Correlation Between Incar Financial and Lotte Data
Can any of the company-specific risk be diversified away by investing in both Incar Financial 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 Incar Financial and Lotte Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Incar Financial Service and Lotte Data Communication, you can compare the effects of market volatilities on Incar Financial 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 Incar Financial with a short position of Lotte Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Incar Financial and Lotte Data.
Diversification Opportunities for Incar Financial and Lotte Data
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Incar and Lotte is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Incar Financial 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 Incar Financial 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 Incar Financial 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 Incar Financial i.e., Incar Financial and Lotte Data go up and down completely randomly.
Pair Corralation between Incar Financial and Lotte Data
Assuming the 90 days trading horizon Incar Financial Service is expected to generate 1.52 times more return on investment than Lotte Data. However, Incar Financial is 1.52 times more volatile than Lotte Data Communication. It trades about 0.14 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 542,113 in Incar Financial Service on December 24, 2024 and sell it today you would earn a total of 115,887 from holding Incar Financial Service or generate 21.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Incar Financial Service vs. Lotte Data Communication
Performance |
Timeline |
Incar Financial Service |
Lotte Data Communication |
Incar Financial and Lotte Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Incar Financial and Lotte Data
The main advantage of trading using opposite Incar Financial and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Incar Financial 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.Incar Financial vs. Genie Music | Incar Financial vs. PlayD Co | Incar Financial vs. Pureun Mutual Savings | Incar Financial vs. Green Cross Medical |
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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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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