QUEEN S (Germany) Market Value
| 47U Stock | EUR 4.55 0.04 0.87% |
| 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.
| 01/28/2025 |
| 02/27/2025 |
If you would invest 0.00 in QUEEN S on January 28, 2025 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 30 days. QUEEN S is related to or competes with Ultra Clean, ALEFARM BREWING, OFFICE DEPOT, and CITY OFFICE. 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.
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 26.26 | |||
| Value At Risk | (4.49) | |||
| Potential Upside | 5.97 |
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 | 2.0E-4 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | 0.1832 |
QUEEN S ROAD Backtested Returns
QUEEN S ROAD maintains Sharpe Ratio (i.e., Efficiency) of -0.0179, which implies the firm had a -0.0179 % return per unit of volatility over the last 3 months. QUEEN S ROAD exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check QUEEN S's risk adjusted performance of 2.0E-4, and Coefficient Of Variation of (9,527) to confirm the risk estimate we provide. The company holds a Beta of -0.26, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning QUEEN S are expected to decrease at a much lower rate. During the bear market, QUEEN S is likely to outperform the market. At this point, QUEEN S ROAD has a negative expected return of -0.0663%. Please make sure to check QUEEN S's market risk adjusted performance, coefficient of variation, information ratio, as well as the relationship between the mean deviation and standard deviation , to decide if QUEEN S ROAD performance from the past will be repeated at future time.
Auto-correlation | -0.42 |
Modest reverse predictability
QUEEN S ROAD has modest reverse predictability. Overlapping area represents the amount of predictability between QUEEN S time series from 28th of January 2025 to 12th of February 2025 and 12th of February 2025 to 27th of February 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 QUEEN S ROAD price movement. The serial correlation of -0.42 indicates that just about 42.0% of current QUEEN S price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.42 | |
| Spearman Rank Test | -0.81 | |
| 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.