Correlation Between Dow Jones and Airports
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Airports 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 Dow Jones and Airports into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Airports of Thailand, you can compare the effects of market volatilities on Dow Jones and Airports 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 Dow Jones with a short position of Airports. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Airports.
Diversification Opportunities for Dow Jones and Airports
Poor diversification
The 3 months correlation between Dow and Airports is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Airports of Thailand in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Airports of Thailand and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Airports. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Airports of Thailand has no effect on the direction of Dow Jones i.e., Dow Jones and Airports go up and down completely randomly.
Pair Corralation between Dow Jones and Airports
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.09 times more return on investment than Airports. However, Dow Jones Industrial is 10.68 times less risky than Airports. It trades about -0.04 of its potential returns per unit of risk. Airports of Thailand is currently generating about -0.04 per unit of risk. If you would invest 4,257,373 in Dow Jones Industrial on December 30, 2024 and sell it today you would lose (98,983) from holding Dow Jones Industrial or give up 2.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.41% |
Values | Daily Returns |
Dow Jones Industrial vs. Airports of Thailand
Performance |
Timeline |
Dow Jones and Airports Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Airports of Thailand
Pair trading matchups for Airports
Pair Trading with Dow Jones and Airports
The main advantage of trading using opposite Dow Jones and Airports positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Airports 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 Airports will offset losses from the drop in Airports' long position.Dow Jones vs. Highway Holdings Limited | Dow Jones vs. Companhia Siderurgica Nacional | Dow Jones vs. POSCO Holdings | Dow Jones vs. Grupo Simec SAB |
Airports vs. Auckland International Airport | Airports vs. Auckland International Airport | Airports vs. Aena SME SA | Airports vs. Aena SME SA |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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