First Trust Intermediate Fund Market Value
FPF Fund | USD 18.26 0.07 0.38% |
Symbol | First |
First Trust '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 First Trust's 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 First Trust.
12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in First Trust on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding First Trust Intermediate or generate 0.0% return on investment in First Trust over 90 days. First Trust is related to or competes with RiverNorth Flexible, DWS Municipal, Blackrock Munivest, MFS Municipal, Franklin Templeton, First Trust, and Pgim High. First Trust Intermediate Duration Preferred Income Fund is a closed end fixed income mutual fund launched and managed by... More
First Trust 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 First Trust's 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 First Trust Intermediate upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.6386 | |||
Information Ratio | 0.1634 | |||
Maximum Drawdown | 2.71 | |||
Value At Risk | (1.02) | |||
Potential Upside | 0.8984 |
First Trust Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for First Trust's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as First Trust's standard deviation. In reality, there are many statistical measures that can use First Trust historical prices to predict the future First Trust's volatility.Risk Adjusted Performance | (0) | |||
Jensen Alpha | 0.0214 | |||
Total Risk Alpha | 0.0677 | |||
Sortino Ratio | 0.1567 | |||
Treynor Ratio | (0.03) |
First Trust Intermediate Backtested Returns
At this point, First Trust is very steady. First Trust Intermediate secures Sharpe Ratio (or Efficiency) of close to zero, which denotes the fund had a close to zero % return per unit of risk over the last 3 months. We have found thirty technical indicators for First Trust Intermediate, which you can use to evaluate the volatility of the entity. Please confirm First Trust's Coefficient Of Variation of 60217.77, downside deviation of 0.6386, and Mean Deviation of 0.4401 to check if the risk estimate we provide is consistent with the expected return of 0.0038%. The fund shows a Beta (market volatility) of 0.28, which means not very significant fluctuations relative to the market. As returns on the market increase, First Trust's returns are expected to increase less than the market. However, during the bear market, the loss of holding First Trust is expected to be smaller as well.
Auto-correlation | -0.48 |
Modest reverse predictability
First Trust Intermediate has modest reverse predictability. Overlapping area represents the amount of predictability between First Trust time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 First Trust Intermediate price movement. The serial correlation of -0.48 indicates that about 48.0% of current First Trust price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.48 | |
Spearman Rank Test | -0.3 | |
Residual Average | 0.0 | |
Price Variance | 0.02 |
First Trust Intermediate lagged returns against current returns
Autocorrelation, which is First Trust 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 First Trust's fund expected returns. We can calculate the autocorrelation of First Trust returns to help us make a trade decision. For example, suppose you find that First Trust has exhibited high autocorrelation historically, and you observe that the 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 |
First Trust 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 First Trust fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if First Trust fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in First Trust fund over time.
Current vs Lagged Prices |
Timeline |
First Trust Lagged Returns
When evaluating First Trust's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of First Trust fund have on its future price. First Trust 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, First Trust autocorrelation shows the relationship between First Trust fund current value and its past values and can show if there is a momentum factor associated with investing in First Trust Intermediate.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in First Fund
First Trust financial ratios help investors to determine whether First 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 First with respect to the benefits of owning First Trust security.
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