Correlation Between YG Entertainment and Seoul Food
Can any of the company-specific risk be diversified away by investing in both YG Entertainment 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 YG Entertainment and Seoul Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between YG Entertainment and Seoul Food Industrial, you can compare the effects of market volatilities on YG Entertainment 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 YG Entertainment with a short position of Seoul Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of YG Entertainment and Seoul Food.
Diversification Opportunities for YG Entertainment and Seoul Food
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between 122870 and Seoul is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding YG Entertainment 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 YG Entertainment 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 YG Entertainment 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 YG Entertainment i.e., YG Entertainment and Seoul Food go up and down completely randomly.
Pair Corralation between YG Entertainment and Seoul Food
Assuming the 90 days trading horizon YG Entertainment is expected to generate 2.22 times more return on investment than Seoul Food. However, YG Entertainment is 2.22 times more volatile than Seoul Food Industrial. It trades about 0.01 of its potential returns per unit of risk. Seoul Food Industrial is currently generating about -0.04 per unit of risk. If you would invest 4,885,376 in YG Entertainment on September 26, 2024 and sell it today you would lose (400,376) from holding YG Entertainment or give up 8.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 99.79% |
Values | Daily Returns |
YG Entertainment vs. Seoul Food Industrial
Performance |
Timeline |
YG Entertainment |
Seoul Food Industrial |
YG Entertainment and Seoul Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with YG Entertainment and Seoul Food
The main advantage of trading using opposite YG Entertainment and Seoul Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if YG Entertainment 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.YG Entertainment vs. Samsung Electronics Co | YG Entertainment vs. Samsung Electronics Co | YG Entertainment vs. KB Financial Group | YG Entertainment vs. Shinhan Financial Group |
Seoul Food vs. AptaBio Therapeutics | Seoul Food vs. Wonbang Tech Co | Seoul Food vs. Busan Industrial Co | Seoul Food vs. Busan Ind |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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