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 27.38 as of the 26th of November 2024; that is 0.70 percent increase since the beginning of the trading day. The etf's lowest day price was 27.17. 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 Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
SPDR
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
05/30/2024
No Change 0.00
0.0
In 5 months and 30 days
11/26/2024
0.00
If you would invest 0.00 in SPDR Bloomberg on May 30, 2024 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 180 days.
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.
At this stage we consider SPDR Etf to be very steady. SPDR Bloomberg Emerging owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.14, which indicates the etf had a 0.14% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SPDR Bloomberg Emerging, which you can use to evaluate the volatility of the etf. Please validate SPDR Bloomberg's coefficient of variation of 1060.58, and Risk Adjusted Performance of 0.055 to confirm if the risk estimate we provide is consistent with the expected return of 0.0403%. The entity has a beta of 0.0766, which indicates not very significant fluctuations relative to the market. 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
0.08
Virtually no predictability
SPDR Bloomberg Emerging has virtually no predictability. Overlapping area represents the amount of predictability between SPDR Bloomberg time series from 30th of May 2024 to 28th of August 2024 and 28th of August 2024 to 26th of November 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 Bloomberg Emerging price movement. The serial correlation of 0.08 indicates that barely 8.0% of current SPDR Bloomberg price fluctuation can be explain by its past prices.
Correlation Coefficient
0.08
Spearman Rank Test
-0.16
Residual Average
0.0
Price Variance
0.06
SPDR Bloomberg Emerging lagged returns against current returns
Autocorrelation, which is SPDR Bloomberg 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 Bloomberg's etf expected returns. We can calculate the autocorrelation of SPDR Bloomberg returns to help us make a trade decision. For example, suppose you find that SPDR Bloomberg 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
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SPDR Bloomberg 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 Bloomberg etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR Bloomberg etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR Bloomberg etf over time.
Current vs Lagged Prices
Timeline
SPDR Bloomberg Lagged Returns
When evaluating SPDR Bloomberg's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR Bloomberg etf have on its future price. SPDR Bloomberg 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 Bloomberg autocorrelation shows the relationship between SPDR Bloomberg etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR Bloomberg Emerging.
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.