Correlation Between Automotive Stampings and Manaksia Coated
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By analyzing existing cross correlation between Automotive Stampings and and Manaksia Coated Metals, you can compare the effects of market volatilities on Automotive Stampings and Manaksia Coated 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 Automotive Stampings with a short position of Manaksia Coated. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automotive Stampings and Manaksia Coated.
Diversification Opportunities for Automotive Stampings and Manaksia Coated
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Automotive and Manaksia is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Automotive Stampings and and Manaksia Coated Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Manaksia Coated Metals and Automotive Stampings 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 Automotive Stampings and are associated (or correlated) with Manaksia Coated. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Manaksia Coated Metals has no effect on the direction of Automotive Stampings i.e., Automotive Stampings and Manaksia Coated go up and down completely randomly.
Pair Corralation between Automotive Stampings and Manaksia Coated
Assuming the 90 days trading horizon Automotive Stampings and is expected to under-perform the Manaksia Coated. But the stock apears to be less risky and, when comparing its historical volatility, Automotive Stampings and is 1.08 times less risky than Manaksia Coated. The stock trades about -0.09 of its potential returns per unit of risk. The Manaksia Coated Metals is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 6,964 in Manaksia Coated Metals on September 28, 2024 and sell it today you would earn a total of 3,725 from holding Manaksia Coated Metals or generate 53.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Automotive Stampings and vs. Manaksia Coated Metals
Performance |
Timeline |
Automotive Stampings and |
Manaksia Coated Metals |
Automotive Stampings and Manaksia Coated Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automotive Stampings and Manaksia Coated
The main advantage of trading using opposite Automotive Stampings and Manaksia Coated positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automotive Stampings position performs unexpectedly, Manaksia Coated 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 Manaksia Coated will offset losses from the drop in Manaksia Coated's long position.The idea behind Automotive Stampings and and Manaksia Coated Metals 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.
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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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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