Correlation Between China Securities and Trina Solar

Can any of the company-specific risk be diversified away by investing in both China Securities and Trina Solar 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 China Securities and Trina Solar into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between China Securities 800 and Trina Solar Co, you can compare the effects of market volatilities on China Securities and Trina Solar 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 China Securities with a short position of Trina Solar. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Securities and Trina Solar.

Diversification Opportunities for China Securities and Trina Solar

0.88

Correlation Coefficient

China Securities  Trina Solar

Very poor diversification

The 3 months correlation between China and Trina is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding China Securities 800 and Trina Solar Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Trina Solar and China Securities 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 China Securities 800 are associated (or correlated) with Trina Solar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Trina Solar has no effect on the direction of China Securities i.e., China Securities and Trina Solar go up and down completely randomly.

Pair Corralation between China Securities and Trina Solar

Assuming the 90 days trading horizon China Securities 800 is expected to generate 0.39 times more return on investment than Trina Solar. However, China Securities 800 is 2.57 times less risky than Trina Solar. It trades about 0.05 of its potential returns per unit of risk. Trina Solar Co is currently generating about 0.0 per unit of risk. If you would invest  367,834  in China Securities 800 on September 20, 2024 and sell it today you would earn a total of  58,417  from holding China Securities 800 or generate 15.88% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	100.0%
Values	Daily Returns

China Securities 800  vs.  Trina Solar Co

Pair Trading with China Securities and Trina Solar

The main advantage of trading using opposite China Securities and Trina Solar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Securities position performs unexpectedly, Trina Solar 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 Trina Solar will offset losses from the drop in Trina Solar's long position.

The idea behind China Securities 800 and Trina Solar 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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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.