Correlation Between Air New and FEMALE HEALTH
Can any of the company-specific risk be diversified away by investing in both Air New and FEMALE HEALTH 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 Air New and FEMALE HEALTH into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Air New Zealand and FEMALE HEALTH, you can compare the effects of market volatilities on Air New and FEMALE HEALTH 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 Air New with a short position of FEMALE HEALTH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Air New and FEMALE HEALTH.
Diversification Opportunities for Air New and FEMALE HEALTH
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Air and FEMALE is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Air New Zealand and FEMALE HEALTH in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FEMALE HEALTH and Air New 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 Air New Zealand are associated (or correlated) with FEMALE HEALTH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FEMALE HEALTH has no effect on the direction of Air New i.e., Air New and FEMALE HEALTH go up and down completely randomly.
Pair Corralation between Air New and FEMALE HEALTH
Assuming the 90 days trading horizon Air New Zealand is expected to generate 0.27 times more return on investment than FEMALE HEALTH. However, Air New Zealand is 3.7 times less risky than FEMALE HEALTH. It trades about 0.0 of its potential returns per unit of risk. FEMALE HEALTH is currently generating about -0.04 per unit of risk. If you would invest 34.00 in Air New Zealand on September 20, 2024 and sell it today you would lose (3.00) from holding Air New Zealand or give up 8.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Air New Zealand vs. FEMALE HEALTH
Performance |
Timeline |
Air New Zealand |
FEMALE HEALTH |
Air New and FEMALE HEALTH Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Air New and FEMALE HEALTH
The main advantage of trading using opposite Air New and FEMALE HEALTH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Air New position performs unexpectedly, FEMALE HEALTH 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 FEMALE HEALTH will offset losses from the drop in FEMALE HEALTH's long position.The idea behind Air New Zealand and FEMALE HEALTH pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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