Correlation Between Lotte Chilsung and Clean Science
Can any of the company-specific risk be diversified away by investing in both Lotte Chilsung and Clean Science 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 Clean Science 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 Clean Science co, you can compare the effects of market volatilities on Lotte Chilsung and Clean Science 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 Clean Science. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Chilsung and Clean Science.
Diversification Opportunities for Lotte Chilsung and Clean Science
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lotte and Clean is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Chilsung Beverage and Clean Science co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Science co 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 Clean Science. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Science co has no effect on the direction of Lotte Chilsung i.e., Lotte Chilsung and Clean Science go up and down completely randomly.
Pair Corralation between Lotte Chilsung and Clean Science
Assuming the 90 days trading horizon Lotte Chilsung Beverage is expected to generate 1.27 times more return on investment than Clean Science. However, Lotte Chilsung is 1.27 times more volatile than Clean Science co. It trades about -0.08 of its potential returns per unit of risk. Clean Science co is currently generating about -0.15 per unit of risk. If you would invest 12,890,000 in Lotte Chilsung Beverage on September 4, 2024 and sell it today you would lose (930,000) from holding Lotte Chilsung Beverage or give up 7.21% 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. Clean Science co
Performance |
Timeline |
Lotte Chilsung Beverage |
Clean Science co |
Lotte Chilsung and Clean Science Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Chilsung and Clean Science
The main advantage of trading using opposite Lotte Chilsung and Clean Science positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Chilsung position performs unexpectedly, Clean Science 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 Clean Science will offset losses from the drop in Clean Science's long position.Lotte Chilsung vs. LG Display | Lotte Chilsung vs. Hyundai Motor | Lotte Chilsung vs. Hyundai Motor Co | Lotte Chilsung vs. Hyundai Motor Co |
Clean Science vs. LG Display | Clean Science vs. Hyundai Motor | Clean Science vs. Hyundai Motor Co | Clean Science vs. Hyundai Motor 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 Bonds Directory module to find actively traded corporate debentures issued by US companies.
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