Correlation Between Hong Kong and Dun Bradstreet
Can any of the company-specific risk be diversified away by investing in both Hong Kong and Dun Bradstreet 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 Dun Bradstreet into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hong Kong Exchanges and Dun Bradstreet Holdings, you can compare the effects of market volatilities on Hong Kong and Dun Bradstreet 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 Dun Bradstreet. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hong Kong and Dun Bradstreet.
Diversification Opportunities for Hong Kong and Dun Bradstreet
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Hong and Dun is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Hong Kong Exchanges and Dun Bradstreet Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dun Bradstreet Holdings 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 Exchanges are associated (or correlated) with Dun Bradstreet. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dun Bradstreet Holdings has no effect on the direction of Hong Kong i.e., Hong Kong and Dun Bradstreet go up and down completely randomly.
Pair Corralation between Hong Kong and Dun Bradstreet
Assuming the 90 days horizon Hong Kong Exchanges is expected to generate 3.45 times more return on investment than Dun Bradstreet. However, Hong Kong is 3.45 times more volatile than Dun Bradstreet Holdings. It trades about 0.11 of its potential returns per unit of risk. Dun Bradstreet Holdings is currently generating about 0.1 per unit of risk. If you would invest 2,964 in Hong Kong Exchanges on September 20, 2024 and sell it today you would earn a total of 1,015 from holding Hong Kong Exchanges or generate 34.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hong Kong Exchanges vs. Dun Bradstreet Holdings
Performance |
Timeline |
Hong Kong Exchanges |
Dun Bradstreet Holdings |
Hong Kong and Dun Bradstreet Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hong Kong and Dun Bradstreet
The main advantage of trading using opposite Hong Kong and Dun Bradstreet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hong Kong position performs unexpectedly, Dun Bradstreet 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 Dun Bradstreet will offset losses from the drop in Dun Bradstreet's long position.Hong Kong vs. Singapore Exchange Limited | Hong Kong vs. London Stock Exchange | Hong Kong vs. MSCI Inc | Hong Kong vs. London Stock Exchange |
Dun Bradstreet vs. FactSet Research Systems | Dun Bradstreet vs. Moodys | Dun Bradstreet vs. MSCI Inc | Dun Bradstreet vs. Intercontinental Exchange |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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