Qs Large Cap Fund Market Value
| LMTIX Fund | USD 25.24 0.17 0.67% |
| Symbol | LMTIX |
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.
| 04/02/2023 |
| 11/22/2024 |
If you would invest 0.00 in Qs Us on April 2, 2023 and sell it all today you would earn a total of 0.00 from holding Qs Large Cap or generate 0.0% return on investment in Qs Us over 600 days. Qs Us is related to or competes with Artisan Global, Dodge Cox, Mirova Global, Ab Global, and Ms Global. Under normal circumstances, the fund invests at least 80 percent of its net assets, plus borrowings for investment purpo... 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 Large Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8878 | |||
| Information Ratio | 0.0186 | |||
| Maximum Drawdown | 4.18 | |||
| Value At Risk | (1.49) | |||
| Potential Upside | 1.55 |
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 | 0.1116 | |||
| Total Risk Alpha | 0.0025 | |||
| Sortino Ratio | 0.0182 |
Qs Large Cap Backtested Returns
At this stage we consider LMTIX Mutual Fund to be somewhat reliable. Qs Large Cap retains Efficiency (Sharpe Ratio) of 0.14, which implies the entity had a 0.14% return per unit of price deviation over the last 3 months. We have found twenty-four technical indicators for Qs Us, which you can use to evaluate the volatility of the fund. Please check Qs Us' mean deviation of 0.632, and Variance of 0.7526 to confirm if the risk estimate we provide is consistent with the expected return of 0.12%. The fund owns a Beta (Systematic Risk) of 0.0, which implies not very significant fluctuations relative to the market. the returns on MARKET and Qs Us are completely uncorrelated.
Auto-correlation | 0.77 |
Good predictability
Qs Large Cap has good predictability. Overlapping area represents the amount of predictability between Qs Us time series from 2nd of April 2023 to 27th of January 2024 and 27th of January 2024 to 22nd of November 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 Large Cap price movement. The serial correlation of 0.77 indicates that around 77.0% of current Qs Us price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.77 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 1.83 |
Qs Large Cap 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 Large Cap.
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 LMTIX Mutual Fund
Qs Us financial ratios help investors to determine whether LMTIX 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 LMTIX with respect to the benefits of owning Qs Us security.
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