Correlation Between Manitou BF and Stef SA
Can any of the company-specific risk be diversified away by investing in both Manitou BF and Stef SA 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 Manitou BF and Stef SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Manitou BF SA and Stef SA, you can compare the effects of market volatilities on Manitou BF and Stef SA 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 Manitou BF with a short position of Stef SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Manitou BF and Stef SA.
Diversification Opportunities for Manitou BF and Stef SA
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Manitou and Stef is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Manitou BF SA and Stef SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stef SA and Manitou BF 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 Manitou BF SA are associated (or correlated) with Stef SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stef SA has no effect on the direction of Manitou BF i.e., Manitou BF and Stef SA go up and down completely randomly.
Pair Corralation between Manitou BF and Stef SA
Assuming the 90 days trading horizon Manitou BF SA is expected to under-perform the Stef SA. In addition to that, Manitou BF is 1.94 times more volatile than Stef SA. It trades about -0.23 of its total potential returns per unit of risk. Stef SA is currently generating about -0.25 per unit of volatility. If you would invest 13,740 in Stef SA on September 1, 2024 and sell it today you would lose (740.00) from holding Stef SA or give up 5.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Manitou BF SA vs. Stef SA
Performance |
Timeline |
Manitou BF SA |
Stef SA |
Manitou BF and Stef SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Manitou BF and Stef SA
The main advantage of trading using opposite Manitou BF and Stef SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Manitou BF position performs unexpectedly, Stef SA 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 Stef SA will offset losses from the drop in Stef SA's long position.Manitou BF vs. Haulotte Group SA | Manitou BF vs. Trigano SA | Manitou BF vs. Bnteau SA | Manitou BF vs. Derichebourg |
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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.
Other Complementary Tools
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |