Correlation Between Lotte Data and CU Medical
Can any of the company-specific risk be diversified away by investing in both Lotte Data and CU Medical 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 CU Medical 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 CU Medical Systems, you can compare the effects of market volatilities on Lotte Data and CU Medical 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 CU Medical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and CU Medical.
Diversification Opportunities for Lotte Data and CU Medical
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Lotte and 115480 is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and CU Medical Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CU Medical Systems 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 CU Medical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CU Medical Systems has no effect on the direction of Lotte Data i.e., Lotte Data and CU Medical go up and down completely randomly.
Pair Corralation between Lotte Data and CU Medical
Assuming the 90 days trading horizon Lotte Data Communication is expected to generate 1.65 times more return on investment than CU Medical. However, Lotte Data is 1.65 times more volatile than CU Medical Systems. It trades about 0.0 of its potential returns per unit of risk. CU Medical Systems is currently generating about -0.06 per unit of risk. If you would invest 2,373,345 in Lotte Data Communication on September 27, 2024 and sell it today you would lose (396,345) from holding Lotte Data Communication or give up 16.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 99.79% |
Values | Daily Returns |
Lotte Data Communication vs. CU Medical Systems
Performance |
Timeline |
Lotte Data Communication |
CU Medical Systems |
Lotte Data and CU Medical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Data and CU Medical
The main advantage of trading using opposite Lotte Data and CU Medical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, CU Medical 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 CU Medical will offset losses from the drop in CU Medical's long position.Lotte Data vs. SK Holdings Co | Lotte Data vs. Daou Tech | Lotte Data vs. Namyang Dairy | Lotte Data vs. Korean Air Lines |
CU Medical vs. NH Investment Securities | CU Medical vs. Lotte Data Communication | CU Medical vs. Coloray International Investment | CU Medical vs. Daol Investment Securities |
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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Other Complementary Tools
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |