Correlation Between Coca Cola and Caterpillar
Can any of the company-specific risk be diversified away by investing in both Coca Cola and Caterpillar 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 Caterpillar 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 Caterpillar, you can compare the effects of market volatilities on Coca Cola and Caterpillar 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 Caterpillar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Coca Cola and Caterpillar.
Diversification Opportunities for Coca Cola and Caterpillar
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Coca and Caterpillar is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding The Coca Cola and Caterpillar in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Caterpillar 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 Caterpillar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Caterpillar has no effect on the direction of Coca Cola i.e., Coca Cola and Caterpillar go up and down completely randomly.
Pair Corralation between Coca Cola and Caterpillar
Allowing for the 90-day total investment horizon The Coca Cola is expected to generate 0.38 times more return on investment than Caterpillar. However, The Coca Cola is 2.64 times less risky than Caterpillar. It trades about 0.3 of its potential returns per unit of risk. Caterpillar is currently generating about -0.19 per unit of risk. If you would invest 5,927 in The Coca Cola on February 6, 2024 and sell it today you would earn a total of 290.00 from holding The Coca Cola or generate 4.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
The Coca Cola vs. Caterpillar
Performance |
Timeline |
Coca Cola |
Caterpillar |
Coca Cola and Caterpillar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Coca Cola and Caterpillar
The main advantage of trading using opposite Coca Cola and Caterpillar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Coca Cola position performs unexpectedly, Caterpillar 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 Caterpillar will offset losses from the drop in Caterpillar'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 |
Caterpillar vs. AGCO Corporation | Caterpillar vs. CNH Industrial NV | Caterpillar vs. Deere Company | Caterpillar vs. Lindsay |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Other Complementary Tools
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments |