First Trust Ssi Etf Market Value

FCVT Etf  USD 38.26  0.25  0.66%   
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 SSI investors about its performance. First Trust is selling for under 38.26 as of the 11th of December 2024; that is 0.66 percent increase since the beginning of the trading day. The etf's last reported lowest price was 38.01.
With this module, you can estimate the performance of a buy and hold strategy of First Trust SSI 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 SSI 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
11/11/2024
No Change 0.00  0.0 
In 30 days
12/11/2024
0.00
If you would invest  0.00  in First Trust on November 11, 2024 and sell it all today you would earn a total of 0.00 from holding First Trust SSI or generate 0.0% return on investment in First Trust over 30 days. First Trust is related to or competes with First Trust, First Trust, First Trust, First Trust, and First Trust. Under normal market conditions, the fund seeks to achieve its investment objective by investing at least 80 percent of i... 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 SSI 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
37.4338.0138.59
Details
Intrinsic
Valuation
LowRealHigh
34.2141.0441.62
Details
Naive
Forecast
LowNextHigh
37.3137.8938.47
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
36.4537.8039.14
Details

First Trust SSI Backtested Returns

Currently, First Trust SSI is very steady. First Trust SSI secures Sharpe Ratio (or Efficiency) of 0.26, which denotes the etf had a 0.26% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for First Trust SSI, which you can use to evaluate the volatility of the entity. Please confirm First Trust's Downside Deviation of 0.5995, mean deviation of 0.4448, and Coefficient Of Variation of 337.57 to check if the risk estimate we provide is consistent with the expected return of 0.15%. The etf shows a Beta (market volatility) of 0.49, 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

    
  -0.59  

Good reverse predictability

First Trust SSI has good reverse predictability. Overlapping area represents the amount of predictability between First Trust time series from 11th of November 2024 to 26th of November 2024 and 26th of November 2024 to 11th 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 SSI price movement. The serial correlation of -0.59 indicates that roughly 59.0% of current First Trust price fluctuation can be explain by its past prices.
Correlation Coefficient-0.59
Spearman Rank Test-0.13
Residual Average0.0
Price Variance0.03

First Trust SSI 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 SSI.
   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  
When determining whether First Trust SSI is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if First Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about First Trust Ssi Etf. Highlighted below are key reports to facilitate an investment decision about First Trust Ssi Etf:
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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
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...