SPDR SP (Switzerland) Market Value
| SXLU Etf | USD 47.74 0.40 0.84% |
| 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.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in SPDR SP on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding SPDR SP Utilities or generate 0.0% return on investment in SPDR SP over 90 days. SPDR SP is related to or competes with SPDR MSCI, SPDR MSCI, SPDR MSCI, SPDR SP, SPDR MSCI, and SPDR MSCI. Utilities Select Sector UCITS ETF is to track the performance of large sized U.S More
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 Utilities upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.32 | |||
| Information Ratio | 0.1224 | |||
| Maximum Drawdown | 5.56 | |||
| Value At Risk | (2.45) | |||
| Potential Upside | 2.13 |
SPDR SP Market Risk Indicators
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.| Risk Adjusted Performance | 0.0365 | |||
| Jensen Alpha | 0.0332 | |||
| Total Risk Alpha | 0.1846 | |||
| Sortino Ratio | 0.1102 | |||
| Treynor Ratio | (1.35) |
SPDR SP Utilities Backtested Returns
At this stage we consider SPDR Etf to be very steady. SPDR SP Utilities 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 SP Utilities, which you can use to evaluate the volatility of the etf. Please validate SPDR SP's coefficient of variation of 2573.5, and Risk Adjusted Performance of 0.0365 to confirm if the risk estimate we provide is consistent with the expected return of 0.0461%. The entity has a beta of -0.0268, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SPDR SP are expected to decrease at a much lower rate. During the bear market, SPDR SP is likely to outperform the market.
Auto-correlation | 0.01 |
Virtually no predictability
SPDR SP Utilities has virtually no predictability. Overlapping area represents the amount of predictability between SPDR SP time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th 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 Utilities price movement. The serial correlation of 0.01 indicates that just 1.0% of current SPDR SP price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.01 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.43 |
SPDR SP Utilities 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 Utilities.
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.Other Information on Investing in SPDR Etf
SPDR SP financial ratios help investors to determine whether SPDR Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SPDR with respect to the benefits of owning SPDR SP security.