Quest For (Belgium) Market Value
| QFG Stock | EUR 3.87 0.04 1.04% |
| Symbol | Quest |
Quest For '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 Quest For'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 Quest For.
| 12/29/2022 |
| 12/18/2024 |
If you would invest 0.00 in Quest For on December 29, 2022 and sell it all today you would earn a total of 0.00 from holding Quest For Growth or generate 0.0% return on investment in Quest For over 720 days. Quest For is related to or competes with Brederode, GIMV NV, Ackermans Van, Groep Brussel, and Sofina Socit. Quest for Growth Belgium is a mutual fund launched and managed by Quest Management NV More
Quest For 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 Quest For'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 Quest For Growth upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.24) | |||
| Maximum Drawdown | 6.59 | |||
| Value At Risk | (1.70) | |||
| Potential Upside | 1.53 |
Quest For Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quest For's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quest For's standard deviation. In reality, there are many statistical measures that can use Quest For historical prices to predict the future Quest For's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.28) | |||
| Treynor Ratio | (4.21) |
Quest For Growth Backtested Returns
Quest For Growth maintains Sharpe Ratio (i.e., Efficiency) of -0.21, which implies the firm had a -0.21% return per unit of risk over the last 3 months. Quest For Growth exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Quest For's Variance of 1.16, risk adjusted performance of (0.12), and Coefficient Of Variation of (572.05) to confirm the risk estimate we provide. The company holds a Beta of 0.0471, which implies not very significant fluctuations relative to the market. As returns on the market increase, Quest For's returns are expected to increase less than the market. However, during the bear market, the loss of holding Quest For is expected to be smaller as well. At this point, Quest For Growth has a negative expected return of -0.22%. Please make sure to check Quest For's standard deviation, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to decide if Quest For Growth performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.78 |
Good predictability
Quest For Growth has good predictability. Overlapping area represents the amount of predictability between Quest For time series from 29th of December 2022 to 24th of December 2023 and 24th of December 2023 to 18th of December 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 Quest For Growth price movement. The serial correlation of 0.78 indicates that around 78.0% of current Quest For price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.78 | |
| Spearman Rank Test | 0.87 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Quest For Growth lagged returns against current returns
Autocorrelation, which is Quest For 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 Quest For's stock expected returns. We can calculate the autocorrelation of Quest For returns to help us make a trade decision. For example, suppose you find that Quest For 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 |
Quest For 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 Quest For stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quest For stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quest For stock over time.
Current vs Lagged Prices |
| Timeline |
Quest For Lagged Returns
When evaluating Quest For's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quest For stock have on its future price. Quest For 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, Quest For autocorrelation shows the relationship between Quest For stock current value and its past values and can show if there is a momentum factor associated with investing in Quest For Growth.
Regressed Prices |
| Timeline |
Pair Trading with Quest For
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 Quest For 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 Quest For will appreciate offsetting losses from the drop in the long position's value.Moving together with Quest Stock
| 0.82 | GBLB | Groep Brussel Lambert | PairCorr |
| 0.89 | SOF | Sofina Socit Anonyme | PairCorr |
| 0.81 | BREB | Brederode SA | PairCorr |
Moving against Quest Stock
The ability to find closely correlated positions to Quest For could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Quest For 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 Quest For - 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 Quest For Growth to buy it.
The correlation of Quest For 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 Quest For moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Quest For Growth 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 Quest For 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.Additional Tools for Quest Stock Analysis
When running Quest For's price analysis, check to measure Quest For's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Quest For is operating at the current time. Most of Quest For's value examination focuses on studying past and present price action to predict the probability of Quest For's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quest For's price. Additionally, you may evaluate how the addition of Quest For to your portfolios can decrease your overall portfolio volatility.