Correlation Between Dow Jones and Juhayna Food
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Juhayna Food 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 Dow Jones and Juhayna Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Juhayna Food Industries, you can compare the effects of market volatilities on Dow Jones and Juhayna Food 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 Dow Jones with a short position of Juhayna Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Juhayna Food.
Diversification Opportunities for Dow Jones and Juhayna Food
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Dow and Juhayna is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Juhayna Food Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Juhayna Food Industries and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Juhayna Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Juhayna Food Industries has no effect on the direction of Dow Jones i.e., Dow Jones and Juhayna Food go up and down completely randomly.
Pair Corralation between Dow Jones and Juhayna Food
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Juhayna Food. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 2.88 times less risky than Juhayna Food. The index trades about -0.04 of its potential returns per unit of risk. The Juhayna Food Industries is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 3,278 in Juhayna Food Industries on December 29, 2024 and sell it today you would earn a total of 22.00 from holding Juhayna Food Industries or generate 0.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 83.61% |
Values | Daily Returns |
Dow Jones Industrial vs. Juhayna Food Industries
Performance |
Timeline |
Dow Jones and Juhayna Food Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Juhayna Food Industries
Pair trading matchups for Juhayna Food
Pair Trading with Dow Jones and Juhayna Food
The main advantage of trading using opposite Dow Jones and Juhayna Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Juhayna Food 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 Juhayna Food will offset losses from the drop in Juhayna Food's long position.Dow Jones vs. Perseus Mining Limited | Dow Jones vs. Falcon Metals Limited | Dow Jones vs. Broadstone Net Lease | Dow Jones vs. PennantPark Investment |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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