Correlation Between Berkshire Hathaway and Eco Oil
Can any of the company-specific risk be diversified away by investing in both Berkshire Hathaway and Eco Oil 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 Berkshire Hathaway and Eco Oil into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Berkshire Hathaway and Eco Oil Gas, you can compare the effects of market volatilities on Berkshire Hathaway and Eco Oil 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 Berkshire Hathaway with a short position of Eco Oil. Check out your portfolio center. Please also check ongoing floating volatility patterns of Berkshire Hathaway and Eco Oil.
Diversification Opportunities for Berkshire Hathaway and Eco Oil
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Berkshire and Eco is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Berkshire Hathaway and Eco Oil Gas in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eco Oil Gas and Berkshire Hathaway 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 Berkshire Hathaway are associated (or correlated) with Eco Oil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eco Oil Gas has no effect on the direction of Berkshire Hathaway i.e., Berkshire Hathaway and Eco Oil go up and down completely randomly.
Pair Corralation between Berkshire Hathaway and Eco Oil
Assuming the 90 days horizon Berkshire Hathaway is expected to under-perform the Eco Oil. But the stock apears to be less risky and, when comparing its historical volatility, Berkshire Hathaway is 6.83 times less risky than Eco Oil. The stock trades about 0.0 of its potential returns per unit of risk. The Eco Oil Gas is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 16.00 in Eco Oil Gas on September 19, 2024 and sell it today you would lose (1.00) from holding Eco Oil Gas or give up 6.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Berkshire Hathaway vs. Eco Oil Gas
Performance |
Timeline |
Berkshire Hathaway |
Eco Oil Gas |
Berkshire Hathaway and Eco Oil Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Berkshire Hathaway and Eco Oil
The main advantage of trading using opposite Berkshire Hathaway and Eco Oil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Berkshire Hathaway position performs unexpectedly, Eco Oil 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 Eco Oil will offset losses from the drop in Eco Oil's long position.Berkshire Hathaway vs. American International Group | Berkshire Hathaway vs. Arch Capital Group | Berkshire Hathaway vs. Sun Life Financial | Berkshire Hathaway vs. Hartford Financial Services |
Eco Oil vs. POSCO Holdings | Eco Oil vs. Schweizerische Nationalbank | Eco Oil vs. Berkshire Hathaway | Eco Oil vs. Berkshire Hathaway |
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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