Correlation Between Microsoft and Bridgestone
Can any of the company-specific risk be diversified away by investing in both Microsoft and Bridgestone 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 Bridgestone into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Bridgestone, you can compare the effects of market volatilities on Microsoft and Bridgestone 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 Bridgestone. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Bridgestone.
Diversification Opportunities for Microsoft and Bridgestone
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Microsoft and Bridgestone is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Bridgestone in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bridgestone 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 Bridgestone. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bridgestone has no effect on the direction of Microsoft i.e., Microsoft and Bridgestone go up and down completely randomly.
Pair Corralation between Microsoft and Bridgestone
Given the investment horizon of 90 days Microsoft is expected to generate 1.26 times more return on investment than Bridgestone. However, Microsoft is 1.26 times more volatile than Bridgestone. It trades about 0.26 of its potential returns per unit of risk. Bridgestone is currently generating about 0.0 per unit of risk. If you would invest 42,435 in Microsoft on September 14, 2024 and sell it today you would earn a total of 2,521 from holding Microsoft or generate 5.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Microsoft vs. Bridgestone
Performance |
Timeline |
Microsoft |
Bridgestone |
Microsoft and Bridgestone Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Bridgestone
The main advantage of trading using opposite Microsoft and Bridgestone positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Bridgestone 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 Bridgestone will offset losses from the drop in Bridgestone's long position.Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
Bridgestone vs. Highlight Communications AG | Bridgestone vs. Tower One Wireless | Bridgestone vs. NEWELL RUBBERMAID | Bridgestone vs. Consolidated Communications Holdings |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Other Complementary Tools
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |