Return Stacked Global Etf Market Value

RSSB Etf   24.77  0.24  0.98%   
Return Stacked's market value is the price at which a share of Return Stacked trades on a public exchange. It measures the collective expectations of Return Stacked Global investors about its performance. Return Stacked is trading at 24.77 as of the 1st of December 2024, a 0.98 percent increase since the beginning of the trading day. The etf's open price was 24.53.
With this module, you can estimate the performance of a buy and hold strategy of Return Stacked Global and determine expected loss or profit from investing in Return Stacked over a given investment horizon. Check out Return Stacked Correlation, Return Stacked Volatility and Return Stacked Alpha and Beta module to complement your research on Return Stacked.
Symbol

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

Return Stacked '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 Return Stacked'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 Return Stacked.
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 Return Stacked on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Return Stacked Global or generate 0.0% return on investment in Return Stacked over 30 days. Return Stacked is related to or competes with SPDR SSgA, SPDR SSgA, VanEck Inflation, SPDR MSCI, and SPDR MSCI. Return Stacked is entity of United States More

Return Stacked 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 Return Stacked'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 Return Stacked Global upside and downside potential and time the market with a certain degree of confidence.

Return Stacked Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Return Stacked's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Return Stacked's standard deviation. In reality, there are many statistical measures that can use Return Stacked historical prices to predict the future Return Stacked's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Return Stacked'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
24.0224.7725.52
Details
Intrinsic
Valuation
LowRealHigh
23.8924.6425.39
Details
Naive
Forecast
LowNextHigh
24.1524.8925.64
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
23.7224.3224.92
Details

Return Stacked Global Backtested Returns

At this point, Return Stacked is very steady. Return Stacked Global maintains Sharpe Ratio (i.e., Efficiency) of 0.0845, which implies the entity had a 0.0845% return per unit of risk over the last 3 months. We have found thirty technical indicators for Return Stacked Global, which you can use to evaluate the volatility of the etf. Please check Return Stacked's Semi Deviation of 0.7798, risk adjusted performance of 0.0452, and Coefficient Of Variation of 1688.83 to confirm if the risk estimate we provide is consistent with the expected return of 0.0632%. The etf holds a Beta of 0.66, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Return Stacked's returns are expected to increase less than the market. However, during the bear market, the loss of holding Return Stacked is expected to be smaller as well.

Auto-correlation

    
  0.36  

Below average predictability

Return Stacked Global has below average predictability. Overlapping area represents the amount of predictability between Return Stacked 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 Return Stacked Global price movement. The serial correlation of 0.36 indicates that just about 36.0% of current Return Stacked price fluctuation can be explain by its past prices.
Correlation Coefficient0.36
Spearman Rank Test0.22
Residual Average0.0
Price Variance0.09

Return Stacked Global lagged returns against current returns

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

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

Return Stacked Lagged Returns

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Return Stacked Global offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Return Stacked's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Return Stacked Global Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Return Stacked Global Etf:
Check out Return Stacked Correlation, Return Stacked Volatility and Return Stacked Alpha and Beta module to complement your research on Return Stacked.
You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Return Stacked 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 Return Stacked technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Return Stacked 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...