Correlation Between Bell Financial and Finexia Financial
Can any of the company-specific risk be diversified away by investing in both Bell Financial and Finexia Financial 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 Bell Financial and Finexia Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bell Financial Group and Finexia Financial Group, you can compare the effects of market volatilities on Bell Financial and Finexia Financial 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 Bell Financial with a short position of Finexia Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bell Financial and Finexia Financial.
Diversification Opportunities for Bell Financial and Finexia Financial
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bell and Finexia is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Bell Financial Group and Finexia Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Finexia Financial and Bell 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 Bell Financial Group are associated (or correlated) with Finexia Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Finexia Financial has no effect on the direction of Bell Financial i.e., Bell Financial and Finexia Financial go up and down completely randomly.
Pair Corralation between Bell Financial and Finexia Financial
Assuming the 90 days trading horizon Bell Financial is expected to generate 2.65 times less return on investment than Finexia Financial. But when comparing it to its historical volatility, Bell Financial Group is 2.46 times less risky than Finexia Financial. It trades about 0.02 of its potential returns per unit of risk. Finexia Financial Group is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 28.00 in Finexia Financial Group on October 7, 2024 and sell it today you would earn a total of 2.00 from holding Finexia Financial Group or generate 7.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bell Financial Group vs. Finexia Financial Group
Performance |
Timeline |
Bell Financial Group |
Finexia Financial |
Bell Financial and Finexia Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bell Financial and Finexia Financial
The main advantage of trading using opposite Bell Financial and Finexia Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bell Financial position performs unexpectedly, Finexia Financial 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 Finexia Financial will offset losses from the drop in Finexia Financial's long position.Bell Financial vs. Commonwealth Bank of | Bell Financial vs. Champion Iron | Bell Financial vs. Peel Mining | Bell Financial vs. Australian Dairy Farms |
Finexia Financial vs. Commonwealth Bank of | Finexia Financial vs. Champion Iron | Finexia Financial vs. Peel Mining | Finexia Financial vs. Australian Dairy Farms |
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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