Correlation Between Avgol Industries and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Avgol Industries and Dow Jones 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 Avgol Industries and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Avgol Industries 1953 and Dow Jones Industrial, you can compare the effects of market volatilities on Avgol Industries and Dow Jones 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 Avgol Industries with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Avgol Industries and Dow Jones.
Diversification Opportunities for Avgol Industries and Dow Jones
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Avgol and Dow is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Avgol Industries 1953 and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Avgol Industries 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 Avgol Industries 1953 are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Avgol Industries i.e., Avgol Industries and Dow Jones go up and down completely randomly.
Pair Corralation between Avgol Industries and Dow Jones
Assuming the 90 days trading horizon Avgol Industries 1953 is expected to generate 2.18 times more return on investment than Dow Jones. However, Avgol Industries is 2.18 times more volatile than Dow Jones Industrial. It trades about 0.24 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.15 per unit of risk. If you would invest 12,650 in Avgol Industries 1953 on August 24, 2024 and sell it today you would earn a total of 1,070 from holding Avgol Industries 1953 or generate 8.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 73.91% |
Values | Daily Returns |
Avgol Industries 1953 vs. Dow Jones Industrial
Performance |
Timeline |
Avgol Industries and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Avgol Industries 1953
Pair trading matchups for Avgol Industries
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Avgol Industries and Dow Jones
The main advantage of trading using opposite Avgol Industries and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Avgol Industries position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Avgol Industries vs. Alony Hetz Properties | Avgol Industries vs. Discount Investment Corp | Avgol Industries vs. Migdal Insurance | Avgol Industries vs. Bezeq Israeli Telecommunication |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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