SPDR Barclays' market value is the price at which a share of SPDR Barclays trades on a public exchange. It measures the collective expectations of SPDR Barclays 3 5 investors about its performance. SPDR Barclays is trading at 26.48 as of the 26th of November 2024, a 0.04 percent up since the beginning of the trading day. The etf's lowest day price was 26.43. With this module, you can estimate the performance of a buy and hold strategy of SPDR Barclays 3 5 and determine expected loss or profit from investing in SPDR Barclays over a given investment horizon. Check out World Market Map 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 Barclays '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 Barclays' 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 Barclays.
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 Barclays on May 30, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR Barclays 3 5 or generate 0.0% return on investment in SPDR Barclays over 180 days.
SPDR Barclays 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 Barclays' 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 Barclays 3 5 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 Barclays' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Barclays' standard deviation. In reality, there are many statistical measures that can use SPDR Barclays historical prices to predict the future SPDR Barclays' volatility.
At this point, SPDR Barclays is very steady. SPDR Barclays 3 owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.2, which indicates the etf had a 0.2% return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for SPDR Barclays 3 5, which you can use to evaluate the volatility of the etf. Please validate SPDR Barclays' risk adjusted performance of 0.1515, and Standard Deviation of 0.3518 to confirm if the risk estimate we provide is consistent with the expected return of 0.0708%. The entity has a beta of 0.0922, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SPDR Barclays' returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR Barclays is expected to be smaller as well.
Auto-correlation
0.10
Insignificant predictability
SPDR Barclays 3 5 has insignificant predictability. Overlapping area represents the amount of predictability between SPDR Barclays 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 Barclays 3 price movement. The serial correlation of 0.1 indicates that less than 10.0% of current SPDR Barclays price fluctuation can be explain by its past prices.
Correlation Coefficient
0.1
Spearman Rank Test
0.43
Residual Average
0.0
Price Variance
0.09
SPDR Barclays 3 lagged returns against current returns
Autocorrelation, which is SPDR Barclays 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 Barclays' etf expected returns. We can calculate the autocorrelation of SPDR Barclays returns to help us make a trade decision. For example, suppose you find that SPDR Barclays 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 Barclays 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 Barclays etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR Barclays etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR Barclays etf over time.
Current vs Lagged Prices
Timeline
SPDR Barclays Lagged Returns
When evaluating SPDR Barclays' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR Barclays etf have on its future price. SPDR Barclays 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 Barclays autocorrelation shows the relationship between SPDR Barclays etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR Barclays 3 5.
Regressed Prices
Timeline
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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.