Correlation Between Large Pany and American Beacon
Can any of the company-specific risk be diversified away by investing in both Large Pany and American Beacon 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 Large Pany and American Beacon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Large Pany Value and American Beacon Large, you can compare the effects of market volatilities on Large Pany and American Beacon 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 Large Pany with a short position of American Beacon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Large Pany and American Beacon.
Diversification Opportunities for Large Pany and American Beacon
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Large and American is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Large Pany Value and American Beacon Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Beacon Large and Large Pany 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 Large Pany Value are associated (or correlated) with American Beacon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Beacon Large has no effect on the direction of Large Pany i.e., Large Pany and American Beacon go up and down completely randomly.
Pair Corralation between Large Pany and American Beacon
Assuming the 90 days horizon Large Pany Value is expected to generate 0.67 times more return on investment than American Beacon. However, Large Pany Value is 1.49 times less risky than American Beacon. It trades about -0.36 of its potential returns per unit of risk. American Beacon Large is currently generating about -0.34 per unit of risk. If you would invest 1,156 in Large Pany Value on September 29, 2024 and sell it today you would lose (145.00) from holding Large Pany Value or give up 12.54% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
Large Pany Value vs. American Beacon Large
Performance |
Timeline |
Large Pany Value |
American Beacon Large |
Large Pany and American Beacon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Large Pany and American Beacon
The main advantage of trading using opposite Large Pany and American Beacon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Large Pany position performs unexpectedly, American Beacon 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 Beacon will offset losses from the drop in American Beacon's long position.Large Pany vs. Ultra Fund I | Large Pany vs. Equity Growth Fund | Large Pany vs. International Growth Fund | Large Pany vs. Growth Fund I |
American Beacon vs. American Beacon Ssi | American Beacon vs. American Beacon Bridgeway | American Beacon vs. American Beacon Bridgeway | American Beacon vs. American Beacon Twentyfour |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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