Correlation Between Hong Ho and Dow Jones

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

Diversification Opportunities for Hong Ho and Dow Jones

0.58
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Hong and Dow is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Hong Ho Precision and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Hong Ho 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 Hong Ho Precision are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Hong Ho i.e., Hong Ho and Dow Jones go up and down completely randomly.
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Pair Corralation between Hong Ho and Dow Jones

Assuming the 90 days trading horizon Hong Ho Precision is expected to generate 4.05 times more return on investment than Dow Jones. However, Hong Ho is 4.05 times more volatile than Dow Jones Industrial. It trades about 0.07 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.16 per unit of risk. If you would invest  4,775  in Hong Ho Precision on September 12, 2024 and sell it today you would earn a total of  515.00  from holding Hong Ho Precision or generate 10.79% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy98.41%
ValuesDaily Returns

Hong Ho Precision  vs.  Dow Jones Industrial

 Performance 
       Timeline  

Hong Ho and Dow Jones Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Hong Ho and Dow Jones

The main advantage of trading using opposite Hong Ho and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hong Ho position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.
The idea behind Hong Ho Precision and Dow Jones Industrial 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.

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