First Trust Alphadex Etf Market Value
| FHU Etf | CAD 31.34 0.14 0.44% |
| 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 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 First Trust.
| 12/13/2025 |
| 01/12/2026 |
If you would invest 0.00 in First Trust on December 13, 2025 and sell it all today you would earn a total of 0.00 from holding First Trust AlphaDEX or generate 0.0% return on investment in First Trust over 30 days. First Trust is related to or competes with First Trust. The First Trust ETF seeks to replicate, to the extent possible, the performance of the StrataQuant Utilities Index , net... 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 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 First Trust AlphaDEX upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 6.5 | |||
| Value At Risk | (2.46) | |||
| Potential Upside | 2.31 |
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 | (0.03) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | (0.16) |
First Trust AlphaDEX Backtested Returns
First Trust AlphaDEX secures Sharpe Ratio (or Efficiency) of -0.0542, which denotes the etf had a -0.0542 % return per unit of risk over the last 3 months. First Trust AlphaDEX exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm First Trust's Mean Deviation of 1.11, standard deviation of 1.42, and Variance of 2.01 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.52, which means possible diversification benefits within a given portfolio. 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 | 0.07 |
Virtually no predictability
First Trust AlphaDEX has virtually no predictability. Overlapping area represents the amount of predictability between First Trust time series from 13th of December 2025 to 28th of December 2025 and 28th of December 2025 to 12th of January 2026. 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 AlphaDEX price movement. The serial correlation of 0.07 indicates that barely 7.0% of current First Trust price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
First Trust AlphaDEX lagged returns against current returns
Autocorrelation, which is First Trust 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 First Trust's etf 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 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 |
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 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if First Trust etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in First Trust etf 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 etf 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 etf current value and its past values and can show if there is a momentum factor associated with investing in First Trust AlphaDEX.
Regressed Prices |
| Timeline |
Other Information on Investing in First Etf
First Trust financial ratios help investors to determine whether First 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 First with respect to the benefits of owning First Trust security.