SPDR Bloomberg's market value is the price at which a share of SPDR Bloomberg trades on a public exchange. It measures the collective expectations of SPDR Bloomberg Emerging investors about its performance. SPDR Bloomberg is selling for under 45.97 as of the 18th of February 2026; that is 0.02 percent decrease since the beginning of the trading day. The etf's lowest day price was 45.97. With this module, you can estimate the performance of a buy and hold strategy of SPDR Bloomberg Emerging and determine expected loss or profit from investing in SPDR Bloomberg over a given investment horizon. Check out SPDR Bloomberg Correlation, SPDR Bloomberg Volatility and SPDR Bloomberg Performance module to complement your research on SPDR Bloomberg.
It's important to distinguish between SPDR Bloomberg's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding SPDR Bloomberg should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, SPDR Bloomberg's market price signifies the transaction level at which participants voluntarily complete trades.
SPDR Bloomberg '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 Bloomberg'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 Bloomberg.
0.00
11/20/2025
No Change 0.00
0.0
In 3 months and 1 day
02/18/2026
0.00
If you would invest 0.00 in SPDR Bloomberg on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding SPDR Bloomberg Emerging or generate 0.0% return on investment in SPDR Bloomberg over 90 days. SPDR Bloomberg is related to or competes with UBS ETF, Xtrackers Switzerland, Vanguard FTSE, IShares Core, Vanguard FTSE, IShares VII, and Amundi Index. The fund seeks to replicate, before expenses, the performance of the liquid local currency emerging markets debt market More
SPDR Bloomberg 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 Bloomberg'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 Bloomberg Emerging upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Bloomberg's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Bloomberg's standard deviation. In reality, there are many statistical measures that can use SPDR Bloomberg historical prices to predict the future SPDR Bloomberg's volatility.
SPDR Bloomberg Emerging owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0234, which indicates the etf had a -0.0234 % return per unit of volatility over the last 3 months. SPDR Bloomberg Emerging exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPDR Bloomberg's variance of 2.36, and Risk Adjusted Performance of (0.01) to confirm the risk estimate we provide. The entity has a beta of 0.57, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SPDR Bloomberg's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR Bloomberg is expected to be smaller as well.
Auto-correlation
0.22
Weak predictability
SPDR Bloomberg Emerging has weak predictability. Overlapping area represents the amount of predictability between SPDR Bloomberg time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th of February 2026. 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 Bloomberg Emerging price movement. The serial correlation of 0.22 indicates that over 22.0% of current SPDR Bloomberg price fluctuation can be explain by its past prices.
Correlation Coefficient
0.22
Spearman Rank Test
0.44
Residual Average
0.0
Price Variance
0.69
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 SPDR Bloomberg Emerging is a strong investment it is important to analyze SPDR Bloomberg's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact SPDR Bloomberg's future performance. For an informed investment choice regarding SPDR Etf, refer to the following important reports:
SPDR Bloomberg 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 Bloomberg technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SPDR Bloomberg 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...