Correlation Between Seojin Automotive and Wave Electronics
Can any of the company-specific risk be diversified away by investing in both Seojin Automotive and Wave 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 Seojin Automotive and Wave Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Seojin Automotive CoLtd and Wave Electronics Co, you can compare the effects of market volatilities on Seojin Automotive and Wave 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 Seojin Automotive with a short position of Wave Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Seojin Automotive and Wave Electronics.
Diversification Opportunities for Seojin Automotive and Wave Electronics
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Seojin and Wave is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Seojin Automotive CoLtd and Wave Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wave Electronics and Seojin Automotive 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 Seojin Automotive CoLtd are associated (or correlated) with Wave Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wave Electronics has no effect on the direction of Seojin Automotive i.e., Seojin Automotive and Wave Electronics go up and down completely randomly.
Pair Corralation between Seojin Automotive and Wave Electronics
Assuming the 90 days trading horizon Seojin Automotive CoLtd is expected to generate 0.56 times more return on investment than Wave Electronics. However, Seojin Automotive CoLtd is 1.8 times less risky than Wave Electronics. It trades about -0.2 of its potential returns per unit of risk. Wave Electronics Co is currently generating about -0.13 per unit of risk. If you would invest 241,000 in Seojin Automotive CoLtd on September 4, 2024 and sell it today you would lose (43,200) from holding Seojin Automotive CoLtd or give up 17.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Seojin Automotive CoLtd vs. Wave Electronics Co
Performance |
Timeline |
Seojin Automotive CoLtd |
Wave Electronics |
Seojin Automotive and Wave Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Seojin Automotive and Wave Electronics
The main advantage of trading using opposite Seojin Automotive and Wave Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Seojin Automotive position performs unexpectedly, Wave 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 Wave Electronics will offset losses from the drop in Wave Electronics' long position.Seojin Automotive vs. Korea Real Estate | Seojin Automotive vs. Busan Industrial Co | Seojin Automotive vs. UNISEM Co | Seojin Automotive vs. RPBio Inc |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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