Correlation Between John Hancock and Guggenheim Mid
Can any of the company-specific risk be diversified away by investing in both John Hancock and Guggenheim Mid 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 Guggenheim Mid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between John Hancock Disciplined and Guggenheim Mid Cap, you can compare the effects of market volatilities on John Hancock and Guggenheim Mid 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 Guggenheim Mid. Check out your portfolio center. Please also check ongoing floating volatility patterns of John Hancock and Guggenheim Mid.
Diversification Opportunities for John Hancock and Guggenheim Mid
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between John and Guggenheim is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding John Hancock Disciplined and Guggenheim Mid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Mid Cap 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 Disciplined are associated (or correlated) with Guggenheim Mid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim Mid Cap has no effect on the direction of John Hancock i.e., John Hancock and Guggenheim Mid go up and down completely randomly.
Pair Corralation between John Hancock and Guggenheim Mid
Assuming the 90 days horizon John Hancock Disciplined is expected to generate 0.92 times more return on investment than Guggenheim Mid. However, John Hancock Disciplined is 1.09 times less risky than Guggenheim Mid. It trades about 0.25 of its potential returns per unit of risk. Guggenheim Mid Cap is currently generating about 0.16 per unit of risk. If you would invest 2,913 in John Hancock Disciplined on August 28, 2024 and sell it today you would earn a total of 170.00 from holding John Hancock Disciplined or generate 5.84% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
John Hancock Disciplined vs. Guggenheim Mid Cap
Performance |
| Timeline |
| John Hancock Disciplined |
| Guggenheim Mid Cap |
John Hancock and Guggenheim Mid Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with John Hancock and Guggenheim Mid
The main advantage of trading using opposite John Hancock and Guggenheim Mid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if John Hancock position performs unexpectedly, Guggenheim Mid 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 Guggenheim Mid will offset losses from the drop in Guggenheim Mid's long position.| John Hancock vs. John Hancock Disciplined | John Hancock vs. John Hancock Bond | John Hancock vs. Us Global Leaders | John Hancock vs. Mfs International Value |
| Guggenheim Mid vs. Nuveen Small Cap | Guggenheim Mid vs. Lebenthal Lisanti Small | Guggenheim Mid vs. Walthausen Small Cap | Guggenheim Mid vs. Hartford Schroders International |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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