Correlation Between Shinhan Inverse and Wave Electronics
Can any of the company-specific risk be diversified away by investing in both Shinhan Inverse 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 Shinhan Inverse and Wave Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shinhan Inverse Copper and Wave Electronics Co, you can compare the effects of market volatilities on Shinhan Inverse 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 Shinhan Inverse with a short position of Wave Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shinhan Inverse and Wave Electronics.
Diversification Opportunities for Shinhan Inverse and Wave Electronics
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Shinhan and Wave is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Shinhan Inverse Copper and Wave Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wave Electronics and Shinhan Inverse 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 Shinhan Inverse Copper 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 Shinhan Inverse i.e., Shinhan Inverse and Wave Electronics go up and down completely randomly.
Pair Corralation between Shinhan Inverse and Wave Electronics
Assuming the 90 days trading horizon Shinhan Inverse is expected to generate 4.75 times less return on investment than Wave Electronics. But when comparing it to its historical volatility, Shinhan Inverse Copper is 1.67 times less risky than Wave Electronics. It trades about 0.14 of its potential returns per unit of risk. Wave Electronics Co is currently generating about 0.4 of returns per unit of risk over similar time horizon. If you would invest 339,500 in Wave Electronics Co on October 10, 2024 and sell it today you would earn a total of 50,500 from holding Wave Electronics Co or generate 14.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 90.0% |
Values | Daily Returns |
Shinhan Inverse Copper vs. Wave Electronics Co
Performance |
Timeline |
Shinhan Inverse Copper |
Wave Electronics |
Shinhan Inverse and Wave Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shinhan Inverse and Wave Electronics
The main advantage of trading using opposite Shinhan Inverse and Wave Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shinhan Inverse 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.Shinhan Inverse vs. LG Display Co | Shinhan Inverse vs. DB Insurance Co | Shinhan Inverse vs. System and Application | Shinhan Inverse vs. Iljin Display |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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