Correlation Between Basic Materials and Dow 2x
Can any of the company-specific risk be diversified away by investing in both Basic Materials and Dow 2x 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 Basic Materials and Dow 2x into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Basic Materials Fund and Dow 2x Strategy, you can compare the effects of market volatilities on Basic Materials and Dow 2x 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 Basic Materials with a short position of Dow 2x. Check out your portfolio center. Please also check ongoing floating volatility patterns of Basic Materials and Dow 2x.
Diversification Opportunities for Basic Materials and Dow 2x
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Basic and Dow is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Basic Materials Fund and Dow 2x Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow 2x Strategy and Basic Materials 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 Basic Materials Fund are associated (or correlated) with Dow 2x. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow 2x Strategy has no effect on the direction of Basic Materials i.e., Basic Materials and Dow 2x go up and down completely randomly.
Pair Corralation between Basic Materials and Dow 2x
Assuming the 90 days horizon Basic Materials Fund is expected to under-perform the Dow 2x. But the mutual fund apears to be less risky and, when comparing its historical volatility, Basic Materials Fund is 2.17 times less risky than Dow 2x. The mutual fund trades about -0.06 of its potential returns per unit of risk. The Dow 2x Strategy is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 17,466 in Dow 2x Strategy on August 24, 2024 and sell it today you would earn a total of 648.00 from holding Dow 2x Strategy or generate 3.71% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
Basic Materials Fund vs. Dow 2x Strategy
Performance |
| Timeline |
| Basic Materials |
| Dow 2x Strategy |
Basic Materials and Dow 2x Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Basic Materials and Dow 2x
The main advantage of trading using opposite Basic Materials and Dow 2x positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Basic Materials position performs unexpectedly, Dow 2x 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 2x will offset losses from the drop in Dow 2x's long position.| Basic Materials vs. Energy Fund Investor | Basic Materials vs. Energy Services Fund | Basic Materials vs. Health Care Fund | Basic Materials vs. Banking Fund Investor |
| Dow 2x vs. Sp 500 2x | Dow 2x vs. Inverse Dow 2x | Dow 2x vs. Nasdaq 100 2x Strategy | Dow 2x vs. Russell 2000 2x |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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