Correlation Between Lotte Rental and Hyundai CF
Can any of the company-specific risk be diversified away by investing in both Lotte Rental and Hyundai CF 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 Rental and Hyundai CF into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lotte Rental Co and Hyundai CF, you can compare the effects of market volatilities on Lotte Rental and Hyundai CF 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 Rental with a short position of Hyundai CF. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Rental and Hyundai CF.
Diversification Opportunities for Lotte Rental and Hyundai CF
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Lotte and Hyundai is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Rental Co and Hyundai CF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hyundai CF and Lotte Rental 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 Rental Co are associated (or correlated) with Hyundai CF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hyundai CF has no effect on the direction of Lotte Rental i.e., Lotte Rental and Hyundai CF go up and down completely randomly.
Pair Corralation between Lotte Rental and Hyundai CF
Assuming the 90 days trading horizon Lotte Rental Co is expected to under-perform the Hyundai CF. In addition to that, Lotte Rental is 1.84 times more volatile than Hyundai CF. It trades about -0.05 of its total potential returns per unit of risk. Hyundai CF is currently generating about 0.05 per unit of volatility. If you would invest 1,021,000 in Hyundai CF on December 24, 2024 and sell it today you would earn a total of 19,000 from holding Hyundai CF or generate 1.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Rental Co vs. Hyundai CF
Performance |
Timeline |
Lotte Rental |
Hyundai CF |
Lotte Rental and Hyundai CF Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Rental and Hyundai CF
The main advantage of trading using opposite Lotte Rental and Hyundai CF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Rental position performs unexpectedly, Hyundai CF 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 Hyundai CF will offset losses from the drop in Hyundai CF's long position.Lotte Rental vs. Samsung Electronics Co | Lotte Rental vs. Sunny Electronics Corp | Lotte Rental vs. Shinsegae Information Communication | Lotte Rental vs. Korea Computer |
Hyundai CF vs. Ni Steel | Hyundai CF vs. Daechang Steel Co | Hyundai CF vs. Dongil Steel Co | Hyundai CF vs. GAMEVIL |
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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Other Complementary Tools
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |