Correlation Between Lotte Chilsung and Lotte Data
Can any of the company-specific risk be diversified away by investing in both Lotte Chilsung and Lotte Data 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 Lotte Data 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 Lotte Data Communication, you can compare the effects of market volatilities on Lotte Chilsung and Lotte Data 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 Lotte Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Chilsung and Lotte Data.
Diversification Opportunities for Lotte Chilsung and Lotte Data
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Lotte and Lotte is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Chilsung Beverage and Lotte Data Communication in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Data Communication 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 Lotte Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Data Communication has no effect on the direction of Lotte Chilsung i.e., Lotte Chilsung and Lotte Data go up and down completely randomly.
Pair Corralation between Lotte Chilsung and Lotte Data
Assuming the 90 days trading horizon Lotte Chilsung Beverage is expected to under-perform the Lotte Data. But the stock apears to be less risky and, when comparing its historical volatility, Lotte Chilsung Beverage is 1.36 times less risky than Lotte Data. The stock trades about -0.13 of its potential returns per unit of risk. The Lotte Data Communication is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 2,010,000 in Lotte Data Communication on November 20, 2024 and sell it today you would earn a total of 25,000 from holding Lotte Data Communication or generate 1.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Chilsung Beverage vs. Lotte Data Communication
Performance |
Timeline |
Lotte Chilsung Beverage |
Lotte Data Communication |
Lotte Chilsung and Lotte Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Chilsung and Lotte Data
The main advantage of trading using opposite Lotte Chilsung and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Chilsung position performs unexpectedly, Lotte Data 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 Lotte Data will offset losses from the drop in Lotte Data's long position.Lotte Chilsung vs. TOPMATERIAL LTD | Lotte Chilsung vs. Daejoo Electronic Materials | Lotte Chilsung vs. Lotte Energy Materials | Lotte Chilsung vs. RF Materials Co |
Lotte Data vs. Sungmoon Electronics Co | Lotte Data vs. Derkwoo Electronics Co | Lotte Data vs. Mobileleader CoLtd | Lotte Data vs. Digital Power Communications |
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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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