Correlation Between Associated British and Marwyn Value
Can any of the company-specific risk be diversified away by investing in both Associated British and Marwyn Value 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 Associated British and Marwyn Value into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Associated British Foods and Marwyn Value Investors, you can compare the effects of market volatilities on Associated British and Marwyn Value 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 Associated British with a short position of Marwyn Value. Check out your portfolio center. Please also check ongoing floating volatility patterns of Associated British and Marwyn Value.
Diversification Opportunities for Associated British and Marwyn Value
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Associated and Marwyn is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Associated British Foods and Marwyn Value Investors in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marwyn Value Investors and Associated British 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 Associated British Foods are associated (or correlated) with Marwyn Value. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marwyn Value Investors has no effect on the direction of Associated British i.e., Associated British and Marwyn Value go up and down completely randomly.
Pair Corralation between Associated British and Marwyn Value
Assuming the 90 days trading horizon Associated British Foods is expected to generate 2.53 times more return on investment than Marwyn Value. However, Associated British is 2.53 times more volatile than Marwyn Value Investors. It trades about -0.02 of its potential returns per unit of risk. Marwyn Value Investors is currently generating about -0.41 per unit of risk. If you would invest 228,900 in Associated British Foods on September 4, 2024 and sell it today you would lose (1,700) from holding Associated British Foods or give up 0.74% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Associated British Foods vs. Marwyn Value Investors
Performance |
Timeline |
Associated British Foods |
Marwyn Value Investors |
Associated British and Marwyn Value Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Associated British and Marwyn Value
The main advantage of trading using opposite Associated British and Marwyn Value positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Associated British position performs unexpectedly, Marwyn Value 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 Marwyn Value will offset losses from the drop in Marwyn Value's long position.Associated British vs. Samsung Electronics Co | Associated British vs. Samsung Electronics Co | Associated British vs. Hyundai Motor | Associated British vs. Toyota Motor Corp |
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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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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