First Trust Low Etf Market Value

LMBS Etf  USD 48.97  0.13  0.27%   
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 Low investors about its performance. First Trust is selling for under 48.97 as of the 30th of November 2024; that is 0.27 percent increase since the beginning of the trading day. The etf's lowest day price was 48.9.
With this module, you can estimate the performance of a buy and hold strategy of First Trust Low 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 Low 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
09/01/2024
No Change 0.00  0.0 
In 3 months and 1 day
11/30/2024
0.00
If you would invest  0.00  in First Trust on September 1, 2024 and sell it all today you would earn a total of 0.00 from holding First Trust Low or generate 0.0% return on investment in First Trust over 90 days. First Trust is related to or competes with FlexShares Disciplined, Vanguard Mortgage, Simplify Exchange, WisdomTree Mortgage, IShares MBS, Quaker Investment, and IShares GNMA. Under normal market conditions, the fund will seek to achieve its investment objectives by investing at least 60 percent... 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 Low 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.
Hype
Prediction
LowEstimatedHigh
48.7948.9749.15
Details
Intrinsic
Valuation
LowRealHigh
47.5647.7453.87
Details
Naive
Forecast
LowNextHigh
48.7948.9649.14
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
48.5548.7548.95
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 Low.

First Trust Low Backtested Returns

Currently, First Trust Low is very steady. First Trust Low secures Sharpe Ratio (or Efficiency) of 0.0361, which denotes the etf had a 0.0361% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for First Trust Low, which you can use to evaluate the volatility of the entity. Please confirm First Trust's Coefficient Of Variation of 2022.54, downside deviation of 0.1929, and Mean Deviation of 0.1263 to check if the risk estimate we provide is consistent with the expected return of 0.0063%. The etf shows a Beta (market volatility) of -0.0118, 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

    
  -0.48  

Modest reverse predictability

First Trust Low has modest reverse predictability. Overlapping area represents the amount of predictability between First Trust time series from 1st of September 2024 to 16th of October 2024 and 16th of October 2024 to 30th 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 Low 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 Test0.05
Residual Average0.0
Price Variance0.01

First Trust Low 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 Low.
   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.
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When determining whether First Trust Low 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.
You can also try the Stocks Directory module to find actively traded stocks across global markets.
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...