ETF Series Etf Market Value

Etfs . USA . 
Etf . ETF Series Solutions
JUCY Etf  USD 25.19  0.01  0.0397%   
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
12/25/2022
No Change 0.00  0.0 
In 3 months and 1 day
03/25/2023
0.00
If you would invest  0.00  in ETF Series on December 25, 2022 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 90 days. ETF Series is related to or competes with Walmart, SPDR SP, Vanguard Value, Vanguard Mid-Cap, IShares Core, Vanguard Small-Cap, and Vanguard FTSE. 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 Ratio0.2484
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 Alpha0.0219
Total Risk Alpha0.0257
Sortino Ratio0.2214
Treynor Ratio0.6632
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
25.0625.2425.42
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
25.0225.1325.24
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 mean deviation of 0.1313, and Coefficient Of Variation of 581.51 to check if the risk estimate we provide is consistent with the expected return of 0.0358%.
The etf shows a Beta (market volatility) of 0.0319, 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, ETF Series returns are expected to increase less than the market. However, during the bear market, the loss on holding ETF Series will be expected to be smaller as well. 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 0.0358% will be sustainable into the future.

Auto-correlation

    
  0.49  

Average predictability

ETF Series Solutions has average predictability. Overlapping area represents the amount of predictability between ETF Series time series from 25th of December 2022 to 8th of February 2023 and 8th of February 2023 to 25th 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 0.49 indicates that about 49.0% of current ETF Series price fluctuation can be explain by its past prices.
Correlation Coefficient0.49
Spearman Rank Test0.54
Residual Average0.0
Price Variance0.01

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.

Did you try this?

Run Risk-Return Analysis Now

   

Risk-Return Analysis

View associations between returns expected from investment and the risk you assume
All  Next Launch Module

Becoming a Better Investor with Macroaxis

Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as ETF Series Solutions using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.

Build Optimal Portfolios

Align your risk with return expectations

Fix your portfolio
By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations
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 Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.

Complementary Tools for ETF Series Etf analysis

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.
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Share Portfolio
Track or share privately all of your investments from the convenience of any device
Probability Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Bond Directory
Find actively traded corporate debentures issued by US companies
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Global Correlations
Find global opportunities by holding instruments from different markets
Fundamental Analysis
View fundamental data based on most recent published financial statements
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Manager
State of the art Portfolio Manager to monitor and improve performance of your invested capital
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
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
View
Forecast Models
View
Price Shifting
View
Volatility Indicators
View
Value Movement
View
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...
Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions
 
Feedback Blog
Made with optimal in San Francisco
2023 Macroaxis LLC
COMMON DESTINATIONS
MAIN CATEGORIES
COMPANY