Etf Managers Group Etf Market Value

BWET Etf   11.27  0.23  2.00%   
ETF Managers' market value is the price at which a share of ETF Managers trades on a public exchange. It measures the collective expectations of ETF Managers Group investors about its performance. ETF Managers is selling for under 11.27 as of the 1st of December 2024; that is 2 percent decrease since the beginning of the trading day. The etf's last reported lowest price was 11.27.
With this module, you can estimate the performance of a buy and hold strategy of ETF Managers Group and determine expected loss or profit from investing in ETF Managers over a given investment horizon. Check out ETF Managers Correlation, ETF Managers Volatility and ETF Managers Alpha and Beta module to complement your research on ETF Managers.
Symbol

The market value of ETF Managers Group is measured differently than its book value, which is the value of ETF that is recorded on the company's balance sheet. Investors also form their own opinion of ETF Managers' value that differs from its market value or its book value, called intrinsic value, which is ETF Managers' 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 Managers' market value can be influenced by many factors that don't directly affect ETF Managers' 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 Managers' value and its price as these two are different measures arrived at by different means. Investors typically determine if ETF Managers is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ETF Managers' 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 Managers '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 Managers' 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 Managers.
0.00
11/01/2024
No Change 0.00  0.0 
In 30 days
12/01/2024
0.00
If you would invest  0.00  in ETF Managers on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding ETF Managers Group or generate 0.0% return on investment in ETF Managers over 30 days. ETF Managers is related to or competes with Okeanis Eco, Breakwave Dry, and Hafnia. ETF Managers is entity of United States. It is traded as Etf on NYSE ARCA exchange. More

ETF Managers 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 Managers' 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 Managers Group upside and downside potential and time the market with a certain degree of confidence.

ETF Managers Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for ETF Managers' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ETF Managers' standard deviation. In reality, there are many statistical measures that can use ETF Managers historical prices to predict the future ETF Managers' volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ETF Managers' 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
8.5211.2714.02
Details
Intrinsic
Valuation
LowRealHigh
9.1311.8814.63
Details
Naive
Forecast
LowNextHigh
8.1810.9313.68
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
10.6411.8513.05
Details

ETF Managers Group Backtested Returns

ETF Managers Group secures Sharpe Ratio (or Efficiency) of -0.13, which denotes the etf had a -0.13% return per unit of return volatility over the last 3 months. ETF Managers Group exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm ETF Managers' mean deviation of 2.18, and Standard Deviation of 2.77 to check the risk estimate we provide. The etf shows a Beta (market volatility) of -0.0158, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning ETF Managers are expected to decrease at a much lower rate. During the bear market, ETF Managers is likely to outperform the market.

Auto-correlation

    
  0.15  

Insignificant predictability

ETF Managers Group has insignificant predictability. Overlapping area represents the amount of predictability between ETF Managers time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st 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 ETF Managers Group price movement. The serial correlation of 0.15 indicates that less than 15.0% of current ETF Managers price fluctuation can be explain by its past prices.
Correlation Coefficient0.15
Spearman Rank Test0.07
Residual Average0.0
Price Variance0.36

ETF Managers Group lagged returns against current returns

Autocorrelation, which is ETF Managers 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 Managers' etf expected returns. We can calculate the autocorrelation of ETF Managers returns to help us make a trade decision. For example, suppose you find that ETF Managers 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  

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

ETF Managers Lagged Returns

When evaluating ETF Managers' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ETF Managers etf have on its future price. ETF Managers 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 Managers autocorrelation shows the relationship between ETF Managers etf current value and its past values and can show if there is a momentum factor associated with investing in ETF Managers Group.
   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 ETF Managers Group 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 ETF 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 Etf Managers Group Etf. Highlighted below are key reports to facilitate an investment decision about Etf Managers Group Etf:
Check out ETF Managers Correlation, ETF Managers Volatility and ETF Managers Alpha and Beta module to complement your research on ETF Managers.
You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
ETF Managers 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 ETF Managers technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of ETF Managers 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...