Correlation Between Imperial Brands and Imperial Brands
Can any of the company-specific risk be diversified away by investing in both Imperial Brands and Imperial Brands 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 Imperial Brands and Imperial Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Imperial Brands PLC and Imperial Brands PLC, you can compare the effects of market volatilities on Imperial Brands and Imperial Brands 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 Imperial Brands with a short position of Imperial Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Imperial Brands and Imperial Brands.
Diversification Opportunities for Imperial Brands and Imperial Brands
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Imperial and Imperial is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Imperial Brands PLC and Imperial Brands PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Imperial Brands PLC and Imperial Brands 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 Imperial Brands PLC are associated (or correlated) with Imperial Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Imperial Brands PLC has no effect on the direction of Imperial Brands i.e., Imperial Brands and Imperial Brands go up and down completely randomly.
Pair Corralation between Imperial Brands and Imperial Brands
Assuming the 90 days trading horizon Imperial Brands is expected to generate 1.01 times less return on investment than Imperial Brands. But when comparing it to its historical volatility, Imperial Brands PLC is 1.01 times less risky than Imperial Brands. It trades about 0.14 of its potential returns per unit of risk. Imperial Brands PLC is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 1,992 in Imperial Brands PLC on September 23, 2024 and sell it today you would earn a total of 1,100 from holding Imperial Brands PLC or generate 55.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Imperial Brands PLC vs. Imperial Brands PLC
Performance |
Timeline |
Imperial Brands PLC |
Imperial Brands PLC |
Imperial Brands and Imperial Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Imperial Brands and Imperial Brands
The main advantage of trading using opposite Imperial Brands and Imperial Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Imperial Brands position performs unexpectedly, Imperial Brands 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 Imperial Brands will offset losses from the drop in Imperial Brands' long position.Imperial Brands vs. alstria office REIT AG | Imperial Brands vs. YOOMA WELLNESS INC | Imperial Brands vs. CVS Health | Imperial Brands vs. Coffee Holding Co |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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