Correlation Between Asahi Kaisei and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Asahi Kaisei 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 Asahi Kaisei and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asahi Kaisei Corp and Dow Jones Industrial, you can compare the effects of market volatilities on Asahi Kaisei 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 Asahi Kaisei with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asahi Kaisei and Dow Jones.
Diversification Opportunities for Asahi Kaisei and Dow Jones
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Asahi and Dow is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Asahi Kaisei 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 Asahi Kaisei 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 Asahi Kaisei 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 Asahi Kaisei i.e., Asahi Kaisei and Dow Jones go up and down completely randomly.
Pair Corralation between Asahi Kaisei and Dow Jones
Assuming the 90 days horizon Asahi Kaisei Corp is expected to under-perform the Dow Jones. In addition to that, Asahi Kaisei is 1.66 times more volatile than Dow Jones Industrial. It trades about -0.04 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.06 per unit of volatility. If you would invest 4,340,847 in Dow Jones Industrial on November 20, 2024 and sell it today you would earn a total of 113,761 from holding Dow Jones Industrial or generate 2.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.33% |
Values | Daily Returns |
Asahi Kaisei Corp vs. Dow Jones Industrial
Performance |
Timeline |
Asahi Kaisei and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Asahi Kaisei Corp
Pair trading matchups for Asahi Kaisei
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Asahi Kaisei and Dow Jones
The main advantage of trading using opposite Asahi Kaisei and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asahi Kaisei 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.Asahi Kaisei vs. Altech Batteries Limited | Asahi Kaisei vs. Alumifuel Pwr Corp | Asahi Kaisei vs. ASP Isotopes Common | Asahi Kaisei vs. AdvanSix |
Dow Jones vs. Topbuild Corp | Dow Jones vs. Parker Hannifin | Dow Jones vs. CNA Financial | Dow Jones vs. Valmont Industries |
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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