Correlation Between HDFC Bank and Marsh McLennan
Can any of the company-specific risk be diversified away by investing in both HDFC Bank and Marsh McLennan 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 HDFC Bank and Marsh McLennan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HDFC Bank Limited and Marsh McLennan Companies, you can compare the effects of market volatilities on HDFC Bank and Marsh McLennan 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 HDFC Bank with a short position of Marsh McLennan. Check out your portfolio center. Please also check ongoing floating volatility patterns of HDFC Bank and Marsh McLennan.
Diversification Opportunities for HDFC Bank and Marsh McLennan
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between HDFC and Marsh is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding HDFC Bank Limited and Marsh McLennan Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marsh McLennan Companies and HDFC Bank 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 HDFC Bank Limited are associated (or correlated) with Marsh McLennan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marsh McLennan Companies has no effect on the direction of HDFC Bank i.e., HDFC Bank and Marsh McLennan go up and down completely randomly.
Pair Corralation between HDFC Bank and Marsh McLennan
Considering the 90-day investment horizon HDFC Bank Limited is expected to generate 0.75 times more return on investment than Marsh McLennan. However, HDFC Bank Limited is 1.34 times less risky than Marsh McLennan. It trades about 0.01 of its potential returns per unit of risk. Marsh McLennan Companies is currently generating about -0.14 per unit of risk. If you would invest 3,634 in HDFC Bank Limited on August 26, 2025 and sell it today you would earn a total of 4.00 from holding HDFC Bank Limited or generate 0.11% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
HDFC Bank Limited vs. Marsh McLennan Companies
Performance |
| Timeline |
| HDFC Bank Limited |
| Marsh McLennan Companies |
HDFC Bank and Marsh McLennan Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with HDFC Bank and Marsh McLennan
The main advantage of trading using opposite HDFC Bank and Marsh McLennan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HDFC Bank position performs unexpectedly, Marsh McLennan 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 Marsh McLennan will offset losses from the drop in Marsh McLennan's long position.| HDFC Bank vs. Datadog | HDFC Bank vs. Technology Telecommunication Acquisition | HDFC Bank vs. SmarTone Telecommunications Holdings | HDFC Bank vs. Comtech Telecommunications Corp |
| Marsh McLennan vs. Upper Street Marketing | Marsh McLennan vs. GOME Retail Holdings | Marsh McLennan vs. Fast Retailing Co | Marsh McLennan vs. Lippo Malls Indonesia |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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