Correlation Between Dow Jones and Polestar Automotive
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Polestar Automotive 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 Dow Jones and Polestar Automotive into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Polestar Automotive Holding, you can compare the effects of market volatilities on Dow Jones and Polestar Automotive 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 Dow Jones with a short position of Polestar Automotive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Polestar Automotive.
Diversification Opportunities for Dow Jones and Polestar Automotive
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Dow and Polestar is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Polestar Automotive Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polestar Automotive and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Polestar Automotive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polestar Automotive has no effect on the direction of Dow Jones i.e., Dow Jones and Polestar Automotive go up and down completely randomly.
Pair Corralation between Dow Jones and Polestar Automotive
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Polestar Automotive. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 14.87 times less risky than Polestar Automotive. The index trades about -0.04 of its potential returns per unit of risk. The Polestar Automotive Holding is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 14.00 in Polestar Automotive Holding on December 30, 2024 and sell it today you would earn a total of 4.00 from holding Polestar Automotive Holding or generate 28.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. Polestar Automotive Holding
Performance |
Timeline |
Dow Jones and Polestar Automotive Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Polestar Automotive Holding
Pair trading matchups for Polestar Automotive
Pair Trading with Dow Jones and Polestar Automotive
The main advantage of trading using opposite Dow Jones and Polestar Automotive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Polestar Automotive 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 Polestar Automotive will offset losses from the drop in Polestar Automotive's long position.Dow Jones vs. Highway Holdings Limited | Dow Jones vs. Companhia Siderurgica Nacional | Dow Jones vs. POSCO Holdings | Dow Jones vs. Grupo Simec SAB |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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