Correlation Between NYSE Composite and ICICI Bank
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and ICICI Bank 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 NYSE Composite and ICICI Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and ICICI Bank Limited, you can compare the effects of market volatilities on NYSE Composite and ICICI Bank 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 NYSE Composite with a short position of ICICI Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and ICICI Bank.
Diversification Opportunities for NYSE Composite and ICICI Bank
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between NYSE and ICICI is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and ICICI Bank Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ICICI Bank Limited and NYSE Composite 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 NYSE Composite are associated (or correlated) with ICICI Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ICICI Bank Limited has no effect on the direction of NYSE Composite i.e., NYSE Composite and ICICI Bank go up and down completely randomly.
Pair Corralation between NYSE Composite and ICICI Bank
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.37 times more return on investment than ICICI Bank. However, NYSE Composite is 2.67 times less risky than ICICI Bank. It trades about 0.14 of its potential returns per unit of risk. ICICI Bank Limited is currently generating about 0.03 per unit of risk. If you would invest 1,950,122 in NYSE Composite on August 28, 2024 and sell it today you would earn a total of 71,823 from holding NYSE Composite or generate 3.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. ICICI Bank Limited
Performance |
Timeline |
NYSE Composite and ICICI Bank Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
ICICI Bank Limited
Pair trading matchups for ICICI Bank
Pair Trading with NYSE Composite and ICICI Bank
The main advantage of trading using opposite NYSE Composite and ICICI Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, ICICI Bank 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 ICICI Bank will offset losses from the drop in ICICI Bank's long position.NYSE Composite vs. Vita Coco | NYSE Composite vs. Franklin Wireless Corp | NYSE Composite vs. Ambev SA ADR | NYSE Composite vs. Toro Co |
ICICI Bank vs. Banco Santander Brasil | ICICI Bank vs. CrossFirst Bankshares | ICICI Bank vs. Banco Bradesco SA | ICICI Bank vs. CF Bankshares |
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 Stocks Directory module to find actively traded stocks across global markets.
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