First Trust's market value is the price at which a share of First Trust trades on a public exchange. It measures the collective expectations of First Trust Nasdaq investors about its performance. First Trust is trading at 40.44 as of the 14th of December 2024, a 1.25% increase since the beginning of the trading day. The etf's lowest day price was 40.31. With this module, you can estimate the performance of a buy and hold strategy of First Trust Nasdaq and determine expected loss or profit from investing in First Trust over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
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.
0.00
11/14/2024
No Change 0.00
0.0
In 31 days
12/14/2024
0.00
If you would invest 0.00 in First Trust on November 14, 2024 and sell it all today you would earn a total of 0.00 from holding First Trust Nasdaq or generate 0.0% return on investment in First Trust over 30 days.
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 Nasdaq upside and downside potential and time the market with a certain degree of confidence.
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.
First Trust appears to be very steady, given 3 months investment horizon. First Trust Nasdaq secures Sharpe Ratio (or Efficiency) of 0.22, which denotes the etf had a 0.22% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for First Trust Nasdaq, which you can use to evaluate the volatility of the entity. Please utilize First Trust's Downside Deviation of 1.2, coefficient of variation of 455.9, and Mean Deviation of 0.887 to check if our risk estimates are consistent with your expectations. The etf 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
0.24
Weak predictability
First Trust Nasdaq has weak predictability. Overlapping area represents the amount of predictability between First Trust time series from 14th of November 2024 to 29th of November 2024 and 29th of November 2024 to 14th of December 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 First Trust Nasdaq price movement. The serial correlation of 0.24 indicates that over 24.0% of current First Trust price fluctuation can be explain by its past prices.
Correlation Coefficient
0.24
Spearman Rank Test
0.16
Residual Average
0.0
Price Variance
0.24
First Trust Nasdaq 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 Nasdaq.
Regressed Prices
Timeline
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.