Correlation Between Old National and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Old National 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 Old National and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Old National Bancorp and Dow Jones Industrial, you can compare the effects of market volatilities on Old National 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 Old National with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Old National and Dow Jones.
Diversification Opportunities for Old National and Dow Jones
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Old and Dow is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Old National Bancorp 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 Old National 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 Old National Bancorp 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 Old National i.e., Old National and Dow Jones go up and down completely randomly.
Pair Corralation between Old National and Dow Jones
Assuming the 90 days horizon Old National Bancorp is expected to under-perform the Dow Jones. But the preferred stock apears to be less risky and, when comparing its historical volatility, Old National Bancorp is 1.38 times less risky than Dow Jones. The preferred stock trades about -0.03 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 4,257,373 in Dow Jones Industrial on December 28, 2024 and sell it today you would lose (27,403) from holding Dow Jones Industrial or give up 0.64% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Old National Bancorp vs. Dow Jones Industrial
Performance |
Timeline |
Old National and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Old National Bancorp
Pair trading matchups for Old National
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Old National and Dow Jones
The main advantage of trading using opposite Old National and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Old National 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.Old National vs. Old National Bancorp | Old National vs. Pinnacle Financial Partners | Old National vs. OceanFirst Financial Corp |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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