Correlation Between Tesla and NOV
Can any of the company-specific risk be diversified away by investing in both Tesla and NOV 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 NOV into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tesla Inc and NOV Inc, you can compare the effects of market volatilities on Tesla and NOV 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 NOV. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tesla and NOV.
Diversification Opportunities for Tesla and NOV
Poor diversification
The 3 months correlation between Tesla and NOV is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Tesla Inc and NOV Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NOV Inc 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 NOV. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NOV Inc has no effect on the direction of Tesla i.e., Tesla and NOV go up and down completely randomly.
Pair Corralation between Tesla and NOV
Assuming the 90 days trading horizon Tesla Inc is expected to generate 81.56 times more return on investment than NOV. However, Tesla is 81.56 times more volatile than NOV Inc. It trades about 0.21 of its potential returns per unit of risk. NOV Inc is currently generating about 0.13 per unit of risk. If you would invest 484,316 in Tesla Inc on September 23, 2024 and sell it today you would earn a total of 370,317 from holding Tesla Inc or generate 76.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.41% |
Values | Daily Returns |
Tesla Inc vs. NOV Inc
Performance |
Timeline |
Tesla Inc |
NOV Inc |
Tesla and NOV Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tesla and NOV
The main advantage of trading using opposite Tesla and NOV positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tesla position performs unexpectedly, NOV 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 NOV will offset losses from the drop in NOV's long position.Tesla vs. KB Home | Tesla vs. Grupo Sports World | Tesla vs. UnitedHealth Group Incorporated | Tesla vs. Ameriprise Financial |
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 Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Other Complementary Tools
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |