Qs Sp 500 Fund Market Value
SBSDX Fund | USD 41.14 0.36 0.88% |
Symbol | SBSDX |
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.
06/07/2022 |
| 03/28/2024 |
If you would invest 0.00 in Qs Sp on June 7, 2022 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 660 days. Qs Sp is related to or competes with State Farm, Clearbridge Aggressive, Clearbridge Small, Mfs Global, Qs International, Qs International, and Clearbridge Appreciation. 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 | 0.58 | |||
Information Ratio | 0.037 | |||
Maximum Drawdown | 3.15 | |||
Value At Risk | (0.78) | |||
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 | 0.1341 | |||
Jensen Alpha | 0.0248 | |||
Total Risk Alpha | (0.0002) | |||
Sortino Ratio | 0.0425 | |||
Treynor Ratio | 0.1491 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Qs 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.
Qs Sp 500 Backtested Returns
We consider Qs Sp very steady. Qs Sp 500 retains Efficiency (Sharpe Ratio) of 0.23, which implies the entity had a 0.23% 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 0.1591, and Standard Deviation of 0.6665 to confirm if the risk estimate we provide is consistent with the expected return of 0.16%. The fund owns a Beta (Systematic Risk) of 1.0, 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 | 0.48 |
Average predictability
Qs Sp 500 has average predictability. Overlapping area represents the amount of predictability between Qs Sp time series from 7th of June 2022 to 3rd of May 2023 and 3rd of May 2023 to 28th of March 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 Qs Sp 500 price movement. The serial correlation of 0.48 indicates that about 48.0% of current Qs Sp price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.48 | |
Spearman Rank Test | 0.29 | |
Residual Average | 0.0 | |
Price Variance | 6.2 |
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 |
Currently Active Assets on Macroaxis
Check out Qs Sp Correlation, Qs Sp Volatility and Qs Sp Alpha and Beta module to complement your research on Qs Sp. Note that the Qs Sp 500 information on this page should be used as a complementary analysis to other Qs Sp's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Complementary Tools for SBSDX Mutual Fund analysis
When running Qs Sp's price analysis, check to measure Qs Sp's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Qs Sp is operating at the current time. Most of Qs Sp's value examination focuses on studying past and present price action to predict the probability of Qs Sp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Qs Sp's price. Additionally, you may evaluate how the addition of Qs Sp to your portfolios can decrease your overall portfolio volatility.
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Qs 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.