Correlation Between Astar and Consumer Goods
Can any of the company-specific risk be diversified away by investing in both Astar and Consumer Goods 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 Astar and Consumer Goods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Astar and Consumer Goods Ultrasector, you can compare the effects of market volatilities on Astar and Consumer Goods 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 Astar with a short position of Consumer Goods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Astar and Consumer Goods.
Diversification Opportunities for Astar and Consumer Goods
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Astar and Consumer is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Astar and Consumer Goods Ultrasector in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Consumer Goods Ultra and Astar 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 Astar are associated (or correlated) with Consumer Goods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Consumer Goods Ultra has no effect on the direction of Astar i.e., Astar and Consumer Goods go up and down completely randomly.
Pair Corralation between Astar and Consumer Goods
Assuming the 90 days trading horizon Astar is expected to generate 8.17 times more return on investment than Consumer Goods. However, Astar is 8.17 times more volatile than Consumer Goods Ultrasector. It trades about 0.01 of its potential returns per unit of risk. Consumer Goods Ultrasector is currently generating about 0.01 per unit of risk. If you would invest 7.90 in Astar on November 2, 2024 and sell it today you would lose (2.93) from holding Astar or give up 37.09% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 60.32% |
| Values | Daily Returns |
Astar vs. Consumer Goods Ultrasector
Performance |
| Timeline |
| Astar |
| Consumer Goods Ultra |
Astar and Consumer Goods Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Astar and Consumer Goods
The main advantage of trading using opposite Astar and Consumer Goods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Astar position performs unexpectedly, Consumer Goods 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 Consumer Goods will offset losses from the drop in Consumer Goods' long position.The idea behind Astar and Consumer Goods Ultrasector pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Consumer Goods vs. Consumer Goods Ultrasector | Consumer Goods vs. Consumer Services Ultrasector | Consumer Goods vs. Ultramid Cap Profund Ultramid Cap | Consumer Goods vs. Internet Ultrasector Profund |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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