Correlation Between SANOK RUBBER and AEGEAN AIRLINES
Can any of the company-specific risk be diversified away by investing in both SANOK RUBBER and AEGEAN AIRLINES 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 SANOK RUBBER and AEGEAN AIRLINES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SANOK RUBBER ZY and AEGEAN AIRLINES, you can compare the effects of market volatilities on SANOK RUBBER and AEGEAN AIRLINES 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 SANOK RUBBER with a short position of AEGEAN AIRLINES. Check out your portfolio center. Please also check ongoing floating volatility patterns of SANOK RUBBER and AEGEAN AIRLINES.
Diversification Opportunities for SANOK RUBBER and AEGEAN AIRLINES
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SANOK and AEGEAN is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding SANOK RUBBER ZY and AEGEAN AIRLINES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AEGEAN AIRLINES and SANOK RUBBER 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 SANOK RUBBER ZY are associated (or correlated) with AEGEAN AIRLINES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AEGEAN AIRLINES has no effect on the direction of SANOK RUBBER i.e., SANOK RUBBER and AEGEAN AIRLINES go up and down completely randomly.
Pair Corralation between SANOK RUBBER and AEGEAN AIRLINES
Assuming the 90 days horizon SANOK RUBBER ZY is expected to generate 2.19 times more return on investment than AEGEAN AIRLINES. However, SANOK RUBBER is 2.19 times more volatile than AEGEAN AIRLINES. It trades about 0.22 of its potential returns per unit of risk. AEGEAN AIRLINES is currently generating about -0.06 per unit of risk. If you would invest 455.00 in SANOK RUBBER ZY on October 20, 2024 and sell it today you would earn a total of 40.00 from holding SANOK RUBBER ZY or generate 8.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 94.44% |
Values | Daily Returns |
SANOK RUBBER ZY vs. AEGEAN AIRLINES
Performance |
Timeline |
SANOK RUBBER ZY |
AEGEAN AIRLINES |
SANOK RUBBER and AEGEAN AIRLINES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SANOK RUBBER and AEGEAN AIRLINES
The main advantage of trading using opposite SANOK RUBBER and AEGEAN AIRLINES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SANOK RUBBER position performs unexpectedly, AEGEAN AIRLINES 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 AEGEAN AIRLINES will offset losses from the drop in AEGEAN AIRLINES's long position.SANOK RUBBER vs. Goodyear Tire Rubber | SANOK RUBBER vs. Vulcan Materials | SANOK RUBBER vs. FIRST SHIP LEASE | SANOK RUBBER vs. Lendlease Group |
AEGEAN AIRLINES vs. REVO INSURANCE SPA | AEGEAN AIRLINES vs. Laureate Education | AEGEAN AIRLINES vs. CAREER EDUCATION | AEGEAN AIRLINES vs. Universal Insurance 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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