Correlation Between Kko International and Manitou BF
Can any of the company-specific risk be diversified away by investing in both Kko International and Manitou BF 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 Kko International and Manitou BF into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kko International SA and Manitou BF SA, you can compare the effects of market volatilities on Kko International and Manitou BF 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 Kko International with a short position of Manitou BF. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kko International and Manitou BF.
Diversification Opportunities for Kko International and Manitou BF
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Kko and Manitou is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Kko International SA and Manitou BF SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Manitou BF SA and Kko International 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 Kko International SA are associated (or correlated) with Manitou BF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Manitou BF SA has no effect on the direction of Kko International i.e., Kko International and Manitou BF go up and down completely randomly.
Pair Corralation between Kko International and Manitou BF
Assuming the 90 days trading horizon Kko International SA is expected to generate 2.95 times more return on investment than Manitou BF. However, Kko International is 2.95 times more volatile than Manitou BF SA. It trades about 0.02 of its potential returns per unit of risk. Manitou BF SA is currently generating about -0.02 per unit of risk. If you would invest 13.00 in Kko International SA on August 30, 2024 and sell it today you would lose (2.00) from holding Kko International SA or give up 15.38% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Kko International SA vs. Manitou BF SA
Performance |
| Timeline |
| Kko International |
| Manitou BF SA |
Kko International and Manitou BF Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kko International and Manitou BF
The main advantage of trading using opposite Kko International and Manitou BF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kko International position performs unexpectedly, Manitou BF 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 Manitou BF will offset losses from the drop in Manitou BF's long position.| Kko International vs. Agrogeneration | Kko International vs. Safe Orthopaedics SA | Kko International vs. DBT SA | Kko International vs. Acheter Louer |
| 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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