Quantum Data (Pakistan) Market Value
| QTECH Stock | 39.53 2.29 5.48% |
| Symbol | Quantum |
Quantum Data '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 Quantum Data'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 Quantum Data.
| 01/27/2024 |
| 01/16/2026 |
If you would invest 0.00 in Quantum Data on January 27, 2024 and sell it all today you would earn a total of 0.00 from holding Quantum Data or generate 0.0% return on investment in Quantum Data over 720 days.
Quantum Data 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 Quantum Data'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 Quantum Data upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.95) | |||
| Maximum Drawdown | 4.96 | |||
| Value At Risk | (5.48) | |||
| Potential Upside | 1.61 |
Quantum Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quantum Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quantum Data's standard deviation. In reality, there are many statistical measures that can use Quantum Data historical prices to predict the future Quantum Data's volatility.| Risk Adjusted Performance | (0.61) | |||
| Jensen Alpha | (1.92) | |||
| Total Risk Alpha | (2.20) | |||
| Treynor Ratio | (6.75) |
Quantum Data Backtested Returns
Quantum Data maintains Sharpe Ratio (i.e., Efficiency) of -0.9, which implies the firm had a -0.9 % return per unit of risk over the last 3 months. Quantum Data exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Quantum Data's Coefficient Of Variation of (111.64), variance of 4.42, and Risk Adjusted Performance of (0.61) to confirm the risk estimate we provide. The company holds a Beta of 0.28, which implies not very significant fluctuations relative to the market. As returns on the market increase, Quantum Data's returns are expected to increase less than the market. However, during the bear market, the loss of holding Quantum Data is expected to be smaller as well. At this point, Quantum Data has a negative expected return of -1.88%. Please make sure to check Quantum Data's information ratio, skewness, day typical price, as well as the relationship between the treynor ratio and daily balance of power , to decide if Quantum Data performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.00 |
No correlation between past and present
Quantum Data has no correlation between past and present. Overlapping area represents the amount of predictability between Quantum Data time series from 27th of January 2024 to 21st of January 2025 and 21st of January 2025 to 16th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Quantum Data price movement. The serial correlation of 0.0 indicates that just 0.0% of current Quantum Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Quantum Data lagged returns against current returns
Autocorrelation, which is Quantum Data 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 Quantum Data's stock expected returns. We can calculate the autocorrelation of Quantum Data returns to help us make a trade decision. For example, suppose you find that Quantum Data 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 |
Quantum Data 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 Quantum Data stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quantum Data stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quantum Data stock over time.
Current vs Lagged Prices |
| Timeline |
Quantum Data Lagged Returns
When evaluating Quantum Data's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quantum Data stock have on its future price. Quantum Data 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, Quantum Data autocorrelation shows the relationship between Quantum Data stock current value and its past values and can show if there is a momentum factor associated with investing in Quantum Data.
Regressed Prices |
| Timeline |
Pair Trading with Quantum Data
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 Quantum Data 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 Quantum Data will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Quantum Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Quantum Data 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 Quantum Data - 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 Quantum Data to buy it.
The correlation of Quantum Data 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 Quantum Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Quantum Data 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 Quantum Data 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.