Correlation Between Dow Jones and Ingram Micro
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Ingram Micro 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 Ingram Micro 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 Ingram Micro Bilisim, you can compare the effects of market volatilities on Dow Jones and Ingram Micro 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 Ingram Micro. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Ingram Micro.
Diversification Opportunities for Dow Jones and Ingram Micro
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dow and Ingram is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Ingram Micro Bilisim in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ingram Micro Bilisim 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 Ingram Micro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ingram Micro Bilisim has no effect on the direction of Dow Jones i.e., Dow Jones and Ingram Micro go up and down completely randomly.
Pair Corralation between Dow Jones and Ingram Micro
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Ingram Micro. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 3.39 times less risky than Ingram Micro. The index trades about -0.08 of its potential returns per unit of risk. The Ingram Micro Bilisim is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 42,200 in Ingram Micro Bilisim on October 7, 2024 and sell it today you would earn a total of 2,100 from holding Ingram Micro Bilisim or generate 4.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 97.67% |
Values | Daily Returns |
Dow Jones Industrial vs. Ingram Micro Bilisim
Performance |
Timeline |
Dow Jones and Ingram Micro Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Ingram Micro Bilisim
Pair trading matchups for Ingram Micro
Pair Trading with Dow Jones and Ingram Micro
The main advantage of trading using opposite Dow Jones and Ingram Micro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Ingram Micro 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 Ingram Micro will offset losses from the drop in Ingram Micro's long position.Dow Jones vs. Evertz Technologies Limited | Dow Jones vs. Amkor Technology | Dow Jones vs. Plexus Corp | Dow Jones vs. Valneva SE ADR |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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