Correlation Between Propel Holdings and Brompton European
Can any of the company-specific risk be diversified away by investing in both Propel Holdings and Brompton European 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 Propel Holdings and Brompton European into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Propel Holdings and Brompton European Dividend, you can compare the effects of market volatilities on Propel Holdings and Brompton European 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 Propel Holdings with a short position of Brompton European. Check out your portfolio center. Please also check ongoing floating volatility patterns of Propel Holdings and Brompton European.
Diversification Opportunities for Propel Holdings and Brompton European
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Propel and Brompton is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Propel Holdings and Brompton European Dividend in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brompton European and Propel Holdings 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 Propel Holdings are associated (or correlated) with Brompton European. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brompton European has no effect on the direction of Propel Holdings i.e., Propel Holdings and Brompton European go up and down completely randomly.
Pair Corralation between Propel Holdings and Brompton European
Assuming the 90 days trading horizon Propel Holdings is expected to under-perform the Brompton European. In addition to that, Propel Holdings is 3.59 times more volatile than Brompton European Dividend. It trades about -0.18 of its total potential returns per unit of risk. Brompton European Dividend is currently generating about 0.1 per unit of volatility. If you would invest 1,031 in Brompton European Dividend on December 24, 2024 and sell it today you would earn a total of 67.00 from holding Brompton European Dividend or generate 6.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Propel Holdings vs. Brompton European Dividend
Performance |
Timeline |
Propel Holdings |
Brompton European |
Propel Holdings and Brompton European Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Propel Holdings and Brompton European
The main advantage of trading using opposite Propel Holdings and Brompton European positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Propel Holdings position performs unexpectedly, Brompton European 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 Brompton European will offset losses from the drop in Brompton European's long position.Propel Holdings vs. Sangoma Technologies Corp | Propel Holdings vs. Vitalhub Corp | Propel Holdings vs. Converge Technology Solutions |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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