Correlation Between Lotte Non and Koryo Credit
Can any of the company-specific risk be diversified away by investing in both Lotte Non and Koryo Credit 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 Non and Koryo Credit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lotte Non Life Insurance and Koryo Credit Information, you can compare the effects of market volatilities on Lotte Non and Koryo Credit 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 Non with a short position of Koryo Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Non and Koryo Credit.
Diversification Opportunities for Lotte Non and Koryo Credit
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lotte and Koryo is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Non Life Insurance and Koryo Credit Information in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Koryo Credit Information and Lotte Non 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 Non Life Insurance are associated (or correlated) with Koryo Credit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Koryo Credit Information has no effect on the direction of Lotte Non i.e., Lotte Non and Koryo Credit go up and down completely randomly.
Pair Corralation between Lotte Non and Koryo Credit
Assuming the 90 days trading horizon Lotte Non Life Insurance is expected to generate 2.12 times more return on investment than Koryo Credit. However, Lotte Non is 2.12 times more volatile than Koryo Credit Information. It trades about 0.33 of its potential returns per unit of risk. Koryo Credit Information is currently generating about 0.19 per unit of risk. 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 |
Lotte Non Life Insurance vs. Koryo Credit Information
Performance |
Timeline |
Lotte Non Life |
Koryo Credit Information |
Lotte Non and Koryo Credit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Non and Koryo Credit
The main advantage of trading using opposite Lotte Non and Koryo Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Non position performs unexpectedly, Koryo Credit 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 Koryo Credit will offset losses from the drop in Koryo Credit's long position.Lotte Non vs. Nice Information Telecommunication | Lotte Non vs. Playgram Co | Lotte Non vs. Iljin Display | Lotte Non vs. Shinil Industrial Co |
Koryo Credit vs. Lotte Non Life Insurance | Koryo Credit vs. Amogreentech Co | Koryo Credit vs. Industrial Bank | Koryo Credit vs. PNC Technologies co |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Other Complementary Tools
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities |