Qs Sp 500 Fund Market Value
| SBSPX Fund | USD 53.49 0.02 0.04% |
| Symbol | SBSPX |
Qs 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 Qs 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 Qs Sp.
| 11/29/2025 |
| 12/29/2025 |
If you would invest 0.00 in Qs Sp on November 29, 2025 and sell it all today you would earn a total of 0.00 from holding Qs Sp 500 or generate 0.0% return on investment in Qs Sp over 30 days. Qs Sp is related to or competes with Blackrock, Gabelli MultiMedia, Amg Gwk, Brown Advisory, Green Century, Congress Mid, and Brown Advisory. The fund invests at least 80 percent of its net assets, plus borrowings for investment purposes, if any, in equity secur... More
Qs 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 Qs 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 Qs Sp 500 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.01 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 3.28 | |||
| Value At Risk | (1.16) | |||
| Potential Upside | 1.23 |
Qs Sp Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Qs Sp's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Qs Sp's standard deviation. In reality, there are many statistical measures that can use Qs Sp historical prices to predict the future Qs Sp's volatility.| Risk Adjusted Performance | 0.0534 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0534 |
Qs Sp 500 Backtested Returns
At this stage we consider SBSPX Mutual Fund to be very steady. Qs Sp 500 retains Efficiency (Sharpe Ratio) of 0.0615, which implies the entity had a 0.0615 % return per unit of price deviation over the last 3 months. We have found twenty-eight technical indicators for Qs Sp, which you can use to evaluate the volatility of the fund. Please check Qs Sp's market risk adjusted performance of 0.0634, and Standard Deviation of 0.7889 to confirm if the risk estimate we provide is consistent with the expected return of 0.0492%. The fund owns a Beta (Systematic Risk) of 0.91, which implies possible diversification benefits within a given portfolio. Qs Sp returns are very sensitive to returns on the market. As the market goes up or down, Qs Sp is expected to follow.
Auto-correlation | 0.30 |
Below average predictability
Qs Sp 500 has below average predictability. Overlapping area represents the amount of predictability between Qs Sp time series from 29th of November 2025 to 14th of December 2025 and 14th of December 2025 to 29th of December 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 Qs Sp 500 price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Qs Sp price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.29 |
Qs Sp 500 lagged returns against current returns
Autocorrelation, which is Qs 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 Qs Sp's mutual fund expected returns. We can calculate the autocorrelation of Qs Sp returns to help us make a trade decision. For example, suppose you find that Qs 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 |
Qs 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 Qs Sp mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Qs 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 Qs Sp mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Qs Sp Lagged Returns
When evaluating Qs Sp's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Qs Sp mutual fund have on its future price. Qs 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, Qs Sp autocorrelation shows the relationship between Qs Sp mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Qs Sp 500.
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 SBSPX Mutual Fund
Qs Sp financial ratios help investors to determine whether SBSPX Mutual Fund 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 SBSPX with respect to the benefits of owning Qs Sp security.
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