Correlation Between JS Investments and Roshan Packages
Can any of the company-specific risk be diversified away by investing in both JS Investments and Roshan Packages at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining JS Investments and Roshan Packages into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JS Investments and Roshan Packages, you can compare the effects of market volatilities on JS Investments and Roshan Packages and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in JS Investments with a short position of Roshan Packages. Check out your portfolio center. Please also check ongoing floating volatility patterns of JS Investments and Roshan Packages.
Diversification Opportunities for JS Investments and Roshan Packages
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between JSIL and Roshan is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding JS Investments and Roshan Packages in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Roshan Packages and JS Investments is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on JS Investments are associated (or correlated) with Roshan Packages. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Roshan Packages has no effect on the direction of JS Investments i.e., JS Investments and Roshan Packages go up and down completely randomly.
Pair Corralation between JS Investments and Roshan Packages
Assuming the 90 days trading horizon JS Investments is expected to generate 1.74 times more return on investment than Roshan Packages. However, JS Investments is 1.74 times more volatile than Roshan Packages. It trades about -0.04 of its potential returns per unit of risk. Roshan Packages is currently generating about -0.11 per unit of risk. If you would invest 2,472 in JS Investments on December 22, 2024 and sell it today you would lose (278.00) from holding JS Investments or give up 11.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 93.55% |
Values | Daily Returns |
JS Investments vs. Roshan Packages
Performance |
Timeline |
JS Investments |
Roshan Packages |
JS Investments and Roshan Packages Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JS Investments and Roshan Packages
The main advantage of trading using opposite JS Investments and Roshan Packages positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JS Investments position performs unexpectedly, Roshan Packages 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 Roshan Packages will offset losses from the drop in Roshan Packages' long position.JS Investments vs. MCB Bank | JS Investments vs. Invest Capital Investment | JS Investments vs. Reliance Insurance Co | JS Investments vs. Al Khair Gadoon Limited |
Roshan Packages vs. Bank of Punjab | Roshan Packages vs. Pakistan Telecommunication | Roshan Packages vs. Fauji Foods | Roshan Packages vs. Quice Food Industries |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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