Correlation Between PNC Financial and Berkshire Hathaway
Can any of the company-specific risk be diversified away by investing in both PNC Financial 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 PNC Financial and Berkshire Hathaway into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PNC Financial Services and Berkshire Hathaway, you can compare the effects of market volatilities on PNC Financial 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 PNC Financial with a short position of Berkshire Hathaway. Check out your portfolio center. Please also check ongoing floating volatility patterns of PNC Financial and Berkshire Hathaway.
Diversification Opportunities for PNC Financial and Berkshire Hathaway
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between PNC and Berkshire is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding PNC Financial Services and Berkshire Hathaway in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Berkshire Hathaway and PNC Financial 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 PNC Financial Services 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 PNC Financial i.e., PNC Financial and Berkshire Hathaway go up and down completely randomly.
Pair Corralation between PNC Financial and Berkshire Hathaway
Assuming the 90 days trading horizon PNC Financial Services is expected to generate 1.78 times more return on investment than Berkshire Hathaway. However, PNC Financial is 1.78 times more volatile than Berkshire Hathaway. It trades about 0.05 of its potential returns per unit of risk. Berkshire Hathaway is currently generating about 0.09 per unit of risk. If you would invest 12,521 in PNC Financial Services on October 10, 2024 and sell it today you would earn a total of 6,179 from holding PNC Financial Services or generate 49.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
PNC Financial Services vs. Berkshire Hathaway
Performance |
Timeline |
PNC Financial Services |
Berkshire Hathaway |
PNC Financial and Berkshire Hathaway Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PNC Financial and Berkshire Hathaway
The main advantage of trading using opposite PNC Financial and Berkshire Hathaway positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PNC Financial 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.PNC Financial vs. Heidelberg Materials AG | PNC Financial vs. APPLIED MATERIALS | PNC Financial vs. CONTAGIOUS GAMING INC | PNC Financial vs. Plastic Omnium |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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