Correlation Between Samsung Electronics and Wonik Ips
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Wonik Ips 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 Wonik Ips 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 Wonik Ips Co, you can compare the effects of market volatilities on Samsung Electronics and Wonik Ips 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 Wonik Ips. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Wonik Ips.
Diversification Opportunities for Samsung Electronics and Wonik Ips
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Samsung and Wonik is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Wonik Ips Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wonik Ips 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 Wonik Ips. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wonik Ips has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Wonik Ips go up and down completely randomly.
Pair Corralation between Samsung Electronics and Wonik Ips
Assuming the 90 days trading horizon Samsung Electronics is expected to generate 4.95 times less return on investment than Wonik Ips. But when comparing it to its historical volatility, Samsung Electronics Co is 1.52 times less risky than Wonik Ips. It trades about 0.01 of its potential returns per unit of risk. Wonik Ips Co is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 2,400,000 in Wonik Ips Co on December 10, 2024 and sell it today you would earn a total of 35,000 from holding Wonik Ips Co or generate 1.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Wonik Ips Co
Performance |
Timeline |
Samsung Electronics |
Wonik Ips |
Samsung Electronics and Wonik Ips Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Wonik Ips
The main advantage of trading using opposite Samsung Electronics and Wonik Ips positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Wonik Ips 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 Wonik Ips will offset losses from the drop in Wonik Ips' long position.Samsung Electronics vs. Dongbu Insurance Co | Samsung Electronics vs. Phoenix Materials Co | Samsung Electronics vs. INNOX Advanced Materials | Samsung Electronics vs. Lotte Energy Materials |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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