Correlation Between Amazon and Nasdaq 100
Can any of the company-specific risk be diversified away by investing in both Amazon and Nasdaq 100 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 Nasdaq 100 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amazon Inc and Nasdaq 100, you can compare the effects of market volatilities on Amazon and Nasdaq 100 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 Nasdaq 100. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amazon and Nasdaq 100.
Diversification Opportunities for Amazon and Nasdaq 100
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Amazon and Nasdaq is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Amazon Inc and Nasdaq 100 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nasdaq 100 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 Nasdaq 100. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nasdaq 100 has no effect on the direction of Amazon i.e., Amazon and Nasdaq 100 go up and down completely randomly.
Pair Corralation between Amazon and Nasdaq 100
Given the investment horizon of 90 days Amazon Inc is expected to generate 1.68 times more return on investment than Nasdaq 100. However, Amazon is 1.68 times more volatile than Nasdaq 100. It trades about 0.18 of its potential returns per unit of risk. Nasdaq 100 is currently generating about 0.11 per unit of risk. If you would invest 19,160 in Amazon Inc on September 20, 2024 and sell it today you would earn a total of 3,955 from holding Amazon Inc or generate 20.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.44% |
Values | Daily Returns |
Amazon Inc vs. Nasdaq 100
Performance |
Timeline |
Amazon and Nasdaq 100 Volatility Contrast
Predicted Return Density |
Returns |
Amazon Inc
Pair trading matchups for Amazon
Nasdaq 100
Pair trading matchups for Nasdaq 100
Pair Trading with Amazon and Nasdaq 100
The main advantage of trading using opposite Amazon and Nasdaq 100 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amazon position performs unexpectedly, Nasdaq 100 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 Nasdaq 100 will offset losses from the drop in Nasdaq 100's long position.The idea behind Amazon Inc and Nasdaq 100 pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Nasdaq 100 vs. Valneva SE ADR | Nasdaq 100 vs. NETGEAR | Nasdaq 100 vs. Toro Co | Nasdaq 100 vs. Western Digital |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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