Correlation Between Amazon and AirbnbInc

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Amazon and AirbnbInc 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 AirbnbInc into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amazon Inc and AirbnbInc, you can compare the effects of market volatilities on Amazon and AirbnbInc 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 AirbnbInc. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amazon and AirbnbInc.

Diversification Opportunities for Amazon and AirbnbInc

0.87
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Amazon and AirbnbInc is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Amazon Inc and AirbnbInc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AirbnbInc 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 AirbnbInc. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AirbnbInc has no effect on the direction of Amazon i.e., Amazon and AirbnbInc go up and down completely randomly.

Pair Corralation between Amazon and AirbnbInc

Given the investment horizon of 90 days Amazon Inc is expected to under-perform the AirbnbInc. But the stock apears to be less risky and, when comparing its historical volatility, Amazon Inc is 1.47 times less risky than AirbnbInc. The stock trades about -0.03 of its potential returns per unit of risk. The AirbnbInc is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest  13,799  in AirbnbInc on September 7, 2022 and sell it today you would lose (3,948)  from holding AirbnbInc or give up 28.61% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Amazon Inc  vs.  AirbnbInc

 Performance (%) 
       Timeline  
Amazon Inc 
Amazon Performance
0 of 100
Over the last 90 days Amazon Inc has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's basic indicators remain quite persistent which may send shares a bit higher in January 2023. The latest mess may also be a sign of long-standing up-swing for the company institutional investors.

Amazon Price Channel

AirbnbInc 
AirbnbInc Performance
0 of 100
Over the last 90 days AirbnbInc has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest weak performance, the Stock's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.

AirbnbInc Price Channel

Amazon and AirbnbInc Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Amazon and AirbnbInc

The main advantage of trading using opposite Amazon and AirbnbInc positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amazon position performs unexpectedly, AirbnbInc 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 AirbnbInc will offset losses from the drop in AirbnbInc's long position.
Amazon vs. Bed Bath Beyond
Amazon vs. Best Buy Co
Amazon vs. Cisco Systems
Amazon vs. Chevron Corp
The idea behind Amazon Inc and AirbnbInc 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.
AirbnbInc vs. Coca Cola HBC
AirbnbInc vs. Britvic PLC ADR
AirbnbInc vs. Coca-Cola Femsa SAB
AirbnbInc vs. Keurig Dr Pepper
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.

Other Complementary Tools

Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
Go
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Go
Probability Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
Go
Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets
Go
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Go
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Go
ETF Directory
Find actively traded Exchange Traded Funds (ETF) from around the world
Go
Money Managers
Screen money managers from public funds and ETFs managed around the world
Go
Commodity Channel Index
Use Commodity Channel Index to analyze current equity momentum
Go
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
Go