Correlation Between Franklin Moderate and Old Westbury
Can any of the company-specific risk be diversified away by investing in both Franklin Moderate and Old Westbury 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 Franklin Moderate and Old Westbury into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Moderate Allocation and Old Westbury Large, you can compare the effects of market volatilities on Franklin Moderate and Old Westbury 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 Franklin Moderate with a short position of Old Westbury. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Moderate and Old Westbury.
Diversification Opportunities for Franklin Moderate and Old Westbury
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Franklin and Old is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Moderate Allocation and Old Westbury Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Old Westbury Large and Franklin Moderate 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 Franklin Moderate Allocation are associated (or correlated) with Old Westbury. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Old Westbury Large has no effect on the direction of Franklin Moderate i.e., Franklin Moderate and Old Westbury go up and down completely randomly.
Pair Corralation between Franklin Moderate and Old Westbury
Assuming the 90 days horizon Franklin Moderate Allocation is expected to generate 0.74 times more return on investment than Old Westbury. However, Franklin Moderate Allocation is 1.35 times less risky than Old Westbury. It trades about 0.06 of its potential returns per unit of risk. Old Westbury Large is currently generating about 0.04 per unit of risk. If you would invest 1,585 in Franklin Moderate Allocation on October 22, 2024 and sell it today you would earn a total of 10.00 from holding Franklin Moderate Allocation or generate 0.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Moderate Allocation vs. Old Westbury Large
Performance |
Timeline |
Franklin Moderate |
Old Westbury Large |
Franklin Moderate and Old Westbury Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Moderate and Old Westbury
The main advantage of trading using opposite Franklin Moderate and Old Westbury positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Moderate position performs unexpectedly, Old Westbury 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 Old Westbury will offset losses from the drop in Old Westbury's long position.Franklin Moderate vs. Fidelity Small Cap | Franklin Moderate vs. Lsv Small Cap | Franklin Moderate vs. Mid Cap Value Profund | Franklin Moderate vs. Applied Finance Explorer |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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