Correlation Between MASI AGRICOLA and InterContinental
Can any of the company-specific risk be diversified away by investing in both MASI AGRICOLA and InterContinental 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 MASI AGRICOLA and InterContinental into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MASI AGRICOLA SPA and InterContinental Hotels Group, you can compare the effects of market volatilities on MASI AGRICOLA and InterContinental 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 MASI AGRICOLA with a short position of InterContinental. Check out your portfolio center. Please also check ongoing floating volatility patterns of MASI AGRICOLA and InterContinental.
Diversification Opportunities for MASI AGRICOLA and InterContinental
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between MASI and InterContinental is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding MASI AGRICOLA SPA and InterContinental Hotels Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on InterContinental Hotels and MASI AGRICOLA 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 MASI AGRICOLA SPA are associated (or correlated) with InterContinental. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of InterContinental Hotels has no effect on the direction of MASI AGRICOLA i.e., MASI AGRICOLA and InterContinental go up and down completely randomly.
Pair Corralation between MASI AGRICOLA and InterContinental
Assuming the 90 days horizon MASI AGRICOLA SPA is expected to generate 0.99 times more return on investment than InterContinental. However, MASI AGRICOLA SPA is 1.01 times less risky than InterContinental. It trades about -0.04 of its potential returns per unit of risk. InterContinental Hotels Group is currently generating about -0.18 per unit of risk. If you would invest 423.00 in MASI AGRICOLA SPA on December 25, 2024 and sell it today you would lose (18.00) from holding MASI AGRICOLA SPA or give up 4.26% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MASI AGRICOLA SPA vs. InterContinental Hotels Group
Performance |
Timeline |
MASI AGRICOLA SPA |
InterContinental Hotels |
MASI AGRICOLA and InterContinental Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MASI AGRICOLA and InterContinental
The main advantage of trading using opposite MASI AGRICOLA and InterContinental positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MASI AGRICOLA position performs unexpectedly, InterContinental 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 InterContinental will offset losses from the drop in InterContinental's long position.MASI AGRICOLA vs. GALENA MINING LTD | MASI AGRICOLA vs. MINCO SILVER | MASI AGRICOLA vs. PRECISION DRILLING P | MASI AGRICOLA vs. MCEWEN MINING INC |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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