Correlation Between Templeton Dragon and John Hancock
Can any of the company-specific risk be diversified away by investing in both Templeton Dragon and John Hancock 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 Templeton Dragon and John Hancock into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Templeton Dragon Closed and John Hancock Financial, you can compare the effects of market volatilities on Templeton Dragon and John Hancock 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 Templeton Dragon with a short position of John Hancock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Templeton Dragon and John Hancock.
Diversification Opportunities for Templeton Dragon and John Hancock
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Templeton and John is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Templeton Dragon Closed and John Hancock Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on John Hancock Financial and Templeton Dragon 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 Templeton Dragon Closed are associated (or correlated) with John Hancock. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of John Hancock Financial has no effect on the direction of Templeton Dragon i.e., Templeton Dragon and John Hancock go up and down completely randomly.
Pair Corralation between Templeton Dragon and John Hancock
Considering the 90-day investment horizon Templeton Dragon Closed is expected to generate 1.7 times more return on investment than John Hancock. However, Templeton Dragon is 1.7 times more volatile than John Hancock Financial. It trades about 0.06 of its potential returns per unit of risk. John Hancock Financial is currently generating about 0.08 per unit of risk. If you would invest 790.00 in Templeton Dragon Closed on September 22, 2024 and sell it today you would earn a total of 71.00 from holding Templeton Dragon Closed or generate 8.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Templeton Dragon Closed vs. John Hancock Financial
Performance |
Timeline |
Templeton Dragon Closed |
John Hancock Financial |
Templeton Dragon and John Hancock Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Templeton Dragon and John Hancock
The main advantage of trading using opposite Templeton Dragon and John Hancock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Templeton Dragon position performs unexpectedly, John Hancock 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 John Hancock will offset losses from the drop in John Hancock's long position.Templeton Dragon vs. Central Europe Russia | Templeton Dragon vs. Morgan Stanley India | Templeton Dragon vs. Ashmore Group Plc | Templeton Dragon vs. Nuveen Missouri Quality |
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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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