Correlation Between Mirae Asset and AeroSpace Technology
Can any of the company-specific risk be diversified away by investing in both Mirae Asset and AeroSpace Technology 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 Mirae Asset and AeroSpace Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mirae Asset Daewoo and AeroSpace Technology of, you can compare the effects of market volatilities on Mirae Asset and AeroSpace Technology 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 Mirae Asset with a short position of AeroSpace Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mirae Asset and AeroSpace Technology.
Diversification Opportunities for Mirae Asset and AeroSpace Technology
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Mirae and AeroSpace is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Mirae Asset Daewoo and AeroSpace Technology of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AeroSpace Technology and Mirae Asset 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 Mirae Asset Daewoo are associated (or correlated) with AeroSpace Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AeroSpace Technology has no effect on the direction of Mirae Asset i.e., Mirae Asset and AeroSpace Technology go up and down completely randomly.
Pair Corralation between Mirae Asset and AeroSpace Technology
Assuming the 90 days trading horizon Mirae Asset Daewoo is expected to generate 0.32 times more return on investment than AeroSpace Technology. However, Mirae Asset Daewoo is 3.11 times less risky than AeroSpace Technology. It trades about 0.02 of its potential returns per unit of risk. AeroSpace Technology of is currently generating about -0.05 per unit of risk. If you would invest 403,039 in Mirae Asset Daewoo on September 26, 2024 and sell it today you would earn a total of 32,461 from holding Mirae Asset Daewoo or generate 8.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 97.31% |
Values | Daily Returns |
Mirae Asset Daewoo vs. AeroSpace Technology of
Performance |
Timeline |
Mirae Asset Daewoo |
AeroSpace Technology |
Mirae Asset and AeroSpace Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mirae Asset and AeroSpace Technology
The main advantage of trading using opposite Mirae Asset and AeroSpace Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mirae Asset position performs unexpectedly, AeroSpace Technology 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 AeroSpace Technology will offset losses from the drop in AeroSpace Technology's long position.Mirae Asset vs. Samsung Electronics Co | Mirae Asset vs. Samsung Electronics Co | Mirae Asset vs. LG Energy Solution | Mirae Asset vs. SK Hynix |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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