Correlation Between Nufarm and SINGAPORE AIRLINES
Can any of the company-specific risk be diversified away by investing in both Nufarm 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 Nufarm and SINGAPORE AIRLINES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nufarm Limited and SINGAPORE AIRLINES, you can compare the effects of market volatilities on Nufarm 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 Nufarm with a short position of SINGAPORE AIRLINES. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nufarm and SINGAPORE AIRLINES.
Diversification Opportunities for Nufarm and SINGAPORE AIRLINES
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Nufarm and SINGAPORE is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Nufarm Limited and SINGAPORE AIRLINES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SINGAPORE AIRLINES and Nufarm 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 Nufarm Limited 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 Nufarm i.e., Nufarm and SINGAPORE AIRLINES go up and down completely randomly.
Pair Corralation between Nufarm and SINGAPORE AIRLINES
Assuming the 90 days horizon Nufarm Limited is expected to under-perform the SINGAPORE AIRLINES. In addition to that, Nufarm is 1.51 times more volatile than SINGAPORE AIRLINES. It trades about -0.05 of its total potential returns per unit of risk. SINGAPORE AIRLINES is currently generating about 0.05 per unit of volatility. If you would invest 339.00 in SINGAPORE AIRLINES on October 11, 2024 and sell it today you would earn a total of 110.00 from holding SINGAPORE AIRLINES or generate 32.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Nufarm Limited vs. SINGAPORE AIRLINES
Performance |
Timeline |
Nufarm Limited |
SINGAPORE AIRLINES |
Nufarm and SINGAPORE AIRLINES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nufarm and SINGAPORE AIRLINES
The main advantage of trading using opposite Nufarm and SINGAPORE AIRLINES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nufarm 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's long position.Nufarm vs. Yara International ASA | Nufarm vs. Superior Plus Corp | Nufarm vs. NMI Holdings | Nufarm vs. SIVERS SEMICONDUCTORS AB |
SINGAPORE AIRLINES vs. Titan Machinery | SINGAPORE AIRLINES vs. Nufarm Limited | SINGAPORE AIRLINES vs. Endeavour Mining PLC | SINGAPORE AIRLINES vs. WIMFARM SA EO |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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