Spdr Ssga Multi Asset Etf Market Value

RLY Etf  USD 27.77  0.23  0.84%   
SPDR SSgA's market value is the price at which a share of SPDR SSgA trades on a public exchange. It measures the collective expectations of SPDR SSgA Multi Asset investors about its performance. SPDR SSgA is trading at 27.77 as of the 28th of March 2024; that is 0.84 percent up since the beginning of the trading day. The etf's open price was 27.54.
With this module, you can estimate the performance of a buy and hold strategy of SPDR SSgA Multi Asset and determine expected loss or profit from investing in SPDR SSgA over a given investment horizon. Check out SPDR SSgA Correlation, SPDR SSgA Volatility and SPDR SSgA Alpha and Beta module to complement your research on SPDR SSgA.
Symbol

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

SPDR SSgA '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 SPDR SSgA'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 SPDR SSgA.
0.00
02/27/2024
No Change 0.00  0.0 
In 30 days
03/28/2024
0.00
If you would invest  0.00  in SPDR SSgA on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR SSgA Multi Asset or generate 0.0% return on investment in SPDR SSgA over 30 days. SPDR SSgA is related to or competes with WisdomTree International, and Procter Gamble. Under normal circumstances, the Adviser invests at least 80 percent of the net assets of the fund among ETPs that provid... More

SPDR SSgA 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 SPDR SSgA'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 SPDR SSgA Multi Asset upside and downside potential and time the market with a certain degree of confidence.

SPDR SSgA Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR SSgA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR SSgA's standard deviation. In reality, there are many statistical measures that can use SPDR SSgA historical prices to predict the future SPDR SSgA's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SPDR SSgA'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
27.2027.7728.34
Details
Intrinsic
Valuation
LowRealHigh
26.8427.4127.98
Details
Naive
Forecast
LowNextHigh
27.1127.6728.24
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
27.4427.6427.83
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SPDR SSgA. Your research has to be compared to or analyzed against SPDR SSgA's peers to derive any actionable benefits. When done correctly, SPDR SSgA's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in SPDR SSgA Multi-Asset.

SPDR SSgA Multi-Asset Backtested Returns

We consider SPDR SSgA very steady. SPDR SSgA Multi-Asset owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.064, which indicates the etf had a 0.064% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SPDR SSgA Multi Asset, which you can use to evaluate the volatility of the etf. Please validate SPDR SSgA's risk adjusted performance of 0.0326, and Coefficient Of Variation of 1705.49 to confirm if the risk estimate we provide is consistent with the expected return of 0.0362%. The entity has a beta of -0.0378, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SPDR SSgA are expected to decrease at a much lower rate. During the bear market, SPDR SSgA is likely to outperform the market.

Auto-correlation

    
  0.77  

Good predictability

SPDR SSgA Multi Asset has good predictability. Overlapping area represents the amount of predictability between SPDR SSgA time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 SPDR SSgA Multi-Asset price movement. The serial correlation of 0.77 indicates that around 77.0% of current SPDR SSgA price fluctuation can be explain by its past prices.
Correlation Coefficient0.77
Spearman Rank Test0.8
Residual Average0.0
Price Variance0.03

SPDR SSgA Multi-Asset lagged returns against current returns

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

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

SPDR SSgA Lagged Returns

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

Currently Active Assets on Macroaxis

When determining whether SPDR SSgA Multi-Asset offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SPDR SSgA'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 Spdr Ssga Multi Asset Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Spdr Ssga Multi Asset Etf:
Check out SPDR SSgA Correlation, SPDR SSgA Volatility and SPDR SSgA Alpha and Beta module to complement your research on SPDR SSgA.
You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.

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When running SPDR SSgA's price analysis, check to measure SPDR SSgA's 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 SPDR SSgA is operating at the current time. Most of SPDR SSgA's value examination focuses on studying past and present price action to predict the probability of SPDR SSgA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SPDR SSgA's price. Additionally, you may evaluate how the addition of SPDR SSgA to your portfolios can decrease your overall portfolio volatility.
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SPDR SSgA 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 SPDR SSgA technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SPDR SSgA 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...