Correlation Between Saia and Mesa Air
Can any of the company-specific risk be diversified away by investing in both Saia and Mesa Air 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 Saia and Mesa Air into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Saia Inc and Mesa Air Group, you can compare the effects of market volatilities on Saia and Mesa Air 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 Saia with a short position of Mesa Air. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saia and Mesa Air.
Diversification Opportunities for Saia and Mesa Air
Very poor diversification
The 3 months correlation between Saia and Mesa is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Saia Inc and Mesa Air Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mesa Air Group and Saia 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 Saia Inc are associated (or correlated) with Mesa Air. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mesa Air Group has no effect on the direction of Saia i.e., Saia and Mesa Air go up and down completely randomly.
Pair Corralation between Saia and Mesa Air
Given the investment horizon of 90 days Saia Inc is expected to under-perform the Mesa Air. But the stock apears to be less risky and, when comparing its historical volatility, Saia Inc is 1.45 times less risky than Mesa Air. The stock trades about -0.07 of its potential returns per unit of risk. The Mesa Air Group is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 92.00 in Mesa Air Group on December 27, 2024 and sell it today you would lose (5.00) from holding Mesa Air Group or give up 5.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Saia Inc vs. Mesa Air Group
Performance |
Timeline |
Saia Inc |
Mesa Air Group |
Saia and Mesa Air Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Saia and Mesa Air
The main advantage of trading using opposite Saia and Mesa Air positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saia position performs unexpectedly, Mesa Air 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 Mesa Air will offset losses from the drop in Mesa Air's long position.The idea behind Saia Inc and Mesa Air Group 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.Mesa Air vs. Allegiant Travel | Mesa Air vs. Sun Country Airlines | Mesa Air vs. Frontier Group Holdings | Mesa Air vs. Azul 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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