SPDR BB's market value is the price at which a share of SPDR BB trades on a public exchange. It measures the collective expectations of SPDR BB SB investors about its performance. SPDR BB is selling for under 26.14 as of the 24th of November 2024; that is 0.11 percent decrease since the beginning of the trading day. The etf's lowest day price was 26.13. With this module, you can estimate the performance of a buy and hold strategy of SPDR BB SB and determine expected loss or profit from investing in SPDR BB 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 BB '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 BB'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 BB.
0.00
11/30/2023
No Change 0.00
0.0
In 11 months and 27 days
11/24/2024
0.00
If you would invest 0.00 in SPDR BB on November 30, 2023 and sell it all today you would earn a total of 0.00 from holding SPDR BB SB or generate 0.0% return on investment in SPDR BB over 360 days.
SPDR BB 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 BB'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 BB SB 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 BB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR BB's standard deviation. In reality, there are many statistical measures that can use SPDR BB historical prices to predict the future SPDR BB's volatility.
SPDR BB SB owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0968, which indicates the etf had a -0.0968% return per unit of volatility over the last 3 months. SPDR BB SB exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPDR BB's risk adjusted performance of (0.09), and Variance of 0.1139 to confirm the risk estimate we provide. The entity has a beta of -0.0749, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SPDR BB are expected to decrease at a much lower rate. During the bear market, SPDR BB is likely to outperform the market.
Auto-correlation
-0.28
Weak reverse predictability
SPDR BB SB has weak reverse predictability. Overlapping area represents the amount of predictability between SPDR BB time series from 30th of November 2023 to 28th of May 2024 and 28th of May 2024 to 24th 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 BB SB price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current SPDR BB price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.28
Spearman Rank Test
-0.13
Residual Average
0.0
Price Variance
0.23
SPDR BB SB lagged returns against current returns
Autocorrelation, which is SPDR BB 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 BB's etf expected returns. We can calculate the autocorrelation of SPDR BB returns to help us make a trade decision. For example, suppose you find that SPDR BB 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 BB 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 BB etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR BB etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR BB etf over time.
Current vs Lagged Prices
Timeline
SPDR BB Lagged Returns
When evaluating SPDR BB's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR BB etf have on its future price. SPDR BB 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 BB autocorrelation shows the relationship between SPDR BB etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR BB SB.
Regressed Prices
Timeline
Thematic Opportunities
Explore Investment Opportunities
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.