Correlation Between U Ming and Chung Hwa

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

By analyzing existing cross correlation between U Ming Marine Transport and Chung Hwa Food, you can compare the effects of market volatilities on U Ming and Chung Hwa 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 U Ming with a short position of Chung Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of U Ming and Chung Hwa.

Diversification Opportunities for U Ming and Chung Hwa

-0.09

Correlation Coefficient

U Ming  Chung Hwa

Good diversification

The 3 months correlation between 2606 and Chung is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding U Ming Marine Transport and Chung Hwa Food in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Hwa Food and U Ming 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 U Ming Marine Transport are associated (or correlated) with Chung Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chung Hwa Food has no effect on the direction of U Ming i.e., U Ming and Chung Hwa go up and down completely randomly.

Pair Corralation between U Ming and Chung Hwa

Assuming the 90 days trading horizon U Ming Marine Transport is expected to under-perform the Chung Hwa. In addition to that, U Ming is 7.77 times more volatile than Chung Hwa Food. It trades about -0.04 of its total potential returns per unit of risk. Chung Hwa Food is currently generating about -0.14 per unit of volatility. If you would invest  8,800  in Chung Hwa Food on October 4, 2024 and sell it today you would lose (60.00) from holding Chung Hwa Food or give up 0.68% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	95.65%
Values	Daily Returns

U Ming Marine Transport  vs.  Chung Hwa Food

U Ming Marine

Risk-Adjusted Performance

3 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in U Ming Marine Transport are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of fairly stable basic indicators, U Ming is not utilizing all of its potentials. The latest stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

Chung Hwa Food

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Chung Hwa Food has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly stable basic indicators, Chung Hwa is not utilizing all of its potentials. The latest stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

Pair Trading with U Ming and Chung Hwa

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

The idea behind U Ming Marine Transport and Chung Hwa Food 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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.