Correlation Between Materials Select and Invesco SP
Can any of the company-specific risk be diversified away by investing in both Materials Select and Invesco SP 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 Materials Select and Invesco SP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Materials Select Sector and Invesco SP 500, you can compare the effects of market volatilities on Materials Select and Invesco SP 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 Materials Select with a short position of Invesco SP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Materials Select and Invesco SP.
Diversification Opportunities for Materials Select and Invesco SP
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Materials and Invesco is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Materials Select Sector and Invesco SP 500 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco SP 500 and Materials Select 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 Materials Select Sector are associated (or correlated) with Invesco SP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invesco SP 500 has no effect on the direction of Materials Select i.e., Materials Select and Invesco SP go up and down completely randomly.
Pair Corralation between Materials Select and Invesco SP
Considering the 90-day investment horizon Materials Select Sector is expected to under-perform the Invesco SP. But the etf apears to be less risky and, when comparing its historical volatility, Materials Select Sector is 1.09 times less risky than Invesco SP. The etf trades about -0.22 of its potential returns per unit of risk. The Invesco SP 500 is currently generating about -0.18 of returns per unit of risk over similar time horizon. If you would invest 3,688 in Invesco SP 500 on September 24, 2024 and sell it today you would lose (383.00) from holding Invesco SP 500 or give up 10.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Materials Select Sector vs. Invesco SP 500
Performance |
Timeline |
Materials Select Sector |
Invesco SP 500 |
Materials Select and Invesco SP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Materials Select and Invesco SP
The main advantage of trading using opposite Materials Select and Invesco SP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Materials Select position performs unexpectedly, Invesco SP 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 Invesco SP will offset losses from the drop in Invesco SP's long position.Materials Select vs. Industrial Select Sector | Materials Select vs. Consumer Discretionary Select | Materials Select vs. Consumer Staples Select | Materials Select vs. Utilities Select Sector |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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