Correlation Between Stock Index and Emerald Banking
Can any of the company-specific risk be diversified away by investing in both Stock Index and Emerald Banking 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 Stock Index and Emerald Banking into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stock Index Fund and Emerald Banking And, you can compare the effects of market volatilities on Stock Index and Emerald Banking 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 Stock Index with a short position of Emerald Banking. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stock Index and Emerald Banking.
Diversification Opportunities for Stock Index and Emerald Banking
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Stock and Emerald is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Stock Index Fund and Emerald Banking And in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerald Banking And and Stock Index 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 Stock Index Fund are associated (or correlated) with Emerald Banking. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emerald Banking And has no effect on the direction of Stock Index i.e., Stock Index and Emerald Banking go up and down completely randomly.
Pair Corralation between Stock Index and Emerald Banking
Assuming the 90 days horizon Stock Index Fund is expected to generate 0.7 times more return on investment than Emerald Banking. However, Stock Index Fund is 1.42 times less risky than Emerald Banking. It trades about -0.14 of its potential returns per unit of risk. Emerald Banking And is currently generating about -0.28 per unit of risk. If you would invest 4,411 in Stock Index Fund on October 8, 2024 and sell it today you would lose (116.00) from holding Stock Index Fund or give up 2.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Stock Index Fund vs. Emerald Banking And
Performance |
Timeline |
Stock Index Fund |
Emerald Banking And |
Stock Index and Emerald Banking Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stock Index and Emerald Banking
The main advantage of trading using opposite Stock Index and Emerald Banking positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stock Index position performs unexpectedly, Emerald Banking 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 Emerald Banking will offset losses from the drop in Emerald Banking's long position.Stock Index vs. Value Fund Value | Stock Index vs. Growth Fund Growth | Stock Index vs. International Equity Fund | Stock Index vs. Short Term Bond Fund |
Emerald Banking vs. Emerald Banking And | Emerald Banking vs. Emerald Banking And | Emerald Banking vs. Emerald Banking And | Emerald Banking vs. Emerald Growth Fund |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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