Correlation Between Heungkuk Metaltech and Seoul Food
Can any of the company-specific risk be diversified away by investing in both Heungkuk Metaltech and Seoul Food 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 Heungkuk Metaltech and Seoul Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Heungkuk Metaltech CoLtd and Seoul Food Industrial, you can compare the effects of market volatilities on Heungkuk Metaltech and Seoul Food 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 Heungkuk Metaltech with a short position of Seoul Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Heungkuk Metaltech and Seoul Food.
Diversification Opportunities for Heungkuk Metaltech and Seoul Food
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Heungkuk and Seoul is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Heungkuk Metaltech CoLtd and Seoul Food Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Seoul Food Industrial and Heungkuk Metaltech 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 Heungkuk Metaltech CoLtd are associated (or correlated) with Seoul Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Seoul Food Industrial has no effect on the direction of Heungkuk Metaltech i.e., Heungkuk Metaltech and Seoul Food go up and down completely randomly.
Pair Corralation between Heungkuk Metaltech and Seoul Food
Assuming the 90 days trading horizon Heungkuk Metaltech CoLtd is expected to generate 1.48 times more return on investment than Seoul Food. However, Heungkuk Metaltech is 1.48 times more volatile than Seoul Food Industrial. It trades about 0.11 of its potential returns per unit of risk. Seoul Food Industrial is currently generating about -0.1 per unit of risk. If you would invest 465,271 in Heungkuk Metaltech CoLtd on October 3, 2024 and sell it today you would earn a total of 66,729 from holding Heungkuk Metaltech CoLtd or generate 14.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Heungkuk Metaltech CoLtd vs. Seoul Food Industrial
Performance |
Timeline |
Heungkuk Metaltech CoLtd |
Seoul Food Industrial |
Heungkuk Metaltech and Seoul Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Heungkuk Metaltech and Seoul Food
The main advantage of trading using opposite Heungkuk Metaltech and Seoul Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Heungkuk Metaltech position performs unexpectedly, Seoul Food 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 Seoul Food will offset losses from the drop in Seoul Food's long position.Heungkuk Metaltech vs. AptaBio Therapeutics | Heungkuk Metaltech vs. Woori Technology Investment | Heungkuk Metaltech vs. Solution Advanced Technology | Heungkuk Metaltech vs. Busan Industrial Co |
Seoul Food vs. AptaBio Therapeutics | Seoul Food vs. Daewoo SBI SPAC | Seoul Food vs. Dream Security co | Seoul Food vs. Microfriend |
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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