Correlation Between SINGAPORE AIRLINES and CHEMICAL INDUSTRIES
Can any of the company-specific risk be diversified away by investing in both SINGAPORE AIRLINES and CHEMICAL INDUSTRIES 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 SINGAPORE AIRLINES and CHEMICAL INDUSTRIES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SINGAPORE AIRLINES and CHEMICAL INDUSTRIES, you can compare the effects of market volatilities on SINGAPORE AIRLINES and CHEMICAL INDUSTRIES 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 SINGAPORE AIRLINES with a short position of CHEMICAL INDUSTRIES. Check out your portfolio center. Please also check ongoing floating volatility patterns of SINGAPORE AIRLINES and CHEMICAL INDUSTRIES.
Diversification Opportunities for SINGAPORE AIRLINES and CHEMICAL INDUSTRIES
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between SINGAPORE and CHEMICAL is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding SINGAPORE AIRLINES and CHEMICAL INDUSTRIES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHEMICAL INDUSTRIES and SINGAPORE AIRLINES 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 SINGAPORE AIRLINES are associated (or correlated) with CHEMICAL INDUSTRIES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHEMICAL INDUSTRIES has no effect on the direction of SINGAPORE AIRLINES i.e., SINGAPORE AIRLINES and CHEMICAL INDUSTRIES go up and down completely randomly.
Pair Corralation between SINGAPORE AIRLINES and CHEMICAL INDUSTRIES
If you would invest 426.00 in SINGAPORE AIRLINES on September 3, 2024 and sell it today you would earn a total of 14.00 from holding SINGAPORE AIRLINES or generate 3.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 98.46% |
Values | Daily Returns |
SINGAPORE AIRLINES vs. CHEMICAL INDUSTRIES
Performance |
Timeline |
SINGAPORE AIRLINES |
CHEMICAL INDUSTRIES |
SINGAPORE AIRLINES and CHEMICAL INDUSTRIES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SINGAPORE AIRLINES and CHEMICAL INDUSTRIES
The main advantage of trading using opposite SINGAPORE AIRLINES and CHEMICAL INDUSTRIES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SINGAPORE AIRLINES position performs unexpectedly, CHEMICAL INDUSTRIES 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 CHEMICAL INDUSTRIES will offset losses from the drop in CHEMICAL INDUSTRIES's long position.SINGAPORE AIRLINES vs. REVO INSURANCE SPA | SINGAPORE AIRLINES vs. ALBIS LEASING AG | SINGAPORE AIRLINES vs. Evolution Mining Limited | SINGAPORE AIRLINES vs. PT Bank Maybank |
CHEMICAL INDUSTRIES vs. KOOL2PLAY SA ZY | CHEMICAL INDUSTRIES vs. PLAYTIKA HOLDING DL 01 | CHEMICAL INDUSTRIES vs. SHIP HEALTHCARE HLDGINC | CHEMICAL INDUSTRIES vs. Brockhaus Capital Management |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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