Correlation Between Microsoft and Tesla
Can any of the company-specific risk be diversified away by investing in both Microsoft and Tesla 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 Tesla into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Tesla Inc, you can compare the effects of market volatilities on Microsoft and Tesla 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 Tesla. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Tesla.
Diversification Opportunities for Microsoft and Tesla
Poor diversification
The 3 months correlation between Microsoft and Tesla is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Tesla Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tesla Inc 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 Tesla. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tesla Inc has no effect on the direction of Microsoft i.e., Microsoft and Tesla go up and down completely randomly.
Pair Corralation between Microsoft and Tesla
Assuming the 90 days trading horizon Microsoft is expected to generate 11.7 times less return on investment than Tesla. But when comparing it to its historical volatility, Microsoft is 2.57 times less risky than Tesla. It trades about 0.04 of its potential returns per unit of risk. Tesla Inc is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 520,285 in Tesla Inc on October 29, 2024 and sell it today you would earn a total of 303,462 from holding Tesla Inc or generate 58.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. Tesla Inc
Performance |
Timeline |
Microsoft |
Tesla Inc |
Microsoft and Tesla Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Tesla
The main advantage of trading using opposite Microsoft and Tesla positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Tesla 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 Tesla will offset losses from the drop in Tesla's long position.Microsoft vs. Costco Wholesale | Microsoft vs. Cognizant Technology Solutions | Microsoft vs. Grupo Hotelero Santa | Microsoft vs. Martin Marietta Materials |
Tesla vs. GMxico Transportes SAB | Tesla vs. Micron Technology | Tesla vs. Grupo Sports World | Tesla vs. KB Home |
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 Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Other Complementary Tools
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities |