Correlation Between Shinhan Inverse and Korea Information
Can any of the company-specific risk be diversified away by investing in both Shinhan Inverse and Korea Information 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 Korea Information 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 Korea Information Communications, you can compare the effects of market volatilities on Shinhan Inverse and Korea Information 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 Korea Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shinhan Inverse and Korea Information.
Diversification Opportunities for Shinhan Inverse and Korea Information
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Shinhan and Korea is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Shinhan Inverse Copper and Korea Information Communicatio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Information 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 Korea Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Information has no effect on the direction of Shinhan Inverse i.e., Shinhan Inverse and Korea Information go up and down completely randomly.
Pair Corralation between Shinhan Inverse and Korea Information
Assuming the 90 days trading horizon Shinhan Inverse Copper is expected to generate 0.56 times more return on investment than Korea Information. However, Shinhan Inverse Copper is 1.77 times less risky than Korea Information. It trades about 0.14 of its potential returns per unit of risk. Korea Information Communications is currently generating about -0.12 per unit of risk. If you would invest 559,000 in Shinhan Inverse Copper on September 22, 2024 and sell it today you would earn a total of 13,500 from holding Shinhan Inverse Copper or generate 2.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 90.91% |
Values | Daily Returns |
Shinhan Inverse Copper vs. Korea Information Communicatio
Performance |
Timeline |
Shinhan Inverse Copper |
Korea Information |
Shinhan Inverse and Korea Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shinhan Inverse and Korea Information
The main advantage of trading using opposite Shinhan Inverse and Korea Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shinhan Inverse position performs unexpectedly, Korea Information 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 Korea Information will offset losses from the drop in Korea Information's long position.Shinhan Inverse vs. AptaBio Therapeutics | Shinhan Inverse vs. Wonbang Tech Co | Shinhan Inverse vs. Busan Industrial Co | Shinhan Inverse vs. Busan Ind |
Korea Information vs. Shinhan Inverse Copper | Korea Information vs. CKH Food Health | Korea Information vs. Dongil Metal Co | Korea Information vs. INFINITT Healthcare Co |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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