Correlation Between Basic Materials and Inverse Emerging
Can any of the company-specific risk be diversified away by investing in both Basic Materials and Inverse Emerging 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 Inverse Emerging 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 Inverse Emerging Markets, you can compare the effects of market volatilities on Basic Materials and Inverse Emerging 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 Inverse Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Basic Materials and Inverse Emerging.
Diversification Opportunities for Basic Materials and Inverse Emerging
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Basic and Inverse is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Basic Materials Fund and Inverse Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inverse Emerging Markets 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 Inverse Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inverse Emerging Markets has no effect on the direction of Basic Materials i.e., Basic Materials and Inverse Emerging go up and down completely randomly.
Pair Corralation between Basic Materials and Inverse Emerging
Assuming the 90 days horizon Basic Materials Fund is expected to generate 0.62 times more return on investment than Inverse Emerging. However, Basic Materials Fund is 1.62 times less risky than Inverse Emerging. It trades about -0.01 of its potential returns per unit of risk. Inverse Emerging Markets is currently generating about -0.03 per unit of risk. If you would invest 7,311 in Basic Materials Fund on October 10, 2024 and sell it today you would lose (710.00) from holding Basic Materials Fund or give up 9.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Basic Materials Fund vs. Inverse Emerging Markets
Performance |
Timeline |
Basic Materials |
Inverse Emerging Markets |
Basic Materials and Inverse Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Basic Materials and Inverse Emerging
The main advantage of trading using opposite Basic Materials and Inverse Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Basic Materials position performs unexpectedly, Inverse Emerging 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 Inverse Emerging will offset losses from the drop in Inverse Emerging's long position.Basic Materials vs. Basic Materials Fund | Basic Materials vs. Basic Materials Fund | Basic Materials vs. Basic Materials Fund | Basic Materials vs. Energy Services Fund |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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