Correlation Between Shinsegae Food and Korea Ratings
Can any of the company-specific risk be diversified away by investing in both Shinsegae Food and Korea Ratings 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 Shinsegae Food and Korea Ratings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shinsegae Food and Korea Ratings Co, you can compare the effects of market volatilities on Shinsegae Food and Korea Ratings 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 Shinsegae Food with a short position of Korea Ratings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shinsegae Food and Korea Ratings.
Diversification Opportunities for Shinsegae Food and Korea Ratings
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Shinsegae and Korea is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Shinsegae Food and Korea Ratings Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Ratings and Shinsegae Food 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 Shinsegae Food are associated (or correlated) with Korea Ratings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Ratings has no effect on the direction of Shinsegae Food i.e., Shinsegae Food and Korea Ratings go up and down completely randomly.
Pair Corralation between Shinsegae Food and Korea Ratings
Assuming the 90 days trading horizon Shinsegae Food is expected to under-perform the Korea Ratings. In addition to that, Shinsegae Food is 2.33 times more volatile than Korea Ratings Co. It trades about -0.12 of its total potential returns per unit of risk. Korea Ratings Co is currently generating about 0.1 per unit of volatility. If you would invest 8,510,000 in Korea Ratings Co on September 13, 2024 and sell it today you would earn a total of 310,000 from holding Korea Ratings Co or generate 3.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Shinsegae Food vs. Korea Ratings Co
Performance |
Timeline |
Shinsegae Food |
Korea Ratings |
Shinsegae Food and Korea Ratings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shinsegae Food and Korea Ratings
The main advantage of trading using opposite Shinsegae Food and Korea Ratings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shinsegae Food position performs unexpectedly, Korea Ratings 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 Ratings will offset losses from the drop in Korea Ratings' long position.Shinsegae Food vs. Daou Data Corp | Shinsegae Food vs. Solution Advanced Technology | Shinsegae Food vs. Busan Industrial Co | Shinsegae Food vs. Busan Ind |
Korea Ratings vs. Haesung Industrial Co | Korea Ratings vs. Korean Drug Co | Korea Ratings vs. Seoyon Topmetal Co | Korea Ratings vs. Sewoon Medical 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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