Correlation Between Hong Kong and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Hong Kong 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 Kong 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 Kong Land and Dow Jones Industrial, you can compare the effects of market volatilities on Hong Kong 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 Kong with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hong Kong and Dow Jones.
Diversification Opportunities for Hong Kong and Dow Jones
Pay attention - limited upside
The 3 months correlation between Hong and Dow is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Hong Kong Land 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 Kong 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 Kong Land 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 Kong i.e., Hong Kong and Dow Jones go up and down completely randomly.
Pair Corralation between Hong Kong and Dow Jones
Assuming the 90 days trading horizon Hong Kong is expected to generate 8.76 times less return on investment than Dow Jones. But when comparing it to its historical volatility, Hong Kong Land is 5.18 times less risky than Dow Jones. It trades about 0.07 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 3,466,372 in Dow Jones Industrial on September 3, 2024 and sell it today you would earn a total of 1,011,828 from holding Dow Jones Industrial or generate 29.19% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 99.04% |
| Values | Daily Returns |
Hong Kong Land vs. Dow Jones Industrial
Performance |
| Timeline |
Hong Kong and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Hong Kong Land
Pair trading matchups for Hong Kong
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Hong Kong and Dow Jones
The main advantage of trading using opposite Hong Kong and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hong Kong 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.| Hong Kong vs. Neometals | Hong Kong vs. McEwen Mining | Hong Kong vs. CompuGroup Medical AG | Hong Kong vs. Wheaton Precious Metals |
| Dow Jones vs. Eastern Co | Dow Jones vs. Uber Technologies | Dow Jones vs. AKITA Drilling | Dow Jones vs. Chemours Co |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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