Correlation Between ITALIAN WINE and American Electric
Can any of the company-specific risk be diversified away by investing in both ITALIAN WINE and American Electric 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 ITALIAN WINE and American Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ITALIAN WINE BRANDS and American Electric Power, you can compare the effects of market volatilities on ITALIAN WINE and American Electric 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 ITALIAN WINE with a short position of American Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of ITALIAN WINE and American Electric.
Diversification Opportunities for ITALIAN WINE and American Electric
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between ITALIAN and American is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding ITALIAN WINE BRANDS and American Electric Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Electric Power and ITALIAN WINE 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 ITALIAN WINE BRANDS are associated (or correlated) with American Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Electric Power has no effect on the direction of ITALIAN WINE i.e., ITALIAN WINE and American Electric go up and down completely randomly.
Pair Corralation between ITALIAN WINE and American Electric
Assuming the 90 days horizon ITALIAN WINE BRANDS is expected to generate 1.51 times more return on investment than American Electric. However, ITALIAN WINE is 1.51 times more volatile than American Electric Power. It trades about 0.06 of its potential returns per unit of risk. American Electric Power is currently generating about -0.02 per unit of risk. If you would invest 2,130 in ITALIAN WINE BRANDS on October 10, 2024 and sell it today you would earn a total of 110.00 from holding ITALIAN WINE BRANDS or generate 5.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.31% |
Values | Daily Returns |
ITALIAN WINE BRANDS vs. American Electric Power
Performance |
Timeline |
ITALIAN WINE BRANDS |
American Electric Power |
ITALIAN WINE and American Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ITALIAN WINE and American Electric
The main advantage of trading using opposite ITALIAN WINE and American Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ITALIAN WINE position performs unexpectedly, American Electric 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 American Electric will offset losses from the drop in American Electric's long position.ITALIAN WINE vs. Austevoll Seafood ASA | ITALIAN WINE vs. Aluminum of | ITALIAN WINE vs. BG Foods | ITALIAN WINE vs. Ebro Foods SA |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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