Correlation Between Inverse Dow and Basic Materials
Can any of the company-specific risk be diversified away by investing in both Inverse Dow and Basic Materials 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 Inverse Dow and Basic Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inverse Dow 2x and Basic Materials Fund, you can compare the effects of market volatilities on Inverse Dow and Basic Materials 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 Inverse Dow with a short position of Basic Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inverse Dow and Basic Materials.
Diversification Opportunities for Inverse Dow and Basic Materials
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Inverse and Basic is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Inverse Dow 2x and Basic Materials Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Basic Materials and Inverse Dow 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 Inverse Dow 2x are associated (or correlated) with Basic Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Basic Materials has no effect on the direction of Inverse Dow i.e., Inverse Dow and Basic Materials go up and down completely randomly.
Pair Corralation between Inverse Dow and Basic Materials
Assuming the 90 days horizon Inverse Dow 2x is expected to generate 0.28 times more return on investment than Basic Materials. However, Inverse Dow 2x is 3.6 times less risky than Basic Materials. It trades about 0.07 of its potential returns per unit of risk. Basic Materials Fund is currently generating about -0.16 per unit of risk. If you would invest 2,294 in Inverse Dow 2x on September 23, 2024 and sell it today you would earn a total of 53.00 from holding Inverse Dow 2x or generate 2.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Inverse Dow 2x vs. Basic Materials Fund
Performance |
Timeline |
Inverse Dow 2x |
Basic Materials |
Inverse Dow and Basic Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inverse Dow and Basic Materials
The main advantage of trading using opposite Inverse Dow and Basic Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inverse Dow position performs unexpectedly, Basic Materials 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 Basic Materials will offset losses from the drop in Basic Materials' long position.Inverse Dow vs. Basic Materials Fund | Inverse Dow vs. Basic Materials Fund | Inverse Dow vs. Banking Fund Class | Inverse Dow vs. Basic Materials Fund |
Basic Materials vs. Basic Materials Fund | Basic Materials vs. Energy Services Fund | Basic Materials vs. Energy Fund Class | Basic Materials vs. Basic Materials Fund |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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