Correlation Between Lotte Data and Air Busan
Can any of the company-specific risk be diversified away by investing in both Lotte Data and Air Busan 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 Air Busan 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 Air Busan Co, you can compare the effects of market volatilities on Lotte Data and Air Busan 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 Air Busan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and Air Busan.
Diversification Opportunities for Lotte Data and Air Busan
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lotte and Air is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and Air Busan Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Air Busan 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 Air Busan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Air Busan has no effect on the direction of Lotte Data i.e., Lotte Data and Air Busan go up and down completely randomly.
Pair Corralation between Lotte Data and Air Busan
Assuming the 90 days trading horizon Lotte Data Communication is expected to under-perform the Air Busan. But the stock apears to be less risky and, when comparing its historical volatility, Lotte Data Communication is 1.01 times less risky than Air Busan. The stock trades about -0.09 of its potential returns per unit of risk. The Air Busan Co is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 233,000 in Air Busan Co on September 23, 2024 and sell it today you would lose (9,500) from holding Air Busan Co or give up 4.08% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Data Communication vs. Air Busan Co
Performance |
Timeline |
Lotte Data Communication |
Air Busan |
Lotte Data and Air Busan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Data and Air Busan
The main advantage of trading using opposite Lotte Data and Air Busan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, Air Busan 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 Air Busan will offset losses from the drop in Air Busan's long position.Lotte Data vs. TS Investment Corp | Lotte Data vs. Coloray International Investment | Lotte Data vs. Nice Information Telecommunication | Lotte Data vs. Pureun Mutual Savings |
Air Busan vs. Moadata Co | Air Busan vs. Lotte Data Communication | Air Busan vs. Nice Information Telecommunication | Air Busan vs. Shinsegae Information Communication |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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