JS Bank (Pakistan) Market Value
| JSBL Stock | 9.02 0.33 3.53% |
| Symbol | JSBL |
JS Bank '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 JS Bank'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 JS Bank.
| 11/08/2024 |
| 01/07/2025 |
If you would invest 0.00 in JS Bank on November 8, 2024 and sell it all today you would earn a total of 0.00 from holding JS Bank or generate 0.0% return on investment in JS Bank over 60 days. JS Bank is related to or competes with Orient Rental, Wah Nobel, Packages, and Invest Capital. More
JS Bank 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 JS Bank'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 JS Bank upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.33 | |||
| Information Ratio | 0.0382 | |||
| Maximum Drawdown | 12.97 | |||
| Value At Risk | (3.53) | |||
| Potential Upside | 5.6 |
JS Bank Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JS Bank's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JS Bank's standard deviation. In reality, there are many statistical measures that can use JS Bank historical prices to predict the future JS Bank's volatility.| Risk Adjusted Performance | 0.0466 | |||
| Jensen Alpha | 0.1125 | |||
| Total Risk Alpha | 0.0589 | |||
| Sortino Ratio | 0.0421 | |||
| Treynor Ratio | 0.5815 |
JS Bank Backtested Returns
At this point, JS Bank is somewhat reliable. JS Bank retains Efficiency (Sharpe Ratio) of 0.0492, which attests that the entity had a 0.0492% return per unit of price deviation over the last 3 months. We have found twenty-nine technical indicators for JS Bank, which you can use to evaluate the volatility of the firm. Please check out JS Bank's Standard Deviation of 2.56, market risk adjusted performance of 0.5915, and Semi Deviation of 2.07 to validate if the risk estimate we provide is consistent with the expected return of 0.13%. JS Bank has a performance score of 3 on a scale of 0 to 100. The company owns a Beta (Systematic Risk) of 0.2, which attests to not very significant fluctuations relative to the market. As returns on the market increase, JS Bank's returns are expected to increase less than the market. However, during the bear market, the loss of holding JS Bank is expected to be smaller as well. JS Bank today owns a risk of 2.56%. Please check out JS Bank mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation , to decide if JS Bank will be following its current price history.
Auto-correlation | 0.22 |
Weak predictability
JS Bank has weak predictability. Overlapping area represents the amount of predictability between JS Bank time series from 8th of November 2024 to 8th of December 2024 and 8th of December 2024 to 7th of January 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 JS Bank price movement. The serial correlation of 0.22 indicates that over 22.0% of current JS Bank price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.22 | |
| Spearman Rank Test | -0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
JS Bank lagged returns against current returns
Autocorrelation, which is JS Bank 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 JS Bank's stock expected returns. We can calculate the autocorrelation of JS Bank returns to help us make a trade decision. For example, suppose you find that JS Bank 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 |
JS Bank 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 JS Bank stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JS Bank stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JS Bank stock over time.
Current vs Lagged Prices |
| Timeline |
JS Bank Lagged Returns
When evaluating JS Bank's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JS Bank stock have on its future price. JS Bank 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, JS Bank autocorrelation shows the relationship between JS Bank stock current value and its past values and can show if there is a momentum factor associated with investing in JS Bank.
Regressed Prices |
| Timeline |
Pair Trading with JS Bank
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 JS Bank 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 JS Bank will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to JS Bank could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace JS Bank 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 JS Bank - 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 JS Bank to buy it.
The correlation of JS Bank 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 JS Bank moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if JS Bank 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 JS Bank 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.Other Information on Investing in JSBL Stock
JS Bank financial ratios help investors to determine whether JSBL 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 JSBL with respect to the benefits of owning JS Bank security.