ETF Series Etf Market Value

Etfs . USA . 
Etf . ETF Series Solutions
JUCY Etf  USD 25.19  0.06  0.24%   
ETF Series' market value is the price at which a share of ETF Series stock trades on a public exchange. It measures the collective expectations of ETF Series Solutions investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of ETF Series Solutions and determine expected loss or profit from investing in ETF Series over a given investment horizon. Check out ETF Series Correlation, ETF Series Volatility and ETF Series Alpha and Beta module to complement your research on ETF Series. For more information on how to buy ETF Series Etf please use our How to Invest in ETF Series guide.
Symbol

The market value of ETF Series Solutions is measured differently than its book value, which is the value of ETF Series that is recorded on the company's balance sheet. Investors also form their own opinion of ETF Series' value that differs from its market value or its book value, called intrinsic value, which is ETF Series' 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 ETF Series' market value can be influenced by many factors that don't directly affect ETF Series' 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 ETF Series' value and its price as these two are different measures arrived at by different means. Investors typically determine ETF Series value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ETF Series' 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.

ETF Series '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 ETF Series' 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 ETF Series.
0.00
04/03/2021
No Change 0.00  0.0 
In 1 year 11 months and 22 days
03/24/2023
0.00
If you would invest  0.00  in ETF Series on April 3, 2021 and sell it all today you would earn a total of 0.00 from holding ETF Series Solutions or generate 0.0% return on investment in ETF Series over 720 days. ETF Series is related to or competes with Vanguard Total, SPDR SP, IShares Core, Vanguard Total, Vanguard Value, Vanguard Growth, and Vanguard Mid-Cap. ETF Series Solutions - Aptus Enhanced Yield ETF is an exchange traded fund launched by ETF Series Solutions More

ETF Series 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 ETF Series' 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 ETF Series Solutions upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation0.2033
Information Ratio0.3303
Maximum Drawdown1.01
Value At Risk(0.24)
Potential Upside0.3645

ETF Series Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for ETF Series' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ETF Series' standard deviation. In reality, there are many statistical measures that can use ETF Series historical prices to predict the future ETF Series' volatility.
Risk Adjusted Performance0.1211
Jensen Alpha0.021
Total Risk Alpha0.0285
Sortino Ratio0.2944
Treynor Ratio(6.04)
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of ETF Series' 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. Please use the tools below to analyze the current value of ETF Series in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
25.0125.1925.37
Details
Intrinsic
Valuation
LowReal ValueHigh
22.9423.1227.71
Details
Naive
Forecast
LowNext ValueHigh
25.0425.2325.41
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
24.7124.9425.17
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as ETF Series. Your research has to be compared to or analyzed against ETF Series' peers to derive any actionable benefits. When done correctly, ETF Series' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in ETF Series Solutions.

ETF Series Solutions Backtested Returns

We consider ETF Series very steady. ETF Series Solutions secures Sharpe Ratio (or Efficiency) of 0.2, which denotes the etf had 0.2% of return per unit of return volatility over the last 3 months. Our approach to predicting the volatility of an etf is to use all available market data together with etf-specific technical indicators that cannot be diversified away. We have found twenty technical indicators for ETF Series Solutions, which you can use to evaluate the future volatility of the entity. Please confirm ETF Series Solutions coefficient of variation of 581.51, and Mean Deviation of 0.1313 to check if the risk estimate we provide is consistent with the expected return of 0.037%.
The etf shows a Beta (market volatility) of -0.0035, which means not very significant fluctuations relative to the market. Let's try to break down what ETF Series's beta means in this case. As returns on the market increase, returns on owning ETF Series are expected to decrease at a much lower rate. During the bear market, ETF Series is likely to outperform the market. Although it is important to respect ETF Series Solutions historical returns, it is better to be realistic regarding the information on the equity's current trending patterns. The approach to predicting future performance of any etf is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By examining ETF Series Solutions technical indicators, you can today evaluate if the expected return of 0.037% will be sustainable into the future.

Auto-correlation

    
  0.00  

No correlation between past and present

ETF Series Solutions has no correlation between past and present. Overlapping area represents the amount of predictability between ETF Series time series from 3rd of April 2021 to 29th of March 2022 and 29th of March 2022 to 24th of March 2023. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of ETF Series Solutions price movement. The serial correlation of 0.0 indicates that just 0.0% of current ETF Series price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test0.0
Residual Average0.0
Price Variance0.0

ETF Series Solutions lagged returns against current returns

Autocorrelation, which is ETF Series 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 ETF Series' etf expected returns. We can calculate the autocorrelation of ETF Series returns to help us make a trade decision. For example, suppose you find that ETF Series etf has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

ETF Series 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 ETF Series etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ETF Series etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ETF Series etf over time.
   Current vs Lagged Prices   
       Timeline  

ETF Series Lagged Returns

When evaluating ETF Series' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ETF Series etf have on its future price. ETF Series 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, ETF Series autocorrelation shows the relationship between ETF Series etf current value and its past values and can show if there is a momentum factor associated with investing in ETF Series Solutions.
   Regressed Prices   
       Timeline  

Be your own money manager

Our tools can tell you how much better you can do entering a position in ETF Series without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Check out ETF Series Correlation, ETF Series Volatility and ETF Series Alpha and Beta module to complement your research on ETF Series. For more information on how to buy ETF Series Etf please use our How to Invest in ETF Series guide. Note that the ETF Series Solutions information on this page should be used as a complementary analysis to other ETF Series' 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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..

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When running ETF Series Solutions price analysis, check to measure ETF Series' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy ETF Series is operating at the current time. Most of ETF Series' value examination focuses on studying past and present price action to predict the probability of ETF Series' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move ETF Series' price. Additionally, you may evaluate how the addition of ETF Series to your portfolios can decrease your overall portfolio volatility.
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ETF Series 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.
Overlap Analysis
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Forecast Models
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Price Shifting
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Volatility Indicators
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Value Movement
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A focus of ETF Series technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of ETF Series 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...
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