Correlation Between Lotte Data and Incar Financial
Can any of the company-specific risk be diversified away by investing in both Lotte Data and Incar Financial 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 Incar Financial 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 Incar Financial Service, you can compare the effects of market volatilities on Lotte Data and Incar Financial 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 Incar Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and Incar Financial.
Diversification Opportunities for Lotte Data and Incar Financial
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Lotte and Incar is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and Incar Financial Service in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Incar Financial Service 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 Incar Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Incar Financial Service has no effect on the direction of Lotte Data i.e., Lotte Data and Incar Financial go up and down completely randomly.
Pair Corralation between Lotte Data and Incar Financial
Assuming the 90 days trading horizon Lotte Data Communication is expected to under-perform the Incar Financial. But the stock apears to be less risky and, when comparing its historical volatility, Lotte Data Communication is 1.25 times less risky than Incar Financial. The stock trades about -0.01 of its potential returns per unit of risk. The Incar Financial Service is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 543,100 in Incar Financial Service on October 24, 2024 and sell it today you would earn a total of 50,900 from holding Incar Financial Service or generate 9.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Data Communication vs. Incar Financial Service
Performance |
Timeline |
Lotte Data Communication |
Incar Financial Service |
Lotte Data and Incar Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Data and Incar Financial
The main advantage of trading using opposite Lotte Data and Incar Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, Incar Financial 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 Incar Financial will offset losses from the drop in Incar Financial's long position.Lotte Data vs. National Plastic Co | Lotte Data vs. Phoenix Materials Co | Lotte Data vs. SCI Information Service | Lotte Data vs. Jeong Moon Information |
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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 Stocks Directory module to find actively traded stocks across global markets.
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