Correlation Between Microsoft and BNP Paribas
Can any of the company-specific risk be diversified away by investing in both Microsoft and BNP Paribas 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 Microsoft and BNP Paribas into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and BNP Paribas SA, you can compare the effects of market volatilities on Microsoft and BNP Paribas 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 Microsoft with a short position of BNP Paribas. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and BNP Paribas.
Diversification Opportunities for Microsoft and BNP Paribas
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Microsoft and BNP is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and BNP Paribas SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BNP Paribas SA and Microsoft 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 Microsoft are associated (or correlated) with BNP Paribas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BNP Paribas SA has no effect on the direction of Microsoft i.e., Microsoft and BNP Paribas go up and down completely randomly.
Pair Corralation between Microsoft and BNP Paribas
Assuming the 90 days trading horizon Microsoft is expected to generate 0.75 times more return on investment than BNP Paribas. However, Microsoft is 1.33 times less risky than BNP Paribas. It trades about 0.38 of its potential returns per unit of risk. BNP Paribas SA is currently generating about -0.07 per unit of risk. If you would invest 39,142 in Microsoft on September 17, 2024 and sell it today you would earn a total of 3,448 from holding Microsoft or generate 8.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. BNP Paribas SA
Performance |
Timeline |
Microsoft |
BNP Paribas SA |
Microsoft and BNP Paribas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and BNP Paribas
The main advantage of trading using opposite Microsoft and BNP Paribas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, BNP Paribas 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 BNP Paribas will offset losses from the drop in BNP Paribas' long position.The idea behind Microsoft and BNP Paribas SA pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.BNP Paribas vs. BNP PARIBAS ADR | BNP Paribas vs. Lloyds Banking Group | BNP Paribas vs. Crdit Agricole SA |
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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