Correlation Between Bank of China and 3onedata

Can any of the company-specific risk be diversified away by investing in both Bank of China and 3onedata 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 China and 3onedata into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Bank of China and 3onedata Co Ltd, you can compare the effects of market volatilities on Bank of China and 3onedata 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 China with a short position of 3onedata. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of China and 3onedata.

Diversification Opportunities for Bank of China and 3onedata

0.48

Correlation Coefficient

Bank of China  3onedata

Very weak diversification

The 3 months correlation between Bank and 3onedata is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Bank of China and 3onedata Co Ltd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on 3onedata and Bank of China 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 China are associated (or correlated) with 3onedata. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of 3onedata has no effect on the direction of Bank of China i.e., Bank of China and 3onedata go up and down completely randomly.

Pair Corralation between Bank of China and 3onedata

Assuming the 90 days trading horizon Bank of China is expected to generate 0.46 times more return on investment than 3onedata. However, Bank of China is 2.16 times less risky than 3onedata. It trades about 0.31 of its potential returns per unit of risk. 3onedata Co Ltd is currently generating about -0.06 per unit of risk. If you would invest  498.00  in Bank of China on September 20, 2024 and sell it today you would earn a total of  30.00  from holding Bank of China or generate 6.02% return on investment over 90 days.

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

Bank of China  vs.  3onedata Co Ltd

Bank of China

Risk-Adjusted Performance

12 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Bank of China are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Bank of China sustained solid returns over the last few months and may actually be approaching a breakup point.

3onedata

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in 3onedata Co Ltd are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, 3onedata sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Bank of China and 3onedata

The main advantage of trading using opposite Bank of China and 3onedata positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of China position performs unexpectedly, 3onedata 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 3onedata will offset losses from the drop in 3onedata's long position.

The idea behind Bank of China and 3onedata Co Ltd 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.