Correlation Between Lotte Data and Daejung Chemicals
Can any of the company-specific risk be diversified away by investing in both Lotte Data and Daejung Chemicals 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 Data and Daejung Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lotte Data Communication and Daejung Chemicals Metals, you can compare the effects of market volatilities on Lotte Data and Daejung Chemicals 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 Data with a short position of Daejung Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and Daejung Chemicals.
Diversification Opportunities for Lotte Data and Daejung Chemicals
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lotte and Daejung is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and Daejung Chemicals Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daejung Chemicals Metals and Lotte Data 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 Data Communication are associated (or correlated) with Daejung Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daejung Chemicals Metals has no effect on the direction of Lotte Data i.e., Lotte Data and Daejung Chemicals go up and down completely randomly.
Pair Corralation between Lotte Data and Daejung Chemicals
Assuming the 90 days trading horizon Lotte Data Communication is expected to generate 1.92 times more return on investment than Daejung Chemicals. However, Lotte Data is 1.92 times more volatile than Daejung Chemicals Metals. It trades about 0.03 of its potential returns per unit of risk. Daejung Chemicals Metals is currently generating about -0.02 per unit of risk. If you would invest 1,874,550 in Lotte Data Communication on December 26, 2024 and sell it today you would earn a total of 45,450 from holding Lotte Data Communication or generate 2.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Data Communication vs. Daejung Chemicals Metals
Performance |
Timeline |
Lotte Data Communication |
Daejung Chemicals Metals |
Lotte Data and Daejung Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Data and Daejung Chemicals
The main advantage of trading using opposite Lotte Data and Daejung Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, Daejung Chemicals 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 Daejung Chemicals will offset losses from the drop in Daejung Chemicals' long position.Lotte Data vs. LS Materials | Lotte Data vs. Iljin Materials Co | Lotte Data vs. CJ Seafood Corp | Lotte Data vs. Hyosung Advanced Materials |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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