Qs Small Capitalization Fund Market Value
| LMSIX Fund | USD 12.72 0.30 2.42% |
| Symbol | LMSIX |
Qs Small '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 Small'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 Small.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Qs Small on December 15, 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 Small over 90 days. Qs Small is related to or competes with Delaware Limited, Jhancock Diversified, American Century, Fidelity Advisor, Global Diversified, and Lord Abbett. The fund normally invests at least 80 percent of net assets, plus any borrowings for investment purposes, in equity secu... More
Qs Small 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 Small'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 Small Capitalization upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 5.66 | |||
| Value At Risk | (2.67) | |||
| Potential Upside | 1.74 |
Qs Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Qs Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Qs Small's standard deviation. In reality, there are many statistical measures that can use Qs Small historical prices to predict the future Qs Small's volatility.| Risk Adjusted Performance | (0.17) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.11) | |||
| Treynor Ratio | (0.26) |
Qs Small Capitalization Backtested Returns
Qs Small Capitalization retains Efficiency (Sharpe Ratio) of -0.2, which implies the entity had a -0.2 % return per unit of price deviation over the last 3 months. Qs Small exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Qs Small's market risk adjusted performance of (0.25), and Information Ratio of (0.13) to confirm the risk estimate we provide. The fund owns a Beta (Systematic Risk) of 1.1, which implies a somewhat significant risk relative to the market. Qs Small returns are very sensitive to returns on the market. As the market goes up or down, Qs Small is expected to follow.
Auto-correlation | -0.3 |
Weak reverse predictability
Qs Small Capitalization has weak reverse predictability. Overlapping area represents the amount of predictability between Qs Small time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 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 Small Capitalization price movement. The serial correlation of -0.3 indicates that nearly 30.0% of current Qs Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.3 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.38 |
Qs Small Capitalization lagged returns against current returns
Autocorrelation, which is Qs Small 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 Small's mutual fund expected returns. We can calculate the autocorrelation of Qs Small returns to help us make a trade decision. For example, suppose you find that Qs Small 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 Small 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 Small mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Qs Small 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 Small mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Qs Small Lagged Returns
When evaluating Qs Small's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Qs Small mutual fund have on its future price. Qs Small 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 Small autocorrelation shows the relationship between Qs Small 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 |
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 LMSIX Mutual Fund
Qs Small financial ratios help investors to determine whether LMSIX 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 LMSIX with respect to the benefits of owning Qs Small security.
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