Correlation Between Coca Cola and AdvisorShares Hotel
Can any of the company-specific risk be diversified away by investing in both Coca Cola and AdvisorShares Hotel 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 Coca Cola and AdvisorShares Hotel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Coca Cola and AdvisorShares Hotel ETF, you can compare the effects of market volatilities on Coca Cola and AdvisorShares Hotel 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 Coca Cola with a short position of AdvisorShares Hotel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Coca Cola and AdvisorShares Hotel.
Diversification Opportunities for Coca Cola and AdvisorShares Hotel
-0.91 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Coca and AdvisorShares is -0.91. Overlapping area represents the amount of risk that can be diversified away by holding The Coca Cola and AdvisorShares Hotel ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AdvisorShares Hotel ETF and Coca Cola 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 The Coca Cola are associated (or correlated) with AdvisorShares Hotel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AdvisorShares Hotel ETF has no effect on the direction of Coca Cola i.e., Coca Cola and AdvisorShares Hotel go up and down completely randomly.
Pair Corralation between Coca Cola and AdvisorShares Hotel
Allowing for the 90-day total investment horizon Coca Cola is expected to generate 7.35 times less return on investment than AdvisorShares Hotel. But when comparing it to its historical volatility, The Coca Cola is 1.38 times less risky than AdvisorShares Hotel. It trades about 0.03 of its potential returns per unit of risk. AdvisorShares Hotel ETF is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 3,253 in AdvisorShares Hotel ETF on September 20, 2024 and sell it today you would earn a total of 147.01 from holding AdvisorShares Hotel ETF or generate 4.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
The Coca Cola vs. AdvisorShares Hotel ETF
Performance |
Timeline |
Coca Cola |
AdvisorShares Hotel ETF |
Coca Cola and AdvisorShares Hotel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Coca Cola and AdvisorShares Hotel
The main advantage of trading using opposite Coca Cola and AdvisorShares Hotel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Coca Cola position performs unexpectedly, AdvisorShares Hotel 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 AdvisorShares Hotel will offset losses from the drop in AdvisorShares Hotel's long position.Coca Cola vs. Monster Beverage Corp | Coca Cola vs. Celsius Holdings | Coca Cola vs. Coca Cola Consolidated | Coca Cola vs. Keurig Dr Pepper |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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