Correlation Between Qantas Airways and National Australia
Can any of the company-specific risk be diversified away by investing in both Qantas Airways and National Australia 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 Qantas Airways and National Australia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Qantas Airways and National Australia Bank, you can compare the effects of market volatilities on Qantas Airways and National Australia 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 Qantas Airways with a short position of National Australia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qantas Airways and National Australia.
Diversification Opportunities for Qantas Airways and National Australia
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Qantas and National is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Qantas Airways and National Australia Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Australia Bank and Qantas Airways 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 Qantas Airways are associated (or correlated) with National Australia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Australia Bank has no effect on the direction of Qantas Airways i.e., Qantas Airways and National Australia go up and down completely randomly.
Pair Corralation between Qantas Airways and National Australia
Assuming the 90 days trading horizon Qantas Airways is expected to generate 9.9 times more return on investment than National Australia. However, Qantas Airways is 9.9 times more volatile than National Australia Bank. It trades about 0.02 of its potential returns per unit of risk. National Australia Bank is currently generating about 0.09 per unit of risk. If you would invest 891.00 in Qantas Airways on December 23, 2024 and sell it today you would earn a total of 11.00 from holding Qantas Airways or generate 1.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Qantas Airways vs. National Australia Bank
Performance |
Timeline |
Qantas Airways |
National Australia Bank |
Qantas Airways and National Australia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Qantas Airways and National Australia
The main advantage of trading using opposite Qantas Airways and National Australia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qantas Airways position performs unexpectedly, National Australia 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 National Australia will offset losses from the drop in National Australia's long position.Qantas Airways vs. The Environmental Group | Qantas Airways vs. TPG Telecom | Qantas Airways vs. Advanced Braking Technology | Qantas Airways vs. Regal Investment |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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