Qs Small Capitalization Fund Market Value
| LGSCX Fund | USD 11.72 0.13 1.12% |
| Symbol | LGSCX |
Qs Us '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 Us' 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 Us.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Qs Us on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Qs Small Capitalization or generate 0.0% return on investment in Qs Us over 30 days. Qs Us is related to or competes with Clearbridge Aggressive, Qs International, Clearbridge Appreciation, Legg Mason, Western Asset, Western Asset, and Western Asset. The fund normally invests at least 80 percent of net assets, plus any borrowings for investment purposes, in equity secu... More
Qs Us 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 Us' 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 Small Capitalization upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.32 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 5.54 | |||
| Value At Risk | (2.10) | |||
| Potential Upside | 1.81 |
Qs Us Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Qs Us' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Qs Us' standard deviation. In reality, there are many statistical measures that can use Qs Us historical prices to predict the future Qs Us' volatility.| Risk Adjusted Performance | 0.0333 | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0291 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Qs Us' 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 Small Capitalization Backtested Returns
We consider Qs Us very steady. Qs Small Capitalization retains Efficiency (Sharpe Ratio) of 0.0174, which implies the entity had a 0.0174% return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for Qs Us, which you can use to evaluate the volatility of the fund. Please check Qs Us' standard deviation of 1.22, and Market Risk Adjusted Performance of 0.0391 to confirm if the risk estimate we provide is consistent with the expected return of 0.0211%. The fund owns a Beta (Systematic Risk) of 1.58, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Qs Us will likely underperform.
Auto-correlation | 0.46 |
Average predictability
Qs Small Capitalization has average predictability. Overlapping area represents the amount of predictability between Qs Us time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd 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 Qs Small Capitalization price movement. The serial correlation of 0.46 indicates that about 46.0% of current Qs Us price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Qs Small Capitalization lagged returns against current returns
Autocorrelation, which is Qs Us 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 Us' mutual fund expected returns. We can calculate the autocorrelation of Qs Us returns to help us make a trade decision. For example, suppose you find that Qs Us 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 Us 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 Us mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Qs Us 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 Us mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Qs Us Lagged Returns
When evaluating Qs Us' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Qs Us mutual fund have on its future price. Qs Us 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 Us autocorrelation shows the relationship between Qs Us mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Qs Small Capitalization.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Qs Us Correlation, Qs Us Volatility and Qs Us Alpha and Beta module to complement your research on Qs Us. Note that the Qs Small Capitalization information on this page should be used as a complementary analysis to other Qs Us' 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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
Qs Us 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.