Correlation Between Aozora Bank and Singapore Airlines
Can any of the company-specific risk be diversified away by investing in both Aozora Bank and Singapore 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 Aozora Bank and Singapore Airlines into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aozora Bank and Singapore Airlines Limited, you can compare the effects of market volatilities on Aozora Bank and Singapore 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 Aozora Bank with a short position of Singapore Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aozora Bank and Singapore Airlines.
Diversification Opportunities for Aozora Bank and Singapore Airlines
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Aozora and Singapore is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Aozora Bank and Singapore Airlines Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singapore Airlines and Aozora Bank 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 Aozora Bank are associated (or correlated) with Singapore Airlines. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singapore Airlines has no effect on the direction of Aozora Bank i.e., Aozora Bank and Singapore Airlines go up and down completely randomly.
Pair Corralation between Aozora Bank and Singapore Airlines
Assuming the 90 days horizon Aozora Bank is expected to under-perform the Singapore Airlines. In addition to that, Aozora Bank is 1.53 times more volatile than Singapore Airlines Limited. It trades about -0.02 of its total potential returns per unit of risk. Singapore Airlines Limited is currently generating about 0.04 per unit of volatility. If you would invest 436.00 in Singapore Airlines Limited on September 12, 2024 and sell it today you would earn a total of 12.00 from holding Singapore Airlines Limited or generate 2.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Aozora Bank vs. Singapore Airlines Limited
Performance |
Timeline |
Aozora Bank |
Singapore Airlines |
Aozora Bank and Singapore Airlines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aozora Bank and Singapore Airlines
The main advantage of trading using opposite Aozora Bank and Singapore Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aozora Bank position performs unexpectedly, Singapore 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 Singapore Airlines will offset losses from the drop in Singapore Airlines' long position.Aozora Bank vs. Agricultural Bank of | Aozora Bank vs. Commonwealth Bank of | Aozora Bank vs. Superior Plus Corp | Aozora Bank vs. SIVERS SEMICONDUCTORS AB |
Singapore Airlines vs. RYANAIR HLDGS ADR | Singapore Airlines vs. Ryanair Holdings plc | Singapore Airlines vs. Superior Plus Corp | Singapore Airlines vs. SIVERS SEMICONDUCTORS AB |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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