Correlation Between Microsoft and Polledo SA
Can any of the company-specific risk be diversified away by investing in both Microsoft and Polledo 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 Microsoft and Polledo SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Polledo SA, you can compare the effects of market volatilities on Microsoft and Polledo 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 Microsoft with a short position of Polledo SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Polledo SA.
Diversification Opportunities for Microsoft and Polledo SA
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Microsoft and Polledo is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Polledo SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polledo 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 Polledo SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polledo SA has no effect on the direction of Microsoft i.e., Microsoft and Polledo SA go up and down completely randomly.
Pair Corralation between Microsoft and Polledo SA
Given the investment horizon of 90 days Microsoft is expected to generate 0.5 times more return on investment than Polledo SA. However, Microsoft is 2.0 times less risky than Polledo SA. It trades about 0.05 of its potential returns per unit of risk. Polledo SA is currently generating about -0.13 per unit of risk. If you would invest 43,048 in Microsoft on September 16, 2024 and sell it today you would earn a total of 1,679 from holding Microsoft or generate 3.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.46% |
Values | Daily Returns |
Microsoft vs. Polledo SA
Performance |
Timeline |
Microsoft |
Polledo SA |
Microsoft and Polledo SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Polledo SA
The main advantage of trading using opposite Microsoft and Polledo SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Polledo 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 Polledo SA will offset losses from the drop in Polledo SA's long position.Microsoft vs. Global Blue Group | Microsoft vs. Aurora Mobile | Microsoft vs. Marqeta | Microsoft vs. Nextnav Acquisition Corp |
Polledo SA vs. Dycasa SA | Polledo SA vs. American Express Co | Polledo SA vs. QUALCOMM Incorporated | Polledo SA vs. United States Steel |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Other Complementary Tools
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
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 Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |