Correlation Between Tesla and Vodafone Group
Can any of the company-specific risk be diversified away by investing in both Tesla and Vodafone Group 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 Tesla and Vodafone Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tesla Inc and Vodafone Group Plc, you can compare the effects of market volatilities on Tesla and Vodafone Group 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 Tesla with a short position of Vodafone Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tesla and Vodafone Group.
Diversification Opportunities for Tesla and Vodafone Group
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Tesla and Vodafone is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Tesla Inc and Vodafone Group Plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vodafone Group Plc and Tesla 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 Tesla Inc are associated (or correlated) with Vodafone Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vodafone Group Plc has no effect on the direction of Tesla i.e., Tesla and Vodafone Group go up and down completely randomly.
Pair Corralation between Tesla and Vodafone Group
Assuming the 90 days trading horizon Tesla Inc is expected to generate 2.57 times more return on investment than Vodafone Group. However, Tesla is 2.57 times more volatile than Vodafone Group Plc. It trades about 0.1 of its potential returns per unit of risk. Vodafone Group Plc is currently generating about 0.01 per unit of risk. If you would invest 218,405 in Tesla Inc on September 25, 2024 and sell it today you would earn a total of 650,138 from holding Tesla Inc or generate 297.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tesla Inc vs. Vodafone Group Plc
Performance |
Timeline |
Tesla Inc |
Vodafone Group Plc |
Tesla and Vodafone Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tesla and Vodafone Group
The main advantage of trading using opposite Tesla and Vodafone Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tesla position performs unexpectedly, Vodafone Group 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 Vodafone Group will offset losses from the drop in Vodafone Group's long position.The idea behind Tesla Inc and Vodafone Group Plc pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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