Correlation Between Seoul Broadcasting and Seoul Food
Can any of the company-specific risk be diversified away by investing in both Seoul Broadcasting 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 Seoul Broadcasting and Seoul Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Seoul Broadcasting System and Seoul Food Industrial, you can compare the effects of market volatilities on Seoul Broadcasting 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 Seoul Broadcasting with a short position of Seoul Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Seoul Broadcasting and Seoul Food.
Diversification Opportunities for Seoul Broadcasting and Seoul Food
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Seoul and Seoul is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Seoul Broadcasting System 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 Seoul Broadcasting 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 Seoul Broadcasting System 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 Seoul Broadcasting i.e., Seoul Broadcasting and Seoul Food go up and down completely randomly.
Pair Corralation between Seoul Broadcasting and Seoul Food
Assuming the 90 days trading horizon Seoul Broadcasting System is expected to under-perform the Seoul Food. In addition to that, Seoul Broadcasting is 3.67 times more volatile than Seoul Food Industrial. It trades about -0.12 of its total potential returns per unit of risk. Seoul Food Industrial is currently generating about -0.1 per unit of volatility. If you would invest 15,100 in Seoul Food Industrial on December 25, 2024 and sell it today you would lose (800.00) from holding Seoul Food Industrial or give up 5.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.25% |
Values | Daily Returns |
Seoul Broadcasting System vs. Seoul Food Industrial
Performance |
Timeline |
Seoul Broadcasting System |
Seoul Food Industrial |
Seoul Broadcasting and Seoul Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Seoul Broadcasting and Seoul Food
The main advantage of trading using opposite Seoul Broadcasting and Seoul Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Seoul Broadcasting 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.Seoul Broadcasting vs. Kukdo Chemical Co | Seoul Broadcasting vs. Dongbang Ship Machinery | Seoul Broadcasting vs. KEPCO Engineering Construction | Seoul Broadcasting vs. ISU Chemical 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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