Correlation Between Lotte Data and Camus Engineering
Can any of the company-specific risk be diversified away by investing in both Lotte Data and Camus Engineering 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 Camus Engineering 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 Camus Engineering Construction, you can compare the effects of market volatilities on Lotte Data and Camus Engineering 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 Camus Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and Camus Engineering.
Diversification Opportunities for Lotte Data and Camus Engineering
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Lotte and Camus is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and Camus Engineering Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Camus Engineering 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 Camus Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Camus Engineering has no effect on the direction of Lotte Data i.e., Lotte Data and Camus Engineering go up and down completely randomly.
Pair Corralation between Lotte Data and Camus Engineering
Assuming the 90 days trading horizon Lotte Data Communication is expected to generate 0.37 times more return on investment than Camus Engineering. However, Lotte Data Communication is 2.69 times less risky than Camus Engineering. It trades about 0.0 of its potential returns per unit of risk. Camus Engineering Construction is currently generating about 0.0 per unit of risk. If you would invest 1,977,000 in Lotte Data Communication on December 23, 2024 and sell it today you would lose (12,000) from holding Lotte Data Communication or give up 0.61% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Data Communication vs. Camus Engineering Construction
Performance |
Timeline |
Lotte Data Communication |
Camus Engineering |
Lotte Data and Camus Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Data and Camus Engineering
The main advantage of trading using opposite Lotte Data and Camus Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, Camus Engineering 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 Camus Engineering will offset losses from the drop in Camus Engineering's long position.Lotte Data vs. Korea Shipbuilding Offshore | Lotte Data vs. Taeyang Metal Industrial | Lotte Data vs. DataSolution | Lotte Data vs. SCI Information Service |
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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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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