Correlation Between JPM INDIAN and SSC Technologies
Can any of the company-specific risk be diversified away by investing in both JPM INDIAN and SSC Technologies 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 JPM INDIAN and SSC Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JPM INDIAN INVT and SSC Technologies Holdings, you can compare the effects of market volatilities on JPM INDIAN and SSC Technologies 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 JPM INDIAN with a short position of SSC Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPM INDIAN and SSC Technologies.
Diversification Opportunities for JPM INDIAN and SSC Technologies
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between JPM and SSC is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding JPM INDIAN INVT and SSC Technologies Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SSC Technologies Holdings and JPM INDIAN 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 JPM INDIAN INVT are associated (or correlated) with SSC Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SSC Technologies Holdings has no effect on the direction of JPM INDIAN i.e., JPM INDIAN and SSC Technologies go up and down completely randomly.
Pair Corralation between JPM INDIAN and SSC Technologies
Assuming the 90 days horizon JPM INDIAN is expected to generate 1.14 times less return on investment than SSC Technologies. In addition to that, JPM INDIAN is 1.31 times more volatile than SSC Technologies Holdings. It trades about 0.1 of its total potential returns per unit of risk. SSC Technologies Holdings is currently generating about 0.15 per unit of volatility. If you would invest 6,272 in SSC Technologies Holdings on April 21, 2025 and sell it today you would earn a total of 878.00 from holding SSC Technologies Holdings or generate 14.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
JPM INDIAN INVT vs. SSC Technologies Holdings
Performance |
Timeline |
JPM INDIAN INVT |
Risk-Adjusted Performance
OK
Weak | Strong |
SSC Technologies Holdings |
JPM INDIAN and SSC Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JPM INDIAN and SSC Technologies
The main advantage of trading using opposite JPM INDIAN and SSC Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPM INDIAN position performs unexpectedly, SSC Technologies 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 SSC Technologies will offset losses from the drop in SSC Technologies' long position.JPM INDIAN vs. MAGIC SOFTWARE ENTR | JPM INDIAN vs. Easy Software AG | JPM INDIAN vs. Magic Software Enterprises | JPM INDIAN vs. BioNTech SE |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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