Correlation Between Keda Clean and China Securities

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

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

Diversification Opportunities for Keda Clean and China Securities

0.82

Correlation Coefficient

Keda Clean  China Securities

Very poor diversification

The 3 months correlation between Keda and China is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Keda Clean Energy and China Securities 800 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Securities 800 and Keda Clean 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 Keda Clean Energy are associated (or correlated) with China Securities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Securities 800 has no effect on the direction of Keda Clean i.e., Keda Clean and China Securities go up and down completely randomly.

Pair Corralation between Keda Clean and China Securities

Assuming the 90 days trading horizon Keda Clean Energy is expected to under-perform the China Securities. In addition to that, Keda Clean is 1.72 times more volatile than China Securities 800. It trades about -0.05 of its total potential returns per unit of risk. China Securities 800 is currently generating about 0.01 per unit of volatility. If you would invest  430,776  in China Securities 800 on September 26, 2024 and sell it today you would lose (1,051) from holding China Securities 800 or give up 0.24% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	99.79%
Values	Daily Returns

Keda Clean Energy  vs.  China Securities 800

Pair Trading with Keda Clean and China Securities

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

The idea behind Keda Clean Energy and China Securities 800 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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.