SSgA SPDR (UK) Market Value
| EMSD Etf | 116.78 1.44 1.25% |
| 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.
| 09/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in SSgA SPDR on September 27, 2024 and sell it all today you would earn a total of 0.00 from holding SSgA SPDR MSCI or generate 0.0% return on investment in SSgA SPDR over 60 days. SSgA SPDR is related to or competes with Leverage Shares, Leverage Shares, GraniteShares, GraniteShares FAANG, GraniteShares, GraniteShares FATANG, and Leverage Shares. SSgA SPDR is entity of United Kingdom. It is traded as Etf on LSE exchange. 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 MSCI upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 3.72 | |||
| Value At Risk | (1.36) | |||
| Potential Upside | 1.35 |
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 | (0.05) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | 1.02 |
SSgA SPDR MSCI Backtested Returns
SSgA SPDR MSCI owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0579, which indicates the etf had a -0.0579% return per unit of risk over the last 3 months. SSgA SPDR MSCI exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SSgA SPDR's Risk Adjusted Performance of (0.05), variance of 0.6098, and Coefficient Of Variation of (1,464) to confirm the risk estimate we provide. The entity has a beta of -0.0623, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SSgA SPDR are expected to decrease at a much lower rate. During the bear market, SSgA SPDR is likely to outperform the market.
Auto-correlation | 0.58 |
Modest predictability
SSgA SPDR MSCI has modest predictability. Overlapping area represents the amount of predictability between SSgA SPDR time series from 27th of September 2024 to 27th of October 2024 and 27th of October 2024 to 26th 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 MSCI price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current SSgA SPDR price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 6.97 |
SSgA SPDR MSCI 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 MSCI.
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 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.