Correlation Between BIST Electricity and China Securities

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

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

Diversification Opportunities for BIST Electricity and China Securities

-0.57

Correlation Coefficient

BIST Electricity  China Securities

Excellent diversification

The 3 months correlation between BIST and China is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding BIST Electricity 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 BIST Electricity 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 BIST Electricity 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 BIST Electricity i.e., BIST Electricity and China Securities go up and down completely randomly.

Pair Corralation between BIST Electricity and China Securities

Assuming the 90 days trading horizon BIST Electricity is expected to under-perform the China Securities. But the index apears to be less risky and, when comparing its historical volatility, BIST Electricity is 1.56 times less risky than China Securities. The index trades about -0.04 of its potential returns per unit of risk. The China Securities 800 is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest  353,107  in China Securities 800 on August 30, 2024 and sell it today you would earn a total of  68,474  from holding China Securities 800 or generate 19.39% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	93.55%
Values	Daily Returns

BIST Electricity  vs.  China Securities 800

Pair Trading with BIST Electricity and China Securities

The main advantage of trading using opposite BIST Electricity and China Securities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BIST Electricity 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 BIST Electricity 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.