Correlation Between Microsoft and Bny Mellon
Can any of the company-specific risk be diversified away by investing in both Microsoft and Bny Mellon 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 Bny Mellon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Bny Mellon Small, you can compare the effects of market volatilities on Microsoft and Bny Mellon 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 Bny Mellon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Bny Mellon.
Diversification Opportunities for Microsoft and Bny Mellon
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Microsoft and Bny is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Bny Mellon Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bny Mellon Small 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 Bny Mellon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bny Mellon Small has no effect on the direction of Microsoft i.e., Microsoft and Bny Mellon go up and down completely randomly.
Pair Corralation between Microsoft and Bny Mellon
Given the investment horizon of 90 days Microsoft is expected to generate 1.14 times more return on investment than Bny Mellon. However, Microsoft is 1.14 times more volatile than Bny Mellon Small. It trades about 0.07 of its potential returns per unit of risk. Bny Mellon Small is currently generating about 0.06 per unit of risk. If you would invest 30,443 in Microsoft on August 30, 2024 and sell it today you would earn a total of 11,856 from holding Microsoft or generate 38.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. Bny Mellon Small
Performance |
Timeline |
Microsoft |
Bny Mellon Small |
Microsoft and Bny Mellon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Bny Mellon
The main advantage of trading using opposite Microsoft and Bny Mellon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Bny Mellon 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 Bny Mellon will offset losses from the drop in Bny Mellon's long position.Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
Bny Mellon vs. The Gabelli Small | Bny Mellon vs. Wasatch Small Cap | Bny Mellon vs. American Century Diversified | Bny Mellon vs. Tiaa Cref Small Cap Blend |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Other Complementary Tools
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Content Syndication Quickly integrate customizable finance content to your own investment portal |