Queens Road Value Fund Market Value
| QRVLX Fund | USD 30.01 0.01 0.03% |
| Symbol | Queens |
Queens Road '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 Queens Road'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 Queens Road.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Queens Road on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Queens Road Value or generate 0.0% return on investment in Queens Road over 30 days. Queens Road is related to or competes with Edgewood Growth, Hartford Schroders, HUMANA, Morningstar Unconstrained, High Yield, Thrivent High, and Via Renewables. The fund seeks to achieve its investment objective by investing primarily in the equity securities of U.S More
Queens Road 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 Queens Road'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 Queens Road Value upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6032 | |||
| Information Ratio | 0.0739 | |||
| Maximum Drawdown | 3.14 | |||
| Value At Risk | (1.08) | |||
| Potential Upside | 1.02 |
Queens Road Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Queens Road's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Queens Road's standard deviation. In reality, there are many statistical measures that can use Queens Road historical prices to predict the future Queens Road's volatility.| Risk Adjusted Performance | 0.1422 | |||
| Jensen Alpha | 0.0554 | |||
| Total Risk Alpha | 0.0464 | |||
| Sortino Ratio | 0.0756 | |||
| Treynor Ratio | 0.1479 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Queens Road'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.
Queens Road Value Backtested Returns
We consider Queens Road very steady. Queens Road Value maintains Sharpe Ratio (i.e., Efficiency) of 0.19, which implies the entity had a 0.19% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Queens Road Value, which you can use to evaluate the volatility of the fund. Please check Queens Road's Risk Adjusted Performance of 0.1422, semi deviation of 0.3476, and Coefficient Of Variation of 438.22 to confirm if the risk estimate we provide is consistent with the expected return of 0.12%. The fund holds a Beta of 0.89, which implies possible diversification benefits within a given portfolio. Queens Road returns are very sensitive to returns on the market. As the market goes up or down, Queens Road is expected to follow.
Auto-correlation | -0.3 |
Weak reverse predictability
Queens Road Value has weak reverse predictability. Overlapping area represents the amount of predictability between Queens Road time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Queens Road Value price movement. The serial correlation of -0.3 indicates that nearly 30.0% of current Queens Road price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.3 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Queens Road Value lagged returns against current returns
Autocorrelation, which is Queens Road 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 Queens Road's mutual fund expected returns. We can calculate the autocorrelation of Queens Road returns to help us make a trade decision. For example, suppose you find that Queens Road 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 |
Queens Road 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 Queens Road mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Queens Road mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Queens Road mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Queens Road Lagged Returns
When evaluating Queens Road's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Queens Road mutual fund have on its future price. Queens Road 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, Queens Road autocorrelation shows the relationship between Queens Road mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Queens Road Value.
Regressed Prices |
| Timeline |
Becoming a Better Investor with Macroaxis
Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Queens Road Value using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.Build Optimal Portfolios
Align your risk with return expectations
Check out Queens Road Correlation, Queens Road Volatility and Queens Road Alpha and Beta module to complement your research on Queens Road. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Queens Road 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.