Correlation Between Lotte Data and Shinhan Inverse
Can any of the company-specific risk be diversified away by investing in both Lotte Data and Shinhan Inverse 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 Shinhan Inverse 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 Shinhan Inverse WTI, you can compare the effects of market volatilities on Lotte Data and Shinhan Inverse 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 Shinhan Inverse. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and Shinhan Inverse.
Diversification Opportunities for Lotte Data and Shinhan Inverse
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lotte and Shinhan is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and Shinhan Inverse WTI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shinhan Inverse WTI 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 Shinhan Inverse. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shinhan Inverse WTI has no effect on the direction of Lotte Data i.e., Lotte Data and Shinhan Inverse go up and down completely randomly.
Pair Corralation between Lotte Data and Shinhan Inverse
Assuming the 90 days trading horizon Lotte Data Communication is expected to generate 1.41 times more return on investment than Shinhan Inverse. However, Lotte Data is 1.41 times more volatile than Shinhan Inverse WTI. It trades about 0.05 of its potential returns per unit of risk. Shinhan Inverse WTI is currently generating about -0.02 per unit of risk. If you would invest 1,990,000 in Lotte Data Communication on November 29, 2024 and sell it today you would earn a total of 85,000 from holding Lotte Data Communication or generate 4.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Data Communication vs. Shinhan Inverse WTI
Performance |
Timeline |
Lotte Data Communication |
Shinhan Inverse WTI |
Lotte Data and Shinhan Inverse Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Data and Shinhan Inverse
The main advantage of trading using opposite Lotte Data and Shinhan Inverse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, Shinhan Inverse 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 Shinhan Inverse will offset losses from the drop in Shinhan Inverse's long position.Lotte Data vs. Sangsin Energy Display | Lotte Data vs. Playgram Co | Lotte Data vs. Innowireless Co | Lotte Data vs. Daejung Chemicals Metals |
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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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
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