Correlation Between InterContinental and Astral Foods
Can any of the company-specific risk be diversified away by investing in both InterContinental and Astral Foods 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 InterContinental and Astral Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between InterContinental Hotels Group and Astral Foods Limited, you can compare the effects of market volatilities on InterContinental and Astral Foods 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 InterContinental with a short position of Astral Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of InterContinental and Astral Foods.
Diversification Opportunities for InterContinental and Astral Foods
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between InterContinental and Astral is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding InterContinental Hotels Group and Astral Foods Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Astral Foods Limited and InterContinental 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 InterContinental Hotels Group are associated (or correlated) with Astral Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Astral Foods Limited has no effect on the direction of InterContinental i.e., InterContinental and Astral Foods go up and down completely randomly.
Pair Corralation between InterContinental and Astral Foods
Assuming the 90 days trading horizon InterContinental Hotels Group is expected to generate 1.22 times more return on investment than Astral Foods. However, InterContinental is 1.22 times more volatile than Astral Foods Limited. It trades about 0.1 of its potential returns per unit of risk. Astral Foods Limited is currently generating about -0.03 per unit of risk. If you would invest 11,600 in InterContinental Hotels Group on September 23, 2024 and sell it today you would earn a total of 400.00 from holding InterContinental Hotels Group or generate 3.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
InterContinental Hotels Group vs. Astral Foods Limited
Performance |
Timeline |
InterContinental Hotels |
Astral Foods Limited |
InterContinental and Astral Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with InterContinental and Astral Foods
The main advantage of trading using opposite InterContinental and Astral Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if InterContinental position performs unexpectedly, Astral Foods 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 Astral Foods will offset losses from the drop in Astral Foods' long position.InterContinental vs. PLAYTIKA HOLDING DL 01 | InterContinental vs. The Trade Desk | InterContinental vs. TRADELINK ELECTRON | InterContinental vs. ZINC MEDIA GR |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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