Correlation Between Kbi Metal and Lotte Data
Can any of the company-specific risk be diversified away by investing in both Kbi Metal and Lotte Data 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 Kbi Metal and Lotte Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kbi Metal Co and Lotte Data Communication, you can compare the effects of market volatilities on Kbi Metal and Lotte Data 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 Kbi Metal with a short position of Lotte Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kbi Metal and Lotte Data.
Diversification Opportunities for Kbi Metal and Lotte Data
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Kbi and Lotte is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Kbi Metal Co and Lotte Data Communication in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Data Communication and Kbi Metal 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 Kbi Metal Co are associated (or correlated) with Lotte Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Data Communication has no effect on the direction of Kbi Metal i.e., Kbi Metal and Lotte Data go up and down completely randomly.
Pair Corralation between Kbi Metal and Lotte Data
Assuming the 90 days trading horizon Kbi Metal Co is expected to generate 1.71 times more return on investment than Lotte Data. However, Kbi Metal is 1.71 times more volatile than Lotte Data Communication. It trades about 0.02 of its potential returns per unit of risk. Lotte Data Communication is currently generating about -0.06 per unit of risk. If you would invest 238,000 in Kbi Metal Co on October 26, 2024 and sell it today you would lose (11,000) from holding Kbi Metal Co or give up 4.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Kbi Metal Co vs. Lotte Data Communication
Performance |
Timeline |
Kbi Metal |
Lotte Data Communication |
Kbi Metal and Lotte Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kbi Metal and Lotte Data
The main advantage of trading using opposite Kbi Metal and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kbi Metal position performs unexpectedly, Lotte Data 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 Data will offset losses from the drop in Lotte Data's long position.Kbi Metal vs. Samsung Electronics Co | Kbi Metal vs. Samsung Electronics Co | Kbi Metal vs. KB Financial Group | Kbi Metal vs. Shinhan Financial Group |
Lotte Data vs. SK Holdings Co | Lotte Data vs. Busan Industrial Co | Lotte Data vs. Busan Ind | Lotte Data vs. RPBio Inc |
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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Other Complementary Tools
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |