Correlation Between Sligro Food and Berkshire Hathaway
Can any of the company-specific risk be diversified away by investing in both Sligro Food and Berkshire Hathaway 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 Sligro Food and Berkshire Hathaway into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sligro Food Group and Berkshire Hathaway, you can compare the effects of market volatilities on Sligro Food and Berkshire Hathaway 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 Sligro Food with a short position of Berkshire Hathaway. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sligro Food and Berkshire Hathaway.
Diversification Opportunities for Sligro Food and Berkshire Hathaway
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Sligro and Berkshire is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Sligro Food Group and Berkshire Hathaway in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Berkshire Hathaway and Sligro Food 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 Sligro Food Group are associated (or correlated) with Berkshire Hathaway. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Berkshire Hathaway has no effect on the direction of Sligro Food i.e., Sligro Food and Berkshire Hathaway go up and down completely randomly.
Pair Corralation between Sligro Food and Berkshire Hathaway
Assuming the 90 days trading horizon Sligro Food Group is expected to under-perform the Berkshire Hathaway. In addition to that, Sligro Food is 1.17 times more volatile than Berkshire Hathaway. It trades about -0.25 of its total potential returns per unit of risk. Berkshire Hathaway is currently generating about 0.0 per unit of volatility. If you would invest 46,225 in Berkshire Hathaway on September 13, 2024 and sell it today you would lose (125.00) from holding Berkshire Hathaway or give up 0.27% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Sligro Food Group vs. Berkshire Hathaway
Performance |
| Timeline |
| Sligro Food Group |
| Berkshire Hathaway |
Sligro Food and Berkshire Hathaway Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sligro Food and Berkshire Hathaway
The main advantage of trading using opposite Sligro Food and Berkshire Hathaway positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sligro Food position performs unexpectedly, Berkshire Hathaway 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 Berkshire Hathaway will offset losses from the drop in Berkshire Hathaway's long position.| Sligro Food vs. Samsung Electronics Co | Sligro Food vs. Samsung Electronics Co | Sligro Food vs. Hyundai Motor | Sligro Food vs. Reliance Industries Ltd |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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