Correlation Between National Australia and EROAD
Can any of the company-specific risk be diversified away by investing in both National Australia and EROAD 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 National Australia and EROAD into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between National Australia Bank and EROAD, you can compare the effects of market volatilities on National Australia and EROAD 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 National Australia with a short position of EROAD. Check out your portfolio center. Please also check ongoing floating volatility patterns of National Australia and EROAD.
Diversification Opportunities for National Australia and EROAD
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between National and EROAD is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding National Australia Bank and EROAD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EROAD and National Australia 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 National Australia Bank are associated (or correlated) with EROAD. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EROAD has no effect on the direction of National Australia i.e., National Australia and EROAD go up and down completely randomly.
Pair Corralation between National Australia and EROAD
Assuming the 90 days trading horizon National Australia Bank is expected to generate 0.08 times more return on investment than EROAD. However, National Australia Bank is 12.44 times less risky than EROAD. It trades about 0.03 of its potential returns per unit of risk. EROAD is currently generating about -0.02 per unit of risk. If you would invest 10,410 in National Australia Bank on September 26, 2024 and sell it today you would earn a total of 51.00 from holding National Australia Bank or generate 0.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
National Australia Bank vs. EROAD
Performance |
Timeline |
National Australia Bank |
EROAD |
National Australia and EROAD Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with National Australia and EROAD
The main advantage of trading using opposite National Australia and EROAD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if National Australia position performs unexpectedly, EROAD 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 EROAD will offset losses from the drop in EROAD's long position.National Australia vs. Westpac Banking | National Australia vs. Bank of Queensland | National Australia vs. Macquarie Technology Group | National Australia vs. Qbe Insurance Group |
EROAD vs. Westpac Banking | EROAD vs. National Australia Bank | EROAD vs. National Australia Bank | EROAD vs. National Australia Bank |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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