Correlation Between Hon Hai and American Aires
Can any of the company-specific risk be diversified away by investing in both Hon Hai and American Aires 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 Hon Hai and American Aires into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hon Hai Precision and American Aires, you can compare the effects of market volatilities on Hon Hai and American Aires 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 Hon Hai with a short position of American Aires. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hon Hai and American Aires.
Diversification Opportunities for Hon Hai and American Aires
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Hon and American is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Hon Hai Precision and American Aires in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Aires and Hon Hai 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 Hon Hai Precision are associated (or correlated) with American Aires. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Aires has no effect on the direction of Hon Hai i.e., Hon Hai and American Aires go up and down completely randomly.
Pair Corralation between Hon Hai and American Aires
Assuming the 90 days horizon Hon Hai Precision is expected to under-perform the American Aires. But the pink sheet apears to be less risky and, when comparing its historical volatility, Hon Hai Precision is 3.61 times less risky than American Aires. The pink sheet trades about -0.1 of its potential returns per unit of risk. The American Aires is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 14.00 in American Aires on December 2, 2024 and sell it today you would earn a total of 0.00 from holding American Aires or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.83% |
Values | Daily Returns |
Hon Hai Precision vs. American Aires
Performance |
Timeline |
Hon Hai Precision |
American Aires |
Hon Hai and American Aires Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hon Hai and American Aires
The main advantage of trading using opposite Hon Hai and American Aires positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hon Hai position performs unexpectedly, American Aires 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 American Aires will offset losses from the drop in American Aires' long position.Hon Hai vs. AT S Austria | Hon Hai vs. alpha En | Hon Hai vs. Alps Electric Co | Hon Hai vs. Bitmine Immersion Technologies |
American Aires vs. alpha En | American Aires vs. Alps Electric Co | American Aires vs. Bitmine Immersion Technologies | American Aires vs. AT S Austria |
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 Bonds Directory module to find actively traded corporate debentures issued by US companies.
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