Correlation Between John Hancock and Applied Finance
Can any of the company-specific risk be diversified away by investing in both John Hancock and Applied Finance 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 John Hancock and Applied Finance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between John Hancock Ii and Applied Finance Explorer, you can compare the effects of market volatilities on John Hancock and Applied Finance 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 John Hancock with a short position of Applied Finance. Check out your portfolio center. Please also check ongoing floating volatility patterns of John Hancock and Applied Finance.
Diversification Opportunities for John Hancock and Applied Finance
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between John and Applied is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding John Hancock Ii and Applied Finance Explorer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applied Finance Explorer and John Hancock 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 John Hancock Ii are associated (or correlated) with Applied Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Applied Finance Explorer has no effect on the direction of John Hancock i.e., John Hancock and Applied Finance go up and down completely randomly.
Pair Corralation between John Hancock and Applied Finance
Assuming the 90 days horizon John Hancock Ii is expected to under-perform the Applied Finance. But the mutual fund apears to be less risky and, when comparing its historical volatility, John Hancock Ii is 1.02 times less risky than Applied Finance. The mutual fund trades about -0.08 of its potential returns per unit of risk. The Applied Finance Explorer is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest 2,201 in Applied Finance Explorer on December 26, 2024 and sell it today you would lose (73.00) from holding Applied Finance Explorer or give up 3.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
John Hancock Ii vs. Applied Finance Explorer
Performance |
Timeline |
John Hancock Ii |
Applied Finance Explorer |
John Hancock and Applied Finance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with John Hancock and Applied Finance
The main advantage of trading using opposite John Hancock and Applied Finance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if John Hancock position performs unexpectedly, Applied Finance 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 Applied Finance will offset losses from the drop in Applied Finance's long position.John Hancock vs. Sdit Short Duration | John Hancock vs. Rbc Funds Trust | John Hancock vs. Government Securities Fund | John Hancock vs. Us Government Securities |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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