Correlation Between Daedong Metals and Shinhan Inverse
Can any of the company-specific risk be diversified away by investing in both Daedong Metals and Shinhan Inverse 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 Daedong Metals and Shinhan Inverse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daedong Metals Co and Shinhan Inverse Silver, you can compare the effects of market volatilities on Daedong Metals and Shinhan Inverse 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 Daedong Metals with a short position of Shinhan Inverse. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daedong Metals and Shinhan Inverse.
Diversification Opportunities for Daedong Metals and Shinhan Inverse
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Daedong and Shinhan is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Daedong Metals Co and Shinhan Inverse Silver in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shinhan Inverse Silver and Daedong Metals 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 Daedong Metals Co are associated (or correlated) with Shinhan Inverse. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shinhan Inverse Silver has no effect on the direction of Daedong Metals i.e., Daedong Metals and Shinhan Inverse go up and down completely randomly.
Pair Corralation between Daedong Metals and Shinhan Inverse
Assuming the 90 days trading horizon Daedong Metals Co is expected to generate 2.23 times more return on investment than Shinhan Inverse. However, Daedong Metals is 2.23 times more volatile than Shinhan Inverse Silver. It trades about 0.0 of its potential returns per unit of risk. Shinhan Inverse Silver is currently generating about -0.03 per unit of risk. If you would invest 932,789 in Daedong Metals Co on September 12, 2024 and sell it today you would lose (189,789) from holding Daedong Metals Co or give up 20.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 97.94% |
Values | Daily Returns |
Daedong Metals Co vs. Shinhan Inverse Silver
Performance |
Timeline |
Daedong Metals |
Shinhan Inverse Silver |
Daedong Metals and Shinhan Inverse Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daedong Metals and Shinhan Inverse
The main advantage of trading using opposite Daedong Metals and Shinhan Inverse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daedong Metals position performs unexpectedly, Shinhan Inverse 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 Shinhan Inverse will offset losses from the drop in Shinhan Inverse's long position.Daedong Metals vs. Ecocab Co | Daedong Metals vs. Daedong Gear Co | Daedong Metals vs. Solution Advanced Technology | Daedong Metals vs. Busan Industrial Co |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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