753 | |||
| Sortino Ratio | 0.1103 | |||
| Treynor Ratio | 0.2002 |
FT Vest Equity Backtested Returns
Currently, FT Vest Equity is very steady. FT Vest Equity retains Efficiency (Sharpe Ratio) of 0.21, which denotes the etf had a 0.21 % return per unit of price deviation over the last 3 months. We have found thirty technical indicators for FT Vest, which you can use to evaluate the volatility of the entity. Please confirm FT Vest's Standard Deviation of 0.8201, downside deviation of 0.7216, and Market Risk Adjusted Performance of 0.2102 to check if the risk estimate we provide is consistent with the expected return of 0.18%. The etf owns a Beta (Systematic Risk) of 0.91, which means possible diversification benefits within a given portfolio. FT Vest returns are very sensitive to returns on the market. As the market goes up or down, FT Vest is expected to follow.
Auto-correlation | 0.87 |
Very good predictability
FT Vest Equity has very good predictability. Overlapping area represents the amount of predictability between FT Vest time series from 5th of May 2025 to 19th of June 2025 and 19th of June 2025 to 3rd of August 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 FT Vest Equity price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current FT Vest price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.87 | |
| Spearman Rank Test | 0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 0.41 |
FT Vest Equity lagged returns against current returns
Autocorrelation, which is FT Vest 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 FT Vest's etf expected returns. We can calculate the autocorrelation of FT Vest returns to help us make a trade decision. For example, suppose you find that FT Vest 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 |
FT Vest 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 FT Vest etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FT Vest etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FT Vest etf over time.
Current vs Lagged Prices |
| Timeline |
FT Vest Lagged Returns
When evaluating FT Vest's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FT Vest etf have on its future price. FT Vest 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, FT Vest autocorrelation shows the relationship between FT Vest etf current value and its past values and can show if there is a momentum factor associated with investing in FT Vest Equity.
Regressed Prices |
| Timeline |
Pair Trading with FT Vest
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 FT Vest 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 FT Vest will appreciate offsetting losses from the drop in the long position's value.Moving together with UXAP Etf
| 1.0 | VTI | Vanguard Total Stock | PairCorr |
| 1.0 | SPY | SPDR SP 500 | PairCorr |
| 1.0 | IVV | iShares Core SP | PairCorr |
| 0.66 | BND | Vanguard Total Bond | PairCorr |
| 0.98 | VTV | Vanguard Value Index | PairCorr |
The ability to find closely correlated positions to FT Vest could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace FT Vest 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 FT Vest - 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 FT Vest Equity to buy it.
The correlation of FT Vest 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 FT Vest moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FT Vest Equity 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 FT Vest 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.