Service Textile (Pakistan) Market Value
| SERT Stock | 39.94 0.67 1.71% |
| Symbol | Service |
Service Textile '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 Service Textile'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 Service Textile.
| 12/20/2025 |
| 01/19/2026 |
If you would invest 0.00 in Service Textile on December 20, 2025 and sell it all today you would earn a total of 0.00 from holding Service Textile or generate 0.0% return on investment in Service Textile over 30 days.
Service Textile 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 Service Textile'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 Service Textile upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.06 | |||
| Information Ratio | 0.0079 | |||
| Maximum Drawdown | 20.01 | |||
| Value At Risk | (10.00) | |||
| Potential Upside | 10.01 |
Service Textile Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Service Textile's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Service Textile's standard deviation. In reality, there are many statistical measures that can use Service Textile historical prices to predict the future Service Textile's volatility.| Risk Adjusted Performance | 0.0257 | |||
| Jensen Alpha | 0.1162 | |||
| Total Risk Alpha | (0.66) | |||
| Sortino Ratio | 0.0096 | |||
| Treynor Ratio | 0.5536 |
Service Textile Backtested Returns
Service Textile owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0836, which indicates the firm had a -0.0836 % return per unit of risk over the last 3 months. Service Textile exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Service Textile's Semi Deviation of 4.86, risk adjusted performance of 0.0257, and Coefficient Of Variation of 4124.36 to confirm the risk estimate we provide. The entity has a beta of 0.25, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Service Textile's returns are expected to increase less than the market. However, during the bear market, the loss of holding Service Textile is expected to be smaller as well. At this point, Service Textile has a negative expected return of -0.48%. Please make sure to validate Service Textile's maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk , to decide if Service Textile performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.23 |
Weak reverse predictability
Service Textile has weak reverse predictability. Overlapping area represents the amount of predictability between Service Textile time series from 20th of December 2025 to 4th of January 2026 and 4th of January 2026 to 19th 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 Service Textile price movement. The serial correlation of -0.23 indicates that over 23.0% of current Service Textile price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | 0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 18.96 |
Service Textile lagged returns against current returns
Autocorrelation, which is Service Textile 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 Service Textile's stock expected returns. We can calculate the autocorrelation of Service Textile returns to help us make a trade decision. For example, suppose you find that Service Textile 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 |
Service Textile 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 Service Textile stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Service Textile stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Service Textile stock over time.
Current vs Lagged Prices |
| Timeline |
Service Textile Lagged Returns
When evaluating Service Textile's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Service Textile stock have on its future price. Service Textile 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, Service Textile autocorrelation shows the relationship between Service Textile stock current value and its past values and can show if there is a momentum factor associated with investing in Service Textile.
Regressed Prices |
| Timeline |
Pair Trading with Service Textile
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 Service Textile 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 Service Textile will appreciate offsetting losses from the drop in the long position's value.Moving against Service Stock
| 0.64 | FRCL | Frontier Ceramics | PairCorr |
| 0.53 | BAFS | Baba Farid Sugar | PairCorr |
| 0.53 | FNEL | First National Equities | PairCorr |
| 0.52 | BECO | Beco Steel Split | PairCorr |
| 0.49 | KML | Kohinoor Mills | PairCorr |
The ability to find closely correlated positions to Service Textile could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Service Textile 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 Service Textile - 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 Service Textile to buy it.
The correlation of Service Textile 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 Service Textile moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Service Textile 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 Service Textile 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.