SPDR ICE's market value is the price at which a share of SPDR ICE trades on a public exchange. It measures the collective expectations of SPDR ICE BofA investors about its performance. SPDR ICE is trading at 29.19 as of the 2nd of December 2024, a 0.14 percent increase since the beginning of the trading day. The etf's lowest day price was 29.14. With this module, you can estimate the performance of a buy and hold strategy of SPDR ICE BofA and determine expected loss or profit from investing in SPDR ICE over a given investment horizon. Check out Your Current Watchlist 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 ICE '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 ICE'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 ICE.
0.00
10/03/2024
No Change 0.00
0.0
In 2 months and 1 day
12/02/2024
0.00
If you would invest 0.00 in SPDR ICE on October 3, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR ICE BofA or generate 0.0% return on investment in SPDR ICE over 60 days.
SPDR ICE 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 ICE'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 ICE BofA 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 ICE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR ICE's standard deviation. In reality, there are many statistical measures that can use SPDR ICE historical prices to predict the future SPDR ICE's volatility.
At this point, SPDR ICE is very steady. SPDR ICE BofA owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0389, which indicates the etf had a 0.0389% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SPDR ICE BofA, which you can use to evaluate the volatility of the etf. Please validate SPDR ICE's risk adjusted performance of (0.01), and Coefficient Of Variation of 2203.64 to confirm if the risk estimate we provide is consistent with the expected return of 0.0059%. The entity has a beta of 0.0303, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SPDR ICE's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR ICE is expected to be smaller as well.
Auto-correlation
-0.47
Modest reverse predictability
SPDR ICE BofA has modest reverse predictability. Overlapping area represents the amount of predictability between SPDR ICE time series from 3rd of October 2024 to 2nd of November 2024 and 2nd of November 2024 to 2nd of December 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 ICE BofA price movement. The serial correlation of -0.47 indicates that about 47.0% of current SPDR ICE price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.47
Spearman Rank Test
-0.48
Residual Average
0.0
Price Variance
0.0
SPDR ICE BofA lagged returns against current returns
Autocorrelation, which is SPDR ICE 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 ICE's etf expected returns. We can calculate the autocorrelation of SPDR ICE returns to help us make a trade decision. For example, suppose you find that SPDR ICE 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 ICE 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 ICE etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR ICE etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR ICE etf over time.
Current vs Lagged Prices
Timeline
SPDR ICE Lagged Returns
When evaluating SPDR ICE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR ICE etf have on its future price. SPDR ICE 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 ICE autocorrelation shows the relationship between SPDR ICE etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR ICE BofA.
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.