Correlation Between Semiconductor Manufacturing and Cinda Securities
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By analyzing existing cross correlation between Semiconductor Manufacturing Intl and Cinda Securities Co, you can compare the effects of market volatilities on Semiconductor Manufacturing and Cinda Securities 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 Semiconductor Manufacturing with a short position of Cinda Securities. Check out your portfolio center. Please also check ongoing floating volatility patterns of Semiconductor Manufacturing and Cinda Securities.
Diversification Opportunities for Semiconductor Manufacturing and Cinda Securities
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Semiconductor and Cinda is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Semiconductor Manufacturing In and Cinda Securities Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cinda Securities and Semiconductor Manufacturing 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 Semiconductor Manufacturing Intl are associated (or correlated) with Cinda Securities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cinda Securities has no effect on the direction of Semiconductor Manufacturing i.e., Semiconductor Manufacturing and Cinda Securities go up and down completely randomly.
Pair Corralation between Semiconductor Manufacturing and Cinda Securities
Assuming the 90 days trading horizon Semiconductor Manufacturing Intl is expected to generate 0.96 times more return on investment than Cinda Securities. However, Semiconductor Manufacturing Intl is 1.04 times less risky than Cinda Securities. It trades about 0.07 of its potential returns per unit of risk. Cinda Securities Co is currently generating about 0.03 per unit of risk. If you would invest 4,250 in Semiconductor Manufacturing Intl on October 10, 2024 and sell it today you would earn a total of 4,810 from holding Semiconductor Manufacturing Intl or generate 113.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 99.16% |
Values | Daily Returns |
Semiconductor Manufacturing In vs. Cinda Securities Co
Performance |
Timeline |
Semiconductor Manufacturing |
Cinda Securities |
Semiconductor Manufacturing and Cinda Securities Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Semiconductor Manufacturing and Cinda Securities
The main advantage of trading using opposite Semiconductor Manufacturing and Cinda Securities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Semiconductor Manufacturing position performs unexpectedly, Cinda Securities 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 Cinda Securities will offset losses from the drop in Cinda Securities' long position.The idea behind Semiconductor Manufacturing Intl and Cinda Securities Co 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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