Correlation Between Tesla and MFS High
Can any of the company-specific risk be diversified away by investing in both Tesla and MFS High 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 MFS High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tesla Inc and MFS High Income, you can compare the effects of market volatilities on Tesla and MFS High 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 MFS High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tesla and MFS High.
Diversification Opportunities for Tesla and MFS High
Very good diversification
The 3 months correlation between Tesla and MFS is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Tesla Inc and MFS High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MFS High Income 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 MFS High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MFS High Income has no effect on the direction of Tesla i.e., Tesla and MFS High go up and down completely randomly.
Pair Corralation between Tesla and MFS High
Given the investment horizon of 90 days Tesla Inc is expected to generate 4.04 times more return on investment than MFS High. However, Tesla is 4.04 times more volatile than MFS High Income. It trades about 0.05 of its potential returns per unit of risk. MFS High Income is currently generating about 0.03 per unit of risk. If you would invest 19,476 in Tesla Inc on August 27, 2024 and sell it today you would earn a total of 15,780 from holding Tesla Inc or generate 81.02% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Tesla Inc vs. MFS High Income
Performance |
| Timeline |
| Tesla Inc |
| MFS High Income |
Tesla and MFS High Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Tesla and MFS High
The main advantage of trading using opposite Tesla and MFS High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tesla position performs unexpectedly, MFS High 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 MFS High will offset losses from the drop in MFS High's long position.The idea behind Tesla Inc and MFS High Income 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.| MFS High vs. MFS Investment Grade | MFS High vs. Eaton Vance National | MFS High vs. Invesco High Income | MFS High vs. Blackrock Muniholdings Ny |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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