Ssga Sp 500 Fund Market Value
| SVSPX Fund | USD 237.02 0.51 0.21% |
| Symbol | Ssga |
Ssga 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 Ssga Sp's mutual fund 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 Sp.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Ssga Sp on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Ssga Sp 500 or generate 0.0% return on investment in Ssga Sp over 30 days. Ssga Sp is related to or competes with State Street, State Street, Ssga International, State Street, State Street, State Street, and State Street. The adviser uses an index tracking management strategy designed to track the performance of the SP 500 Index More
Ssga 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 Ssga Sp's mutual fund 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 Sp 500 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7111 | |||
| Information Ratio | 0.0206 | |||
| Maximum Drawdown | 3.55 | |||
| Value At Risk | (1.22) | |||
| Potential Upside | 1.12 |
Ssga Sp Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ssga Sp's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ssga Sp's standard deviation. In reality, there are many statistical measures that can use Ssga Sp historical prices to predict the future Ssga Sp's volatility.| Risk Adjusted Performance | 0.0723 | |||
| Jensen Alpha | 0.0146 | |||
| Total Risk Alpha | 0.0044 | |||
| Sortino Ratio | 0.0212 | |||
| Treynor Ratio | 0.0731 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ssga Sp's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Ssga Sp 500 Backtested Returns
We consider Ssga Sp very steady. Ssga Sp 500 owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0822, which indicates the fund had a 0.0822% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Ssga Sp 500, which you can use to evaluate the volatility of the fund. Please validate Ssga Sp's Coefficient Of Variation of 873.29, semi deviation of 0.5878, and Risk Adjusted Performance of 0.0723 to confirm if the risk estimate we provide is consistent with the expected return of 0.0593%. The entity has a beta of 1.01, which indicates a somewhat significant risk relative to the market. Ssga Sp returns are very sensitive to returns on the market. As the market goes up or down, Ssga Sp is expected to follow.
Auto-correlation | 0.55 |
Modest predictability
Ssga Sp 500 has modest predictability. Overlapping area represents the amount of predictability between Ssga Sp time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 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 Sp 500 price movement. The serial correlation of 0.55 indicates that about 55.0% of current Ssga Sp price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.55 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 11.98 |
Ssga Sp 500 lagged returns against current returns
Autocorrelation, which is Ssga Sp mutual fund'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 Sp's mutual fund expected returns. We can calculate the autocorrelation of Ssga Sp returns to help us make a trade decision. For example, suppose you find that Ssga Sp has exhibited high autocorrelation historically, and you observe that the mutual fund 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 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 Ssga Sp mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ssga Sp mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ssga Sp mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Ssga Sp Lagged Returns
When evaluating Ssga Sp's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ssga Sp mutual fund have on its future price. Ssga 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, Ssga Sp autocorrelation shows the relationship between Ssga Sp mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Ssga Sp 500.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Ssga Sp Correlation, Ssga Sp Volatility and Ssga Sp Alpha and Beta module to complement your research on Ssga Sp. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Ssga Sp technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.