Correlation Between Pinterest and Air Transport
Can any of the company-specific risk be diversified away by investing in both Pinterest and Air Transport 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 Pinterest and Air Transport into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pinterest and Air Transport Services, you can compare the effects of market volatilities on Pinterest and Air Transport 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 Pinterest with a short position of Air Transport. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pinterest and Air Transport.
Diversification Opportunities for Pinterest and Air Transport
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Pinterest and Air is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Pinterest and Air Transport Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Air Transport Services and Pinterest 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 Pinterest are associated (or correlated) with Air Transport. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Air Transport Services has no effect on the direction of Pinterest i.e., Pinterest and Air Transport go up and down completely randomly.
Pair Corralation between Pinterest and Air Transport
Given the investment horizon of 90 days Pinterest is expected to under-perform the Air Transport. But the stock apears to be less risky and, when comparing its historical volatility, Pinterest is 1.52 times less risky than Air Transport. The stock trades about -0.07 of its potential returns per unit of risk. The Air Transport Services is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 1,729 in Air Transport Services on August 31, 2024 and sell it today you would earn a total of 470.00 from holding Air Transport Services or generate 27.18% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Pinterest vs. Air Transport Services
Performance |
| Timeline |
| Air Transport Services |
Pinterest and Air Transport Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Pinterest and Air Transport
The main advantage of trading using opposite Pinterest and Air Transport positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pinterest position performs unexpectedly, Air Transport 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 Air Transport will offset losses from the drop in Air Transport's long position.| Pinterest vs. Twilio Inc | Pinterest vs. Meta Platforms | Pinterest vs. Alphabet Inc Class C | Pinterest vs. Alphabet Inc Class A |
| Air Transport vs. Copa Holdings SA | Air Transport vs. SkyWest | Air Transport vs. Sun Country Airlines | Air Transport vs. Frontier Group Holdings |
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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