Correlation Between Lotte Chilsung and Kyung-In Synthetic
Can any of the company-specific risk be diversified away by investing in both Lotte Chilsung and Kyung-In Synthetic 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 Lotte Chilsung and Kyung-In Synthetic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lotte Chilsung Beverage and Kyung In Synthetic Corp, you can compare the effects of market volatilities on Lotte Chilsung and Kyung-In Synthetic 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 Lotte Chilsung with a short position of Kyung-In Synthetic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Chilsung and Kyung-In Synthetic.
Diversification Opportunities for Lotte Chilsung and Kyung-In Synthetic
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lotte and Kyung-In is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Chilsung Beverage and Kyung In Synthetic Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kyung In Synthetic and Lotte Chilsung 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 Lotte Chilsung Beverage are associated (or correlated) with Kyung-In Synthetic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kyung In Synthetic has no effect on the direction of Lotte Chilsung i.e., Lotte Chilsung and Kyung-In Synthetic go up and down completely randomly.
Pair Corralation between Lotte Chilsung and Kyung-In Synthetic
Assuming the 90 days trading horizon Lotte Chilsung Beverage is expected to generate 0.83 times more return on investment than Kyung-In Synthetic. However, Lotte Chilsung Beverage is 1.2 times less risky than Kyung-In Synthetic. It trades about -0.06 of its potential returns per unit of risk. Kyung In Synthetic Corp is currently generating about -0.08 per unit of risk. If you would invest 12,930,000 in Lotte Chilsung Beverage on September 30, 2024 and sell it today you would lose (1,650,000) from holding Lotte Chilsung Beverage or give up 12.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Chilsung Beverage vs. Kyung In Synthetic Corp
Performance |
Timeline |
Lotte Chilsung Beverage |
Kyung In Synthetic |
Lotte Chilsung and Kyung-In Synthetic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Chilsung and Kyung-In Synthetic
The main advantage of trading using opposite Lotte Chilsung and Kyung-In Synthetic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Chilsung position performs unexpectedly, Kyung-In Synthetic 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 Kyung-In Synthetic will offset losses from the drop in Kyung-In Synthetic's long position.Lotte Chilsung vs. Woori Financial Group | Lotte Chilsung vs. Jb Financial | Lotte Chilsung vs. Nh Investment And | Lotte Chilsung vs. Kumho Petro Chemical |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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