Correlation Between Nien Hsing and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Nien Hsing 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 Nien Hsing and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nien Hsing Textile and Dow Jones Industrial, you can compare the effects of market volatilities on Nien Hsing 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 Nien Hsing with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nien Hsing and Dow Jones.
Diversification Opportunities for Nien Hsing and Dow Jones
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Nien and Dow is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Nien Hsing Textile 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 Nien Hsing 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 Nien Hsing Textile 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 Nien Hsing i.e., Nien Hsing and Dow Jones go up and down completely randomly.
Pair Corralation between Nien Hsing and Dow Jones
Assuming the 90 days trading horizon Nien Hsing Textile is expected to generate 1.05 times more return on investment than Dow Jones. However, Nien Hsing is 1.05 times more volatile than Dow Jones Industrial. It trades about 0.01 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.01 per unit of risk. If you would invest 1,990 in Nien Hsing Textile on September 21, 2024 and sell it today you would earn a total of 10.00 from holding Nien Hsing Textile or generate 0.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Nien Hsing Textile vs. Dow Jones Industrial
Performance |
Timeline |
Nien Hsing and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Nien Hsing Textile
Pair trading matchups for Nien Hsing
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Nien Hsing and Dow Jones
The main advantage of trading using opposite Nien Hsing and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nien Hsing 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.Nien Hsing vs. Tainan Enterprises Co | Nien Hsing vs. De Licacy Industrial | Nien Hsing vs. Taiwan Styrene Monomer | Nien Hsing vs. Kaulin Mfg |
Dow Jones vs. Kinsale Capital Group | Dow Jones vs. QBE Insurance Group | Dow Jones vs. ICC Holdings | Dow Jones vs. Weyco Group |
Check out your portfolio center.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 Global Correlations module to find global opportunities by holding instruments from different markets.
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