Correlation Between Samsung Electronics and PJ Electronics
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and PJ 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 Samsung Electronics and PJ Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Electronics Co and PJ Electronics Co, you can compare the effects of market volatilities on Samsung Electronics and PJ 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 Samsung Electronics with a short position of PJ Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and PJ Electronics.
Diversification Opportunities for Samsung Electronics and PJ Electronics
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Samsung and 006140 is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and PJ Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PJ Electronics and Samsung Electronics 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 Samsung Electronics Co are associated (or correlated) with PJ Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PJ Electronics has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and PJ Electronics go up and down completely randomly.
Pair Corralation between Samsung Electronics and PJ Electronics
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the PJ Electronics. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 2.15 times less risky than PJ Electronics. The stock trades about -0.02 of its potential returns per unit of risk. The PJ Electronics Co is currently generating about 0.37 of returns per unit of risk over similar time horizon. If you would invest 441,092 in PJ Electronics Co on October 24, 2024 and sell it today you would earn a total of 100,908 from holding PJ Electronics Co or generate 22.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. PJ Electronics Co
Performance |
Timeline |
Samsung Electronics |
PJ Electronics |
Samsung Electronics and PJ Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and PJ Electronics
The main advantage of trading using opposite Samsung Electronics and PJ Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, PJ 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 PJ Electronics will offset losses from the drop in PJ Electronics' long position.Samsung Electronics vs. SK Chemicals Co | Samsung Electronics vs. Yura Tech Co | Samsung Electronics vs. LG Chemicals | Samsung Electronics vs. Hannong Chemicals |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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