Correlation Between Berkshire Hathaway and Johnson Matthey
Can any of the company-specific risk be diversified away by investing in both Berkshire Hathaway and Johnson Matthey 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 Johnson Matthey into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Berkshire Hathaway and Johnson Matthey PLC, you can compare the effects of market volatilities on Berkshire Hathaway and Johnson Matthey 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 Johnson Matthey. Check out your portfolio center. Please also check ongoing floating volatility patterns of Berkshire Hathaway and Johnson Matthey.
Diversification Opportunities for Berkshire Hathaway and Johnson Matthey
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Berkshire and Johnson is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Berkshire Hathaway and Johnson Matthey PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Johnson Matthey PLC 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 Johnson Matthey. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Johnson Matthey PLC has no effect on the direction of Berkshire Hathaway i.e., Berkshire Hathaway and Johnson Matthey go up and down completely randomly.
Pair Corralation between Berkshire Hathaway and Johnson Matthey
Assuming the 90 days trading horizon Berkshire Hathaway is expected to generate 1.76 times more return on investment than Johnson Matthey. However, Berkshire Hathaway is 1.76 times more volatile than Johnson Matthey PLC. It trades about 0.2 of its potential returns per unit of risk. Johnson Matthey PLC is currently generating about 0.0 per unit of risk. If you would invest 47,075 in Berkshire Hathaway on December 2, 2024 and sell it today you would earn a total of 3,575 from holding Berkshire Hathaway or generate 7.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Berkshire Hathaway vs. Johnson Matthey PLC
Performance |
Timeline |
Berkshire Hathaway |
Johnson Matthey PLC |
Berkshire Hathaway and Johnson Matthey Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Berkshire Hathaway and Johnson Matthey
The main advantage of trading using opposite Berkshire Hathaway and Johnson Matthey positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Berkshire Hathaway position performs unexpectedly, Johnson Matthey 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 Johnson Matthey will offset losses from the drop in Johnson Matthey's long position.Berkshire Hathaway vs. Home Depot | Berkshire Hathaway vs. American Homes 4 | Berkshire Hathaway vs. Verizon Communications | Berkshire Hathaway vs. Infrastrutture Wireless Italiane |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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