Correlation Between Bank and BOC Hong

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

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

Diversification Opportunities for Bank and BOC Hong

0.0

Correlation Coefficient

Bank  BOC Hong

Pay attention - limited upside

The 3 months correlation between Bank and BOC is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Bank and BOC Hong Kong in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BOC Hong Kong and Bank 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 are associated (or correlated) with BOC Hong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BOC Hong Kong has no effect on the direction of Bank i.e., Bank and BOC Hong go up and down completely randomly.

Pair Corralation between Bank and BOC Hong

If you would invest  6,659  in BOC Hong Kong on December 27, 2024 and sell it today you would earn a total of  1,190  from holding BOC Hong Kong or generate 17.87% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

Bank  vs.  BOC Hong Kong

Bank

Risk-Adjusted Performance

Very Weak

Over the last 90 days Bank has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable essential indicators, Bank is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

BOC Hong Kong

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in BOC Hong Kong are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak essential indicators, BOC Hong showed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Bank and BOC Hong

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

The idea behind Bank and BOC Hong Kong 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.