Correlation Between Taiwan Weighted and Nien Hsing

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

Diversification Opportunities for Taiwan Weighted and Nien Hsing

0.16
  Correlation Coefficient

Average diversification

The 3 months correlation between Taiwan and Nien is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Taiwan Weighted and Nien Hsing Textile in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nien Hsing Textile 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 Nien Hsing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nien Hsing Textile has no effect on the direction of Taiwan Weighted i.e., Taiwan Weighted and Nien Hsing go up and down completely randomly.
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Pair Corralation between Taiwan Weighted and Nien Hsing

Assuming the 90 days trading horizon Taiwan Weighted is expected to generate 1.04 times more return on investment than Nien Hsing. However, Taiwan Weighted is 1.04 times more volatile than Nien Hsing Textile. It trades about 0.06 of its potential returns per unit of risk. Nien Hsing Textile is currently generating about -0.19 per unit of risk. If you would invest  2,268,836  in Taiwan Weighted on September 21, 2024 and sell it today you would earn a total of  24,389  from holding Taiwan Weighted or generate 1.07% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Taiwan Weighted  vs.  Nien Hsing Textile

 Performance 
       Timeline  

Taiwan Weighted and Nien Hsing Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Taiwan Weighted and Nien Hsing

The main advantage of trading using opposite Taiwan Weighted and Nien Hsing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Taiwan Weighted position performs unexpectedly, Nien Hsing 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 Nien Hsing will offset losses from the drop in Nien Hsing's long position.
The idea behind Taiwan Weighted and Nien Hsing Textile 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

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