Correlation Between MF Bancorp and Hang Seng

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

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

Diversification Opportunities for MF Bancorp and Hang Seng

-0.53

Correlation Coefficient

MF Bancorp  Hang Seng

Excellent diversification

The 3 months correlation between MFBP and Hang is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding MF Bancorp and Hang Seng Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hang Seng Bank and MF Bancorp 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 MF Bancorp are associated (or correlated) with Hang Seng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hang Seng Bank has no effect on the direction of MF Bancorp i.e., MF Bancorp and Hang Seng go up and down completely randomly.

Pair Corralation between MF Bancorp and Hang Seng

Given the investment horizon of 90 days MF Bancorp is expected to generate 12.37 times less return on investment than Hang Seng. In addition to that, MF Bancorp is 1.97 times more volatile than Hang Seng Bank. It trades about 0.01 of its total potential returns per unit of risk. Hang Seng Bank is currently generating about 0.17 per unit of volatility. If you would invest  1,173  in Hang Seng Bank on December 19, 2024 and sell it today you would earn a total of  217.00  from holding Hang Seng Bank or generate 18.5% return on investment over 90 days.

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

MF Bancorp  vs.  Hang Seng Bank

MF Bancorp

Risk-Adjusted Performance

Very Weak

Over the last 90 days MF Bancorp has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable fundamental drivers, MF Bancorp is not utilizing all of its potentials. The newest stock price agitation, may contribute to short-term losses for the retail investors.

Hang Seng Bank

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Hang Seng Bank are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak technical and fundamental indicators, Hang Seng showed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with MF Bancorp and Hang Seng

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

The idea behind MF Bancorp and Hang Seng 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.