Correlation Between Akanda Corp and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Akanda Corp and Dow Jones 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 Akanda Corp and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Akanda Corp and Dow Jones Industrial, you can compare the effects of market volatilities on Akanda Corp and Dow Jones 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 Akanda Corp with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Akanda Corp and Dow Jones.
Diversification Opportunities for Akanda Corp and Dow Jones
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Akanda and Dow is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Akanda Corp and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Akanda Corp 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 Akanda Corp are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Akanda Corp i.e., Akanda Corp and Dow Jones go up and down completely randomly.
Pair Corralation between Akanda Corp and Dow Jones
Given the investment horizon of 90 days Akanda Corp is expected to under-perform the Dow Jones. In addition to that, Akanda Corp is 13.08 times more volatile than Dow Jones Industrial. It trades about -0.05 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.08 per unit of volatility. If you would invest 3,347,646 in Dow Jones Industrial on August 30, 2024 and sell it today you would earn a total of 1,124,560 from holding Dow Jones Industrial or generate 33.59% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Akanda Corp vs. Dow Jones Industrial
Performance |
| Timeline |
Akanda Corp and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Akanda Corp
Pair trading matchups for Akanda Corp
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Akanda Corp and Dow Jones
The main advantage of trading using opposite Akanda Corp and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Akanda Corp position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| Akanda Corp vs. Phibro Animal Health | Akanda Corp vs. Procaps Group SA | Akanda Corp vs. Amphastar P | Akanda Corp vs. Alkermes Plc |
| Dow Jones vs. Kaltura | Dow Jones vs. Artisan Partners Asset | Dow Jones vs. US Global Investors | Dow Jones vs. Analog Devices |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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