Correlation Between Intel and Coca Cola

Can any of the company-specific risk be diversified away by investing in both Intel and Coca Cola 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 Intel and Coca Cola into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Intel and Coca Cola FEMSA SAB, you can compare the effects of market volatilities on Intel and Coca Cola 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 Intel with a short position of Coca Cola. Check out your portfolio center. Please also check ongoing floating volatility patterns of Intel and Coca Cola.

Diversification Opportunities for Intel and Coca Cola

-0.41

Correlation Coefficient

Intel  Coca Cola

Very good diversification

The 3 months correlation between Intel and Coca is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding Intel and Coca Cola FEMSA SAB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coca Cola FEMSA and Intel 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 Intel are associated (or correlated) with Coca Cola. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coca Cola FEMSA has no effect on the direction of Intel i.e., Intel and Coca Cola go up and down completely randomly.

Pair Corralation between Intel and Coca Cola

Assuming the 90 days trading horizon Intel is expected to generate 1.16 times more return on investment than Coca Cola. However, Intel is 1.16 times more volatile than Coca Cola FEMSA SAB. It trades about 0.08 of its potential returns per unit of risk. Coca Cola FEMSA SAB is currently generating about 0.0 per unit of risk. If you would invest  1,977  in Intel on September 2, 2024 and sell it today you would earn a total of  275.00  from holding Intel or generate 13.91% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

Intel  vs.  Coca Cola FEMSA SAB

Intel

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Intel are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile essential indicators, Intel unveiled solid returns over the last few months and may actually be approaching a breakup point.

Coca Cola FEMSA

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Coca Cola FEMSA SAB has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Coca Cola is not utilizing all of its potentials. The newest stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with Intel and Coca Cola

The main advantage of trading using opposite Intel and Coca Cola positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Intel position performs unexpectedly, Coca Cola 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 Coca Cola will offset losses from the drop in Coca Cola's long position.

The idea behind Intel and Coca Cola FEMSA SAB 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.

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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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.