Correlation Between Amazon and NEC
Can any of the company-specific risk be diversified away by investing in both Amazon and NEC 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 NEC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amazon Inc and NEC Corporation, you can compare the effects of market volatilities on Amazon and NEC 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 NEC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amazon and NEC.
Diversification Opportunities for Amazon and NEC
Very good diversification
The 3 months correlation between Amazon and NEC is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Amazon Inc and NEC Corp. in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NEC Corporation 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 NEC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NEC Corporation has no effect on the direction of Amazon i.e., Amazon and NEC go up and down completely randomly.
Pair Corralation between Amazon and NEC
Given the investment horizon of 90 days Amazon Inc is expected to under-perform the NEC. But the stock apears to be less risky and, when comparing its historical volatility, Amazon Inc is 2.58 times less risky than NEC. The stock trades about -0.1 of its potential returns per unit of risk. The NEC Corporation is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 8,647 in NEC Corporation on December 26, 2024 and sell it today you would earn a total of 1,958 from holding NEC Corporation or generate 22.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Amazon Inc vs. NEC Corp.
Performance |
Timeline |
Amazon Inc |
NEC Corporation |
Amazon and NEC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amazon and NEC
The main advantage of trading using opposite Amazon and NEC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amazon position performs unexpectedly, NEC 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 NEC will offset losses from the drop in NEC's long position.The idea behind Amazon Inc and NEC Corporation 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.NEC vs. Fujitsu Ltd ADR | NEC vs. NTT Data Corp | NEC vs. Nomura Research Institute | NEC vs. Fujitsu Limited |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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