Correlation Between WIMFARM SA and Air Transport
Can any of the company-specific risk be diversified away by investing in both WIMFARM SA 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 WIMFARM SA and Air Transport into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WIMFARM SA EO and Air Transport Services, you can compare the effects of market volatilities on WIMFARM SA 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 WIMFARM SA with a short position of Air Transport. Check out your portfolio center. Please also check ongoing floating volatility patterns of WIMFARM SA and Air Transport.
Diversification Opportunities for WIMFARM SA and Air Transport
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between WIMFARM and Air is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding WIMFARM SA EO 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 WIMFARM SA 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 WIMFARM SA EO 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 WIMFARM SA i.e., WIMFARM SA and Air Transport go up and down completely randomly.
Pair Corralation between WIMFARM SA and Air Transport
Assuming the 90 days horizon WIMFARM SA EO is expected to under-perform the Air Transport. In addition to that, WIMFARM SA is 1.23 times more volatile than Air Transport Services. It trades about -0.07 of its total potential returns per unit of risk. Air Transport Services is currently generating about 0.01 per unit of volatility. If you would invest 2,320 in Air Transport Services on November 5, 2024 and sell it today you would lose (180.00) from holding Air Transport Services or give up 7.76% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 99.8% |
| Values | Daily Returns |
WIMFARM SA EO vs. Air Transport Services
Performance |
| Timeline |
| WIMFARM SA EO |
| Air Transport Services |
WIMFARM SA and Air Transport Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with WIMFARM SA and Air Transport
The main advantage of trading using opposite WIMFARM SA and Air Transport positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WIMFARM SA 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.| WIMFARM SA vs. KINGBOARD CHEMICAL | WIMFARM SA vs. Eastman Chemical | WIMFARM SA vs. CARSALESCOM | WIMFARM SA vs. Mitsubishi Gas Chemical |
| Air Transport vs. The Japan Steel | Air Transport vs. Daido Steel Co | Air Transport vs. Tianjin Capital Environmental | Air Transport vs. MGIC 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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