Correlation Between NICE Information and Lotte Data
Can any of the company-specific risk be diversified away by investing in both NICE Information 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 NICE Information and Lotte Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NICE Information Service and Lotte Data Communication, you can compare the effects of market volatilities on NICE Information 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 NICE Information with a short position of Lotte Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of NICE Information and Lotte Data.
Diversification Opportunities for NICE Information and Lotte Data
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between NICE and Lotte is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding NICE Information Service 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 NICE Information 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 NICE Information Service 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 NICE Information i.e., NICE Information and Lotte Data go up and down completely randomly.
Pair Corralation between NICE Information and Lotte Data
Assuming the 90 days trading horizon NICE Information Service is expected to generate 1.0 times more return on investment than Lotte Data. However, NICE Information Service is 1.0 times less risky than Lotte Data. It trades about 0.04 of its potential returns per unit of risk. Lotte Data Communication is currently generating about 0.0 per unit of risk. If you would invest 1,155,049 in NICE Information Service on December 31, 2024 and sell it today you would earn a total of 34,951 from holding NICE Information Service or generate 3.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NICE Information Service vs. Lotte Data Communication
Performance |
Timeline |
NICE Information Service |
Lotte Data Communication |
NICE Information and Lotte Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NICE Information and Lotte Data
The main advantage of trading using opposite NICE Information and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NICE Information 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.NICE Information vs. LB Investment | NICE Information vs. Aju IB Investment | NICE Information vs. Golden Bridge Investment | NICE Information vs. DB Financial Investment |
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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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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