Correlation Between Bank of Communications and Gohigh Data

Can any of the company-specific risk be diversified away by investing in both Bank of Communications and Gohigh Data 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 Bank of Communications and Gohigh Data into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Bank of Communications and Gohigh Data Networks, you can compare the effects of market volatilities on Bank of Communications and Gohigh Data 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 Bank of Communications with a short position of Gohigh Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Communications and Gohigh Data.

Diversification Opportunities for Bank of Communications and Gohigh Data

-0.38

Correlation Coefficient

Bank of Communications  Gohigh Data

Very good diversification

The 3 months correlation between Bank and Gohigh is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Communications and Gohigh Data Networks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gohigh Data Networks and Bank of Communications 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 Bank of Communications are associated (or correlated) with Gohigh Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gohigh Data Networks has no effect on the direction of Bank of Communications i.e., Bank of Communications and Gohigh Data go up and down completely randomly.

Pair Corralation between Bank of Communications and Gohigh Data

Assuming the 90 days trading horizon Bank of Communications is expected to generate 0.35 times more return on investment than Gohigh Data. However, Bank of Communications is 2.89 times less risky than Gohigh Data. It trades about -0.22 of its potential returns per unit of risk. Gohigh Data Networks is currently generating about -0.2 per unit of risk. If you would invest  768.00  in Bank of Communications on October 22, 2024 and sell it today you would lose (40.00) from holding Bank of Communications or give up 5.21% of portfolio value over 90 days.

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

Bank of Communications  vs.  Gohigh Data Networks

Bank of Communications

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Bank of Communications has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Bank of Communications is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Gohigh Data Networks

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Gohigh Data Networks has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Gohigh Data is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Bank of Communications and Gohigh Data

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

The idea behind Bank of Communications and Gohigh Data Networks 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.