Correlation Between Wt Financial and Macquarie Bank
Can any of the company-specific risk be diversified away by investing in both Wt Financial and Macquarie Bank 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 Wt Financial and Macquarie Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wt Financial Group and Macquarie Bank Limited, you can compare the effects of market volatilities on Wt Financial and Macquarie Bank 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 Wt Financial with a short position of Macquarie Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wt Financial and Macquarie Bank.
Diversification Opportunities for Wt Financial and Macquarie Bank
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between WTL and Macquarie is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Wt Financial Group and Macquarie Bank Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Macquarie Bank and Wt 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 Wt Financial Group are associated (or correlated) with Macquarie Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Macquarie Bank has no effect on the direction of Wt Financial i.e., Wt Financial and Macquarie Bank go up and down completely randomly.
Pair Corralation between Wt Financial and Macquarie Bank
Assuming the 90 days trading horizon Wt Financial Group is expected to under-perform the Macquarie Bank. In addition to that, Wt Financial is 3.92 times more volatile than Macquarie Bank Limited. It trades about -0.11 of its total potential returns per unit of risk. Macquarie Bank Limited is currently generating about 0.05 per unit of volatility. If you would invest 10,322 in Macquarie Bank Limited on August 30, 2024 and sell it today you would earn a total of 78.00 from holding Macquarie Bank Limited or generate 0.76% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Wt Financial Group vs. Macquarie Bank Limited
Performance |
| Timeline |
| Wt Financial Group |
| Macquarie Bank |
Wt Financial and Macquarie Bank Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Wt Financial and Macquarie Bank
The main advantage of trading using opposite Wt Financial and Macquarie Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wt Financial position performs unexpectedly, Macquarie Bank 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 Macquarie Bank will offset losses from the drop in Macquarie Bank's long position.| Wt Financial vs. Dicker Data | Wt Financial vs. Bio Gene Technology | Wt Financial vs. Ainsworth Game Technology | Wt Financial vs. TPG Telecom |
| Macquarie Bank vs. Ssr Mining | Macquarie Bank vs. Ora Banda Mining | Macquarie Bank vs. Black Cat Syndicate | Macquarie Bank vs. Ecofibre |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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