Correlation Between G Bits and Hua Xia

Can any of the company-specific risk be diversified away by investing in both G Bits and Hua Xia 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 G Bits and Hua Xia into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between G bits Network Technology and Hua Xia Bank, you can compare the effects of market volatilities on G Bits and Hua Xia 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 G Bits with a short position of Hua Xia. Check out your portfolio center. Please also check ongoing floating volatility patterns of G Bits and Hua Xia.

Diversification Opportunities for G Bits and Hua Xia

0.39

Correlation Coefficient

G Bits  Hua Xia

Weak diversification

The 3 months correlation between 603444 and Hua is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding G bits Network Technology and Hua Xia Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hua Xia Bank and G Bits 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 G bits Network Technology are associated (or correlated) with Hua Xia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hua Xia Bank has no effect on the direction of G Bits i.e., G Bits and Hua Xia go up and down completely randomly.

Pair Corralation between G Bits and Hua Xia

Assuming the 90 days trading horizon G bits Network Technology is expected to generate 2.0 times more return on investment than Hua Xia. However, G Bits is 2.0 times more volatile than Hua Xia Bank. It trades about 0.15 of its potential returns per unit of risk. Hua Xia Bank is currently generating about 0.29 per unit of risk. If you would invest  20,500  in G bits Network Technology on September 28, 2024 and sell it today you would earn a total of  1,489  from holding G bits Network Technology or generate 7.26% return on investment over 90 days.

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

G bits Network Technology  vs.  Hua Xia Bank

G bits Network

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days G bits Network Technology has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest weak performance, the Stock's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.

Hua Xia Bank

Risk-Adjusted Performance

5 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Hua Xia Bank are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Hua Xia may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Pair Trading with G Bits and Hua Xia

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

The idea behind G bits Network Technology and Hua Xia Bank 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.