First Trust Multi Etf Market Value

FAB Etf  USD 82.62  0.68  0.83%   
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 Multi investors about its performance. First Trust is trading at 82.62 as of the 28th of March 2024, a 0.83% increase since the beginning of the trading day. The etf's open price was 81.94.
With this module, you can estimate the performance of a buy and hold strategy of First Trust Multi and determine expected loss or profit from investing in First Trust over a given investment horizon. Check out First Trust Correlation, First Trust Volatility and First Trust Alpha and Beta module to complement your research on First Trust.
Symbol

The market value of First Trust Multi is measured differently than its book value, which is the value of First that is recorded on the company's balance sheet. Investors also form their own opinion of First Trust's value that differs from its market value or its book value, called intrinsic value, which is First Trust's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because First Trust's market value can be influenced by many factors that don't directly affect First Trust's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between First Trust's value and its price as these two are different measures arrived at by different means. Investors typically determine if First Trust is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, First Trust's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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
02/27/2024
No Change 0.00  0.0 
In 31 days
03/28/2024
0.00
If you would invest  0.00  in First Trust on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding First Trust Multi or generate 0.0% return on investment in First Trust over 30 days. First Trust is related to or competes with Davis Select, Dimensional ETF, Principal Value, Vanguard Small, Vanguard Mid, SPDR SP, and SPDR SP. The fund will normally invest at least 90 percent of its net assets in the common stocks that comprise the index 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 Multi upside and downside potential and time the market with a certain degree of confidence.

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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of First Trust's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
81.0881.9382.78
Details
Intrinsic
Valuation
LowRealHigh
73.7874.6390.13
Details
Naive
Forecast
LowNextHigh
81.0881.9482.79
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
79.4480.9182.38
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as First Trust. Your research has to be compared to or analyzed against First Trust's peers to derive any actionable benefits. When done correctly, First Trust's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in First Trust Multi.

First Trust Multi Backtested Returns

We consider First Trust very steady. First Trust Multi secures Sharpe Ratio (or Efficiency) of 0.12, which denotes the etf had a 0.12% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for First Trust Multi, which you can use to evaluate the volatility of the entity. Please confirm First Trust's Coefficient Of Variation of 1052.2, mean deviation of 0.6115, and Downside Deviation of 0.9636 to check if the risk estimate we provide is consistent with the expected return of 0.1%. The etf shows a Beta (market volatility) of -0.23, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning First Trust are expected to decrease at a much lower rate. During the bear market, First Trust is likely to outperform the market.

Auto-correlation

    
  0.83  

Very good predictability

First Trust Multi has very good predictability. Overlapping area represents the amount of predictability between First Trust time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Multi price movement. The serial correlation of 0.83 indicates that around 83.0% of current First Trust price fluctuation can be explain by its past prices.
Correlation Coefficient0.83
Spearman Rank Test0.8
Residual Average0.0
Price Variance1.5

First Trust Multi 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 Multi.
   Regressed Prices   
       Timeline  

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When determining whether First Trust Multi is a strong investment it is important to analyze First Trust's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact First Trust's future performance. For an informed investment choice regarding First Etf, refer to the following important reports:
Check out First Trust Correlation, First Trust Volatility and First Trust Alpha and Beta module to complement your research on First Trust.
Note that the First Trust Multi information on this page should be used as a complementary analysis to other First Trust's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.

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First Trust technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.
A focus of First Trust technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of First Trust trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...