Qs Growth Fund Market Value
| LLLRX Fund | USD 17.22 0.06 0.35% |
| Symbol | LLLRX |
Qs Growth '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 Growth'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 Growth.
| 02/10/2024 |
| 01/05/2025 |
If you would invest 0.00 in Qs Growth on February 10, 2024 and sell it all today you would earn a total of 0.00 from holding Qs Growth Fund or generate 0.0% return on investment in Qs Growth over 330 days. Qs Growth is related to or competes with Pimco Energy, Icon Natural, and Salient Mlp. The fund is a fund of fundsit invests in other mutual funds and may also invest in exchange-traded funds More
Qs Growth 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 Growth'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 Growth Fund upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 7.77 | |||
| Value At Risk | (0.88) | |||
| Potential Upside | 0.9259 |
Qs Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Qs Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Qs Growth's standard deviation. In reality, there are many statistical measures that can use Qs Growth historical prices to predict the future Qs Growth's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.08) | |||
| Treynor Ratio | (0.22) |
Qs Growth Fund Backtested Returns
Qs Growth Fund retains Efficiency (Sharpe Ratio) of -0.0496, which implies the entity had a -0.0496% return per unit of price deviation over the last 3 months. Qs Growth exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Qs Growth's market risk adjusted performance of (0.21), and Information Ratio of (0.07) to confirm the risk estimate we provide. The fund owns a Beta (Systematic Risk) of 0.27, which implies not very significant fluctuations relative to the market. As returns on the market increase, Qs Growth's returns are expected to increase less than the market. However, during the bear market, the loss of holding Qs Growth is expected to be smaller as well.
Auto-correlation | 0.48 |
Average predictability
Qs Growth Fund has average predictability. Overlapping area represents the amount of predictability between Qs Growth time series from 10th of February 2024 to 24th of July 2024 and 24th of July 2024 to 5th of January 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 Growth Fund price movement. The serial correlation of 0.48 indicates that about 48.0% of current Qs Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.32 |
Qs Growth Fund lagged returns against current returns
Autocorrelation, which is Qs Growth 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 Growth's mutual fund expected returns. We can calculate the autocorrelation of Qs Growth returns to help us make a trade decision. For example, suppose you find that Qs Growth 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 Growth 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 Growth mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Qs Growth 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 Growth mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Qs Growth Lagged Returns
When evaluating Qs Growth's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Qs Growth mutual fund have on its future price. Qs Growth 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 Growth autocorrelation shows the relationship between Qs Growth mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Qs Growth Fund.
Regressed Prices |
| Timeline |
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Other Information on Investing in LLLRX Mutual Fund
Qs Growth financial ratios help investors to determine whether LLLRX 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 LLLRX with respect to the benefits of owning Qs Growth security.
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