QUEEN S (Germany) Market Value
| 47U Stock | EUR 0.50 0.01 1.96% |
| Symbol | QUEEN |
QUEEN S '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 QUEEN S's stock 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 QUEEN S.
| 12/07/2022 |
| 11/26/2024 |
If you would invest 0.00 in QUEEN S on December 7, 2022 and sell it all today you would earn a total of 0.00 from holding QUEEN S ROAD or generate 0.0% return on investment in QUEEN S over 720 days. QUEEN S is related to or competes with Information Services, Cleanaway Waste, Q2M Managementberatu, AGF Management, Waste Management, Hyrican Informationssyst, and MICRONIC MYDATA. Queens Road Capital Investment Ltd., a resource focused investment company, invests in privately held and publicly trade... More
QUEEN S 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 QUEEN S's stock 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 QUEEN S ROAD upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.8 | |||
| Information Ratio | 0.0174 | |||
| Maximum Drawdown | 22.18 | |||
| Value At Risk | (6.00) | |||
| Potential Upside | 6.67 |
QUEEN S Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for QUEEN S's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as QUEEN S's standard deviation. In reality, there are many statistical measures that can use QUEEN S historical prices to predict the future QUEEN S's volatility.| Risk Adjusted Performance | 0.0481 | |||
| Jensen Alpha | 0.0924 | |||
| Total Risk Alpha | (0.39) | |||
| Sortino Ratio | 0.0133 | |||
| Treynor Ratio | 0.2403 |
QUEEN S ROAD Backtested Returns
QUEEN S appears to be out of control, given 3 months investment horizon. QUEEN S ROAD maintains Sharpe Ratio (i.e., Efficiency) of 0.053, which implies the firm had a 0.053% return per unit of volatility over the last 3 months. We have found twenty-seven technical indicators for QUEEN S ROAD, which you can use to evaluate the volatility of the company. Please evaluate QUEEN S's semi deviation of 2.85, and Risk Adjusted Performance of 0.0481 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, QUEEN S holds a performance score of 4. The company holds a Beta of 0.76, which implies possible diversification benefits within a given portfolio. As returns on the market increase, QUEEN S's returns are expected to increase less than the market. However, during the bear market, the loss of holding QUEEN S is expected to be smaller as well. Please check QUEEN S's semi deviation, coefficient of variation, and the relationship between the mean deviation and downside deviation , to make a quick decision on whether QUEEN S's historical price patterns will revert.
Auto-correlation | 0.25 |
Poor predictability
QUEEN S ROAD has poor predictability. Overlapping area represents the amount of predictability between QUEEN S time series from 7th of December 2022 to 2nd of December 2023 and 2nd of December 2023 to 26th 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 QUEEN S ROAD price movement. The serial correlation of 0.25 indicates that over 25.0% of current QUEEN S price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.25 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
QUEEN S ROAD lagged returns against current returns
Autocorrelation, which is QUEEN S stock'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 QUEEN S's stock expected returns. We can calculate the autocorrelation of QUEEN S returns to help us make a trade decision. For example, suppose you find that QUEEN S has exhibited high autocorrelation historically, and you observe that the stock 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 |
QUEEN S 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 QUEEN S stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if QUEEN S stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in QUEEN S stock over time.
Current vs Lagged Prices |
| Timeline |
QUEEN S Lagged Returns
When evaluating QUEEN S's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of QUEEN S stock have on its future price. QUEEN S 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, QUEEN S autocorrelation shows the relationship between QUEEN S stock current value and its past values and can show if there is a momentum factor associated with investing in QUEEN S ROAD.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in QUEEN Stock
QUEEN S financial ratios help investors to determine whether QUEEN Stock 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 QUEEN with respect to the benefits of owning QUEEN S security.