Correlation Between IShares India and Columbia India
Can any of the company-specific risk be diversified away by investing in both IShares India and Columbia India 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 IShares India and Columbia India into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares India 50 and Columbia India Consumer, you can compare the effects of market volatilities on IShares India and Columbia India 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 IShares India with a short position of Columbia India. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares India and Columbia India.
Diversification Opportunities for IShares India and Columbia India
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between IShares and Columbia is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding iShares India 50 and Columbia India Consumer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia India Consumer and IShares India 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 iShares India 50 are associated (or correlated) with Columbia India. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia India Consumer has no effect on the direction of IShares India i.e., IShares India and Columbia India go up and down completely randomly.
Pair Corralation between IShares India and Columbia India
Given the investment horizon of 90 days iShares India 50 is expected to generate 0.58 times more return on investment than Columbia India. However, iShares India 50 is 1.71 times less risky than Columbia India. It trades about -0.29 of its potential returns per unit of risk. Columbia India Consumer is currently generating about -0.25 per unit of risk. If you would invest 5,143 in iShares India 50 on October 26, 2024 and sell it today you would lose (187.00) from holding iShares India 50 or give up 3.64% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
iShares India 50 vs. Columbia India Consumer
Performance |
Timeline |
iShares India 50 |
Columbia India Consumer |
IShares India and Columbia India Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares India and Columbia India
The main advantage of trading using opposite IShares India and Columbia India positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares India position performs unexpectedly, Columbia India 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 Columbia India will offset losses from the drop in Columbia India's long position.IShares India vs. iShares MSCI India | IShares India vs. Invesco India ETF | IShares India vs. iShares MSCI India | IShares India vs. WisdomTree India Earnings |
Columbia India vs. iShares MSCI India | Columbia India vs. iShares India 50 | Columbia India vs. Invesco India ETF | Columbia India vs. WisdomTree India Earnings |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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