SPDR SP's market value is the price at which a share of SPDR SP trades on a public exchange. It measures the collective expectations of SPDR SP Technology investors about its performance. SPDR SP is trading at 102.24 as of the 14th of March 2025, a 1.87% increase since the beginning of the trading day. The etf's lowest day price was 100.46. With this module, you can estimate the performance of a buy and hold strategy of SPDR SP Technology and determine expected loss or profit from investing in SPDR SP 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 SP '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 SP'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 SP.
0.00
12/14/2024
No Change 0.00
0.0
In 3 months and 1 day
03/14/2025
0.00
If you would invest 0.00 in SPDR SP on December 14, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR SP Technology or generate 0.0% return on investment in SPDR SP over 90 days.
SPDR SP 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 SP'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 SP Technology 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 SP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR SP's standard deviation. In reality, there are many statistical measures that can use SPDR SP historical prices to predict the future SPDR SP's volatility.
SPDR SP Technology owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.15, which indicates the etf had a -0.15 % return per unit of volatility over the last 3 months. SPDR SP Technology exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SPDR SP's risk adjusted performance of (0.12), and Variance of 2.36 to confirm the risk estimate we provide. The entity has a beta of 0.19, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SPDR SP's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR SP is expected to be smaller as well.
Auto-correlation
0.25
Poor predictability
SPDR SP Technology has poor predictability. Overlapping area represents the amount of predictability between SPDR SP time series from 14th of December 2024 to 28th of January 2025 and 28th of January 2025 to 14th of March 2025. 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 SP Technology price movement. The serial correlation of 0.25 indicates that over 25.0% of current SPDR SP price fluctuation can be explain by its past prices.
Correlation Coefficient
0.25
Spearman Rank Test
0.26
Residual Average
0.0
Price Variance
14.69
SPDR SP Technology lagged returns against current returns
Autocorrelation, which is SPDR SP 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 SP's etf expected returns. We can calculate the autocorrelation of SPDR SP returns to help us make a trade decision. For example, suppose you find that SPDR SP 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 SP 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 SP etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPDR SP etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPDR SP etf over time.
Current vs Lagged Prices
Timeline
SPDR SP Lagged Returns
When evaluating SPDR SP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPDR SP etf have on its future price. SPDR SP 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 SP autocorrelation shows the relationship between SPDR SP etf current value and its past values and can show if there is a momentum factor associated with investing in SPDR SP Technology.
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.