Correlation Between Coca Cola and Data Knights
Can any of the company-specific risk be diversified away by investing in both Coca Cola and Data Knights 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 Data Knights 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 Data Knights Acquisition, you can compare the effects of market volatilities on Coca Cola and Data Knights 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 Data Knights. Check out your portfolio center. Please also check ongoing floating volatility patterns of Coca Cola and Data Knights.
Diversification Opportunities for Coca Cola and Data Knights
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Coca and Data is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding The Coca Cola and Data Knights Acquisition in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data Knights Acquisition 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 Data Knights. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data Knights Acquisition has no effect on the direction of Coca Cola i.e., Coca Cola and Data Knights go up and down completely randomly.
Pair Corralation between Coca Cola and Data Knights
Allowing for the 90-day total investment horizon Coca Cola is expected to generate 2.31 times less return on investment than Data Knights. In addition to that, Coca Cola is 3.09 times more volatile than Data Knights Acquisition. It trades about 0.02 of its total potential returns per unit of risk. Data Knights Acquisition is currently generating about 0.14 per unit of volatility. If you would invest 1,044 in Data Knights Acquisition on August 26, 2024 and sell it today you would earn a total of 61.00 from holding Data Knights Acquisition or generate 5.84% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 31.99% |
| Values | Daily Returns |
The Coca Cola vs. Data Knights Acquisition
Performance |
| Timeline |
| Coca Cola |
| Data Knights Acquisition |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Coca Cola and Data Knights Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Coca Cola and Data Knights
The main advantage of trading using opposite Coca Cola and Data Knights positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Coca Cola position performs unexpectedly, Data Knights 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 Data Knights will offset losses from the drop in Data Knights' long position.The idea behind The Coca Cola and Data Knights Acquisition 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.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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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