Q Interline (Denmark) Market Value
| QINTER Stock | 3.00 0.04 1.32% |
| Symbol | QINTER |
Q Interline '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 Q Interline'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 Q Interline.
| 06/09/2024 |
| 12/31/2025 |
If you would invest 0.00 in Q Interline on June 9, 2024 and sell it all today you would earn a total of 0.00 from holding Q Interline AS or generate 0.0% return on investment in Q Interline over 570 days.
Q Interline 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 Q Interline'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 Q Interline AS upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 32.84 | |||
| Value At Risk | (8.77) | |||
| Potential Upside | 9.95 |
Q Interline Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Q Interline's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Q Interline's standard deviation. In reality, there are many statistical measures that can use Q Interline historical prices to predict the future Q Interline's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.63) | |||
| Total Risk Alpha | (1.00) | |||
| Treynor Ratio | (0.25) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Q Interline'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.
Q Interline AS Backtested Returns
Q Interline AS maintains Sharpe Ratio (i.e., Efficiency) of -0.0783, which implies the company had a -0.0783 % return per unit of volatility over the last 3 months. Q Interline AS exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Q Interline's variance of 33.4, and Market Risk Adjusted Performance of (0.24) to confirm the risk estimate we provide. The firm holds a Beta of 2.04, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Q Interline will likely underperform. At this point, Q Interline AS has a negative expected return of -0.46%. Please make sure to check Q Interline's accumulation distribution, and the relationship between the value at risk and day typical price , to decide if Q Interline AS performance from the past will be repeated sooner or later.
Auto-correlation | 0.06 |
Virtually no predictability
Q Interline AS has virtually no predictability. Overlapping area represents the amount of predictability between Q Interline time series from 9th of June 2024 to 21st of March 2025 and 21st of March 2025 to 31st of December 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 Q Interline AS price movement. The serial correlation of 0.06 indicates that barely 6.0% of current Q Interline price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.06 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.84 |
Q Interline AS lagged returns against current returns
Autocorrelation, which is Q Interline 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 Q Interline's stock expected returns. We can calculate the autocorrelation of Q Interline returns to help us make a trade decision. For example, suppose you find that Q Interline 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 |
Q Interline 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 Q Interline stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Q Interline stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Q Interline stock over time.
Current vs Lagged Prices |
| Timeline |
Q Interline Lagged Returns
When evaluating Q Interline's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Q Interline stock have on its future price. Q Interline 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, Q Interline autocorrelation shows the relationship between Q Interline stock current value and its past values and can show if there is a momentum factor associated with investing in Q Interline AS.
Regressed Prices |
| Timeline |
Pair Trading with Q Interline
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Q Interline position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Q Interline will appreciate offsetting losses from the drop in the long position's value.Moving together with QINTER Stock
Moving against QINTER Stock
| 0.85 | MMINO | Multi Manager Invest | PairCorr |
| 0.82 | VJBA | Vestjysk Bank AS | PairCorr |
| 0.82 | ALK-B | ALK Abell AS | PairCorr |
| 0.8 | PRIMOF | Prime Office AS | PairCorr |
| 0.77 | NKT | NKT AS | PairCorr |
The ability to find closely correlated positions to Q Interline could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Q Interline when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Q Interline - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Q Interline AS to buy it.
The correlation of Q Interline is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Q Interline moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Q Interline AS moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Q Interline can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.