Correlation Between Amazon and Hargreaves Lansdown
Can any of the company-specific risk be diversified away by investing in both Amazon and Hargreaves Lansdown 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 Amazon and Hargreaves Lansdown into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amazon Inc and Hargreaves Lansdown plc, you can compare the effects of market volatilities on Amazon and Hargreaves Lansdown 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 Amazon with a short position of Hargreaves Lansdown. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amazon and Hargreaves Lansdown.
Diversification Opportunities for Amazon and Hargreaves Lansdown
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Amazon and Hargreaves is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Amazon Inc and Hargreaves Lansdown plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hargreaves Lansdown plc and Amazon 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 Amazon Inc are associated (or correlated) with Hargreaves Lansdown. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hargreaves Lansdown plc has no effect on the direction of Amazon i.e., Amazon and Hargreaves Lansdown go up and down completely randomly.
Pair Corralation between Amazon and Hargreaves Lansdown
Assuming the 90 days trading horizon Amazon Inc is expected to generate 1.19 times more return on investment than Hargreaves Lansdown. However, Amazon is 1.19 times more volatile than Hargreaves Lansdown plc. It trades about 0.09 of its potential returns per unit of risk. Hargreaves Lansdown plc is currently generating about 0.04 per unit of risk. If you would invest 10,198 in Amazon Inc on September 26, 2024 and sell it today you would earn a total of 12,352 from holding Amazon Inc or generate 121.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Amazon Inc vs. Hargreaves Lansdown plc
Performance |
Timeline |
Amazon Inc |
Hargreaves Lansdown plc |
Amazon and Hargreaves Lansdown Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amazon and Hargreaves Lansdown
The main advantage of trading using opposite Amazon and Hargreaves Lansdown positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amazon position performs unexpectedly, Hargreaves Lansdown 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 Hargreaves Lansdown will offset losses from the drop in Hargreaves Lansdown's long position.Amazon vs. Toyota Motor Corp | Amazon vs. SoftBank Group Corp | Amazon vs. OTP Bank Nyrt | Amazon vs. Freeport McMoRan |
Hargreaves Lansdown vs. Samsung Electronics Co | Hargreaves Lansdown vs. Samsung Electronics Co | Hargreaves Lansdown vs. Hyundai Motor | Hargreaves Lansdown vs. Toyota Motor Corp |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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