Correlation Between Dow Jones and POWR Lithium
Can any of the company-specific risk be diversified away by investing in both Dow Jones and POWR Lithium 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 POWR Lithium 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 POWR Lithium Corp, you can compare the effects of market volatilities on Dow Jones and POWR Lithium 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 POWR Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and POWR Lithium.
Diversification Opportunities for Dow Jones and POWR Lithium
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Dow and POWR is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and POWR Lithium Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on POWR Lithium Corp 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 POWR Lithium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of POWR Lithium Corp has no effect on the direction of Dow Jones i.e., Dow Jones and POWR Lithium go up and down completely randomly.
Pair Corralation between Dow Jones and POWR Lithium
Assuming the 90 days trading horizon Dow Jones is expected to generate 46.33 times less return on investment than POWR Lithium. But when comparing it to its historical volatility, Dow Jones Industrial is 86.3 times less risky than POWR Lithium. It trades about 0.24 of its potential returns per unit of risk. POWR Lithium Corp is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 4.10 in POWR Lithium Corp on September 6, 2024 and sell it today you would lose (0.28) from holding POWR Lithium Corp or give up 6.83% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Dow Jones Industrial vs. POWR Lithium Corp
Performance |
Timeline |
Dow Jones and POWR Lithium Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
POWR Lithium Corp
Pair trading matchups for POWR Lithium
Pair Trading with Dow Jones and POWR Lithium
The main advantage of trading using opposite Dow Jones and POWR Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, POWR Lithium 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 POWR Lithium will offset losses from the drop in POWR Lithium's long position.Dow Jones vs. WiMi Hologram Cloud | Dow Jones vs. Aehr Test Systems | Dow Jones vs. CarsalesCom Ltd ADR | Dow Jones vs. WPP PLC ADR |
POWR Lithium vs. Sanyo Special Steel | POWR Lithium vs. Insteel Industries | POWR Lithium vs. Valneva SE ADR | POWR Lithium vs. BioNTech SE |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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