Correlation Between Materials Select and Mast Global
Can any of the company-specific risk be diversified away by investing in both Materials Select and Mast Global 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 Mast Global 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 Mast Global Battery, you can compare the effects of market volatilities on Materials Select and Mast Global 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 Mast Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Materials Select and Mast Global.
Diversification Opportunities for Materials Select and Mast Global
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Materials and Mast is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Materials Select Sector and Mast Global Battery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mast Global Battery 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 Mast Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mast Global Battery has no effect on the direction of Materials Select i.e., Materials Select and Mast Global go up and down completely randomly.
Pair Corralation between Materials Select and Mast Global
Considering the 90-day investment horizon Materials Select Sector is expected to generate 0.04 times more return on investment than Mast Global. However, Materials Select Sector is 27.28 times less risky than Mast Global. It trades about -0.61 of its potential returns per unit of risk. Mast Global Battery is currently generating about -0.22 per unit of risk. If you would invest 9,423 in Materials Select Sector on October 1, 2024 and sell it today you would lose (929.00) from holding Materials Select Sector or give up 9.86% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Materials Select Sector vs. Mast Global Battery
Performance |
Timeline |
Materials Select Sector |
Mast Global Battery |
Materials Select and Mast Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Materials Select and Mast Global
The main advantage of trading using opposite Materials Select and Mast Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Materials Select position performs unexpectedly, Mast Global 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 Mast Global will offset losses from the drop in Mast Global'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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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