Correlation Between Finexia Financial and Westpac Banking
Can any of the company-specific risk be diversified away by investing in both Finexia Financial and Westpac Banking 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 Finexia Financial and Westpac Banking into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Finexia Financial Group and Westpac Banking Corp, you can compare the effects of market volatilities on Finexia Financial and Westpac Banking 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 Finexia Financial with a short position of Westpac Banking. Check out your portfolio center. Please also check ongoing floating volatility patterns of Finexia Financial and Westpac Banking.
Diversification Opportunities for Finexia Financial and Westpac Banking
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Finexia and Westpac is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Finexia Financial Group and Westpac Banking Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Westpac Banking Corp and Finexia Financial 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 Finexia Financial Group are associated (or correlated) with Westpac Banking. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Westpac Banking Corp has no effect on the direction of Finexia Financial i.e., Finexia Financial and Westpac Banking go up and down completely randomly.
Pair Corralation between Finexia Financial and Westpac Banking
Assuming the 90 days trading horizon Finexia Financial Group is expected to generate 3.2 times more return on investment than Westpac Banking. However, Finexia Financial is 3.2 times more volatile than Westpac Banking Corp. It trades about 0.3 of its potential returns per unit of risk. Westpac Banking Corp is currently generating about 0.3 per unit of risk. If you would invest 26.00 in Finexia Financial Group on August 31, 2024 and sell it today you would earn a total of 6.00 from holding Finexia Financial Group or generate 23.08% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Finexia Financial Group vs. Westpac Banking Corp
Performance |
| Timeline |
| Finexia Financial |
| Westpac Banking Corp |
Finexia Financial and Westpac Banking Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Finexia Financial and Westpac Banking
The main advantage of trading using opposite Finexia Financial and Westpac Banking positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Finexia Financial position performs unexpectedly, Westpac Banking 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 Westpac Banking will offset losses from the drop in Westpac Banking's long position.| Finexia Financial vs. Energy Resources | Finexia Financial vs. 88 Energy | Finexia Financial vs. Amani Gold | Finexia Financial vs. A1 Investments Resources |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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