Correlation Between Hang Seng and Intesa Sanpaolo
Can any of the company-specific risk be diversified away by investing in both Hang Seng and Intesa Sanpaolo 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 Hang Seng and Intesa Sanpaolo into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hang Seng Bank and Intesa Sanpaolo SpA, you can compare the effects of market volatilities on Hang Seng and Intesa Sanpaolo 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 Hang Seng with a short position of Intesa Sanpaolo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hang Seng and Intesa Sanpaolo.
Diversification Opportunities for Hang Seng and Intesa Sanpaolo
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Hang and Intesa is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Hang Seng Bank and Intesa Sanpaolo SpA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Intesa Sanpaolo SpA and Hang Seng 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 Hang Seng Bank are associated (or correlated) with Intesa Sanpaolo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Intesa Sanpaolo SpA has no effect on the direction of Hang Seng i.e., Hang Seng and Intesa Sanpaolo go up and down completely randomly.
Pair Corralation between Hang Seng and Intesa Sanpaolo
Assuming the 90 days horizon Hang Seng is expected to generate 2.04 times less return on investment than Intesa Sanpaolo. In addition to that, Hang Seng is 1.15 times more volatile than Intesa Sanpaolo SpA. It trades about 0.13 of its total potential returns per unit of risk. Intesa Sanpaolo SpA is currently generating about 0.3 per unit of volatility. If you would invest 2,419 in Intesa Sanpaolo SpA on December 28, 2024 and sell it today you would earn a total of 761.00 from holding Intesa Sanpaolo SpA or generate 31.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Hang Seng Bank vs. Intesa Sanpaolo SpA
Performance |
Timeline |
Hang Seng Bank |
Intesa Sanpaolo SpA |
Hang Seng and Intesa Sanpaolo Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hang Seng and Intesa Sanpaolo
The main advantage of trading using opposite Hang Seng and Intesa Sanpaolo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hang Seng position performs unexpectedly, Intesa Sanpaolo 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 Intesa Sanpaolo will offset losses from the drop in Intesa Sanpaolo's long position.Hang Seng vs. Caixabank SA ADR | Hang Seng vs. Commercial International Bank | Hang Seng vs. PT Bank Rakyat | Hang Seng vs. Riverview Bancorp |
Intesa Sanpaolo vs. Banco Do Brasil | Intesa Sanpaolo vs. KBC Groep NV | Intesa Sanpaolo vs. Credit Agricole SA | Intesa Sanpaolo vs. BNP Paribas SA |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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