Correlation Between Taiwan Weighted and Chung Hwa

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Can any of the company-specific risk be diversified away by investing in both Taiwan Weighted 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 Taiwan Weighted and Chung Hwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Taiwan Weighted and Chung Hwa Pulp, you can compare the effects of market volatilities on Taiwan Weighted 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 Taiwan Weighted with a short position of Chung Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Taiwan Weighted and Chung Hwa.

Diversification Opportunities for Taiwan Weighted and Chung Hwa

-0.48
  Correlation Coefficient

Very good diversification

The 3 months correlation between Taiwan and Chung is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Taiwan Weighted and Chung Hwa Pulp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Hwa Pulp and Taiwan Weighted 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 Taiwan Weighted 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 Pulp has no effect on the direction of Taiwan Weighted i.e., Taiwan Weighted and Chung Hwa go up and down completely randomly.
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Pair Corralation between Taiwan Weighted and Chung Hwa

Assuming the 90 days trading horizon Taiwan Weighted is expected to generate 0.48 times more return on investment than Chung Hwa. However, Taiwan Weighted is 2.07 times less risky than Chung Hwa. It trades about 0.1 of its potential returns per unit of risk. Chung Hwa Pulp is currently generating about 0.02 per unit of risk. If you would invest  1,408,502  in Taiwan Weighted on September 19, 2024 and sell it today you would earn a total of  908,365  from holding Taiwan Weighted or generate 64.49% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy98.75%
ValuesDaily Returns

Taiwan Weighted  vs.  Chung Hwa Pulp

 Performance 
       Timeline  

Taiwan Weighted and Chung Hwa Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Taiwan Weighted and Chung Hwa

The main advantage of trading using opposite Taiwan Weighted and Chung Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Taiwan Weighted 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 Taiwan Weighted and Chung Hwa Pulp 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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.

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