Correlation Between Koryo Credit and Lotte Non
Can any of the company-specific risk be diversified away by investing in both Koryo Credit and Lotte Non 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 Koryo Credit and Lotte Non into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Koryo Credit Information and Lotte Non Life Insurance, you can compare the effects of market volatilities on Koryo Credit and Lotte Non 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 Koryo Credit with a short position of Lotte Non. Check out your portfolio center. Please also check ongoing floating volatility patterns of Koryo Credit and Lotte Non.
Diversification Opportunities for Koryo Credit and Lotte Non
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Koryo and Lotte is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Koryo Credit Information and Lotte Non Life Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Non Life and Koryo Credit 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 Koryo Credit Information are associated (or correlated) with Lotte Non. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Non Life has no effect on the direction of Koryo Credit i.e., Koryo Credit and Lotte Non go up and down completely randomly.
Pair Corralation between Koryo Credit and Lotte Non
Assuming the 90 days trading horizon Koryo Credit is expected to generate 3.74 times less return on investment than Lotte Non. But when comparing it to its historical volatility, Koryo Credit Information is 2.12 times less risky than Lotte Non. It trades about 0.19 of its potential returns per unit of risk. Lotte Non Life Insurance is currently generating about 0.33 of returns per unit of risk over similar time horizon. If you would invest 182,000 in Lotte Non Life Insurance on October 9, 2024 and sell it today you would earn a total of 24,000 from holding Lotte Non Life Insurance or generate 13.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Koryo Credit Information vs. Lotte Non Life Insurance
Performance |
Timeline |
Koryo Credit Information |
Lotte Non Life |
Koryo Credit and Lotte Non Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Koryo Credit and Lotte Non
The main advantage of trading using opposite Koryo Credit and Lotte Non positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Koryo Credit position performs unexpectedly, Lotte Non 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 Non will offset losses from the drop in Lotte Non's long position.Koryo Credit vs. Lotte Non Life Insurance | Koryo Credit vs. Amogreentech Co | Koryo Credit vs. Industrial Bank | Koryo Credit vs. PNC Technologies co |
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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 Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
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