First Trust Dorsey Etf Market Value

FV Etf  USD 60.59  1.04  1.75%   
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 Dorsey investors about its performance. First Trust is selling for under 60.59 as of the 22nd of November 2024; that is 1.75 percent increase since the beginning of the trading day. The etf's lowest day price was 59.59.
With this module, you can estimate the performance of a buy and hold strategy of First Trust Dorsey 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 Dorsey 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
10/23/2024
No Change 0.00  0.0 
In 30 days
11/22/2024
0.00
If you would invest  0.00  in First Trust on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding First Trust Dorsey or generate 0.0% return on investment in First Trust over 30 days. First Trust is related to or competes with First Trust, Invesco DWA, First Trust, First Trust, and First Trust. The fund will normally invest at least 90 percent of its net assets in the exchange-traded funds 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 Dorsey 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
59.3960.6061.81
Details
Intrinsic
Valuation
LowRealHigh
58.5659.7760.98
Details
Naive
Forecast
LowNextHigh
57.6258.8360.04
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
57.9160.0362.15
Details

First Trust Dorsey Backtested Returns

At this stage we consider First Etf to be very steady. First Trust Dorsey secures Sharpe Ratio (or Efficiency) of 0.0931, which denotes the etf had a 0.0931% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for First Trust Dorsey, which you can use to evaluate the volatility of the entity. Please confirm First Trust's Mean Deviation of 0.8969, downside deviation of 1.31, and Coefficient Of Variation of 1349.91 to check if the risk estimate we provide is consistent with the expected return of 0.11%. The etf shows a Beta (market volatility) of 1.24, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, First Trust will likely underperform.

Auto-correlation

    
  0.38  

Below average predictability

First Trust Dorsey has below average predictability. Overlapping area represents the amount of predictability between First Trust time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd of November 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 Dorsey price movement. The serial correlation of 0.38 indicates that just about 38.0% of current First Trust price fluctuation can be explain by its past prices.
Correlation Coefficient0.38
Spearman Rank Test-0.4
Residual Average0.0
Price Variance0.68

First Trust Dorsey 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 Dorsey.
   Regressed Prices   
       Timeline  

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  
Check out First Trust Correlation, First Trust Volatility and First Trust Alpha and Beta module to complement your research on First Trust.
You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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...