Correlation Between JPMorgan Chase and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both JPMorgan Chase and Samsung Electronics 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 JPMorgan Chase and Samsung Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JPMorgan Chase Co and Samsung Electronics Co, you can compare the effects of market volatilities on JPMorgan Chase and Samsung Electronics 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 JPMorgan Chase with a short position of Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of JPMorgan Chase and Samsung Electronics.
Diversification Opportunities for JPMorgan Chase and Samsung Electronics
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between JPMorgan and Samsung is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding JPMorgan Chase Co and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics and JPMorgan Chase 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 JPMorgan Chase Co are associated (or correlated) with Samsung Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Electronics has no effect on the direction of JPMorgan Chase i.e., JPMorgan Chase and Samsung Electronics go up and down completely randomly.
Pair Corralation between JPMorgan Chase and Samsung Electronics
Assuming the 90 days trading horizon JPMorgan Chase Co is expected to generate 0.87 times more return on investment than Samsung Electronics. However, JPMorgan Chase Co is 1.15 times less risky than Samsung Electronics. It trades about 0.17 of its potential returns per unit of risk. Samsung Electronics Co is currently generating about -0.19 per unit of risk. If you would invest 398,412 in JPMorgan Chase Co on September 12, 2024 and sell it today you would earn a total of 91,288 from holding JPMorgan Chase Co or generate 22.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.39% |
Values | Daily Returns |
JPMorgan Chase Co vs. Samsung Electronics Co
Performance |
Timeline |
JPMorgan Chase |
Samsung Electronics |
JPMorgan Chase and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JPMorgan Chase and Samsung Electronics
The main advantage of trading using opposite JPMorgan Chase and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JPMorgan Chase position performs unexpectedly, Samsung Electronics 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 Samsung Electronics will offset losses from the drop in Samsung Electronics' long position.JPMorgan Chase vs. Verizon Communications | JPMorgan Chase vs. Samsung Electronics Co | JPMorgan Chase vs. Applied Materials | JPMorgan Chase vs. Prudential Financial |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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