Correlation Between Dow Jones and Global Bond
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Global Bond 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 Global Bond 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 Global Bond Fund, you can compare the effects of market volatilities on Dow Jones and Global Bond 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 Global Bond. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Global Bond.
Diversification Opportunities for Dow Jones and Global Bond
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Dow and Global is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Global Bond Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Bond Fund 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 Global Bond. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Bond Fund has no effect on the direction of Dow Jones i.e., Dow Jones and Global Bond go up and down completely randomly.
Pair Corralation between Dow Jones and Global Bond
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 3.22 times more return on investment than Global Bond. However, Dow Jones is 3.22 times more volatile than Global Bond Fund. It trades about 0.3 of its potential returns per unit of risk. Global Bond Fund is currently generating about 0.02 per unit of risk. If you would invest 4,214,154 in Dow Jones Industrial on August 31, 2024 and sell it today you would earn a total of 276,911 from holding Dow Jones Industrial or generate 6.57% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
Dow Jones Industrial vs. Global Bond Fund
Performance |
| Timeline |
Dow Jones and Global Bond Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Global Bond Fund
Pair trading matchups for Global Bond
Pair Trading with Dow Jones and Global Bond
The main advantage of trading using opposite Dow Jones and Global Bond positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Global Bond 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 Global Bond will offset losses from the drop in Global Bond's long position.| Dow Jones vs. Aerofoam Metals | Dow Jones vs. ACG Metals Limited | Dow Jones vs. China Clean Energy | Dow Jones vs. Fast Retailing Co |
| Global Bond vs. Touchstone Small Cap | Global Bond vs. Chase Growth Fund | Global Bond vs. Rational Defensive Growth | Global Bond vs. Vanguard Growth And |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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