Correlation Between Dow Jones and Highland Copper
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Highland Copper 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 Highland Copper 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 Highland Copper, you can compare the effects of market volatilities on Dow Jones and Highland Copper 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 Highland Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Highland Copper.
Diversification Opportunities for Dow Jones and Highland Copper
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dow and Highland is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Highland Copper in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Highland Copper 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 Highland Copper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Highland Copper has no effect on the direction of Dow Jones i.e., Dow Jones and Highland Copper go up and down completely randomly.
Pair Corralation between Dow Jones and Highland Copper
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Highland Copper. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 5.9 times less risky than Highland Copper. The index trades about -0.07 of its potential returns per unit of risk. The Highland Copper is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 7.00 in Highland Copper on December 8, 2024 and sell it today you would lose (0.39) from holding Highland Copper or give up 5.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
Dow Jones Industrial vs. Highland Copper
Performance |
Timeline |
Dow Jones and Highland Copper Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Highland Copper
Pair trading matchups for Highland Copper
Pair Trading with Dow Jones and Highland Copper
The main advantage of trading using opposite Dow Jones and Highland Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Highland Copper 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 Highland Copper will offset losses from the drop in Highland Copper's long position.Dow Jones vs. BBB Foods | Dow Jones vs. Kellanova | Dow Jones vs. Uber Technologies | Dow Jones vs. Willamette Valley Vineyards |
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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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
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