Correlation Between Coca Cola and Katahdin Bankshares
Can any of the company-specific risk be diversified away by investing in both Coca Cola and Katahdin Bankshares 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 Katahdin Bankshares 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 Katahdin Bankshares Corp, you can compare the effects of market volatilities on Coca Cola and Katahdin Bankshares 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 Katahdin Bankshares. Check out your portfolio center. Please also check ongoing floating volatility patterns of Coca Cola and Katahdin Bankshares.
Diversification Opportunities for Coca Cola and Katahdin Bankshares
-0.9 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Coca and Katahdin is -0.9. Overlapping area represents the amount of risk that can be diversified away by holding The Coca Cola and Katahdin Bankshares Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Katahdin Bankshares Corp 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 Katahdin Bankshares. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Katahdin Bankshares Corp has no effect on the direction of Coca Cola i.e., Coca Cola and Katahdin Bankshares go up and down completely randomly.
Pair Corralation between Coca Cola and Katahdin Bankshares
Allowing for the 90-day total investment horizon The Coca Cola is expected to under-perform the Katahdin Bankshares. But the stock apears to be less risky and, when comparing its historical volatility, The Coca Cola is 1.61 times less risky than Katahdin Bankshares. The stock trades about -0.09 of its potential returns per unit of risk. The Katahdin Bankshares Corp is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 2,500 in Katahdin Bankshares Corp on October 8, 2024 and sell it today you would lose (25.00) from holding Katahdin Bankshares Corp or give up 1.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
The Coca Cola vs. Katahdin Bankshares Corp
Performance |
Timeline |
Coca Cola |
Katahdin Bankshares Corp |
Coca Cola and Katahdin Bankshares Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Coca Cola and Katahdin Bankshares
The main advantage of trading using opposite Coca Cola and Katahdin Bankshares positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Coca Cola position performs unexpectedly, Katahdin Bankshares 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 Katahdin Bankshares will offset losses from the drop in Katahdin Bankshares' long position.Coca Cola vs. Aquagold International | Coca Cola vs. Alibaba Group Holding | Coca Cola vs. Banco Bradesco SA | Coca Cola vs. HP Inc |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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