Correlation Between Microsoft and L Brands
Can any of the company-specific risk be diversified away by investing in both Microsoft and L Brands 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 L Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and L Brands, you can compare the effects of market volatilities on Microsoft and L Brands 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 L Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and L Brands.
Diversification Opportunities for Microsoft and L Brands
Pay attention - limited upside
The 3 months correlation between Microsoft and L Brands is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and L Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on L Brands 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 L Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of L Brands has no effect on the direction of Microsoft i.e., Microsoft and L Brands go up and down completely randomly.
Pair Corralation between Microsoft and L Brands
If you would invest 37,285 in Microsoft on January 20, 2024 and sell it today you would earn a total of 2,627 from holding Microsoft or generate 7.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 0.0% |
Values | Daily Returns |
Microsoft vs. L Brands
Performance |
Timeline |
Microsoft |
L Brands |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Microsoft and L Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and L Brands
The main advantage of trading using opposite Microsoft and L Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, L Brands 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 L Brands will offset losses from the drop in L Brands' long position.Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated | Microsoft vs. Crowdstrike Holdings | Microsoft vs. Cloudflare |
L Brands vs. The Cheesecake Factory | L Brands vs. Diamond Offshore Drilling | L Brands vs. Repligen | L Brands vs. BJs Restaurants |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Other Complementary Tools
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios |