SSgA SPDR (Germany) Market Value
| SYBK Etf | EUR 39.33 0.17 0.43% |
| Symbol | SSgA |
SSgA SPDR '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 SSgA SPDR'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 SSgA SPDR.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in SSgA SPDR on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding SSgA SPDR ETFs or generate 0.0% return on investment in SSgA SPDR over 30 days. SSgA SPDR is related to or competes with SSgA SPDR, SSgA SPDR, and SSgA SPDR. The objective of the SPDR Barclays 0-5 Year US High Yield Bond UCITS ETF is to track the performance of the U.S More
SSgA SPDR 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 SSgA SPDR'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 SSgA SPDR ETFs upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2904 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 2.51 | |||
| Value At Risk | (0.45) | |||
| Potential Upside | 0.6682 |
SSgA SPDR Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SSgA SPDR's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SSgA SPDR's standard deviation. In reality, there are many statistical measures that can use SSgA SPDR historical prices to predict the future SSgA SPDR's volatility.| Risk Adjusted Performance | 0.2009 | |||
| Jensen Alpha | 0.0688 | |||
| Total Risk Alpha | 0.0332 | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.4071 |
SSgA SPDR ETFs Backtested Returns
At this point, SSgA SPDR is very steady. SSgA SPDR ETFs owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.27, which indicates the etf had a 0.27% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for SSgA SPDR ETFs, which you can use to evaluate the volatility of the etf. Please validate SSgA SPDR's Standard Deviation of 0.4015, downside deviation of 0.2904, and Risk Adjusted Performance of 0.2009 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%. The entity has a beta of 0.25, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SSgA SPDR's returns are expected to increase less than the market. However, during the bear market, the loss of holding SSgA SPDR is expected to be smaller as well.
Auto-correlation | 0.79 |
Good predictability
SSgA SPDR ETFs has good predictability. Overlapping area represents the amount of predictability between SSgA SPDR time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 SSgA SPDR ETFs price movement. The serial correlation of 0.79 indicates that around 79.0% of current SSgA SPDR price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.79 | |
| Spearman Rank Test | 0.94 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
SSgA SPDR ETFs lagged returns against current returns
Autocorrelation, which is SSgA SPDR 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 SSgA SPDR's etf expected returns. We can calculate the autocorrelation of SSgA SPDR returns to help us make a trade decision. For example, suppose you find that SSgA SPDR 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 |
SSgA SPDR 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 SSgA SPDR etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SSgA SPDR etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SSgA SPDR etf over time.
Current vs Lagged Prices |
| Timeline |
SSgA SPDR Lagged Returns
When evaluating SSgA SPDR's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SSgA SPDR etf have on its future price. SSgA SPDR 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, SSgA SPDR autocorrelation shows the relationship between SSgA SPDR etf current value and its past values and can show if there is a momentum factor associated with investing in SSgA SPDR ETFs.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in SSgA Etf
SSgA SPDR financial ratios help investors to determine whether SSgA 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 SSgA with respect to the benefits of owning SSgA SPDR security.