Correlation Between ON Semiconductor and Berkshire Hathaway
Can any of the company-specific risk be diversified away by investing in both ON Semiconductor 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 ON Semiconductor and Berkshire Hathaway into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ON Semiconductor and Berkshire Hathaway, you can compare the effects of market volatilities on ON Semiconductor 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 ON Semiconductor with a short position of Berkshire Hathaway. Check out your portfolio center. Please also check ongoing floating volatility patterns of ON Semiconductor and Berkshire Hathaway.
Diversification Opportunities for ON Semiconductor and Berkshire Hathaway
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between O2NS34 and Berkshire is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding ON Semiconductor and Berkshire Hathaway in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Berkshire Hathaway and ON Semiconductor 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 ON Semiconductor 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 ON Semiconductor i.e., ON Semiconductor and Berkshire Hathaway go up and down completely randomly.
Pair Corralation between ON Semiconductor and Berkshire Hathaway
Assuming the 90 days trading horizon ON Semiconductor is expected to under-perform the Berkshire Hathaway. In addition to that, ON Semiconductor is 2.58 times more volatile than Berkshire Hathaway. It trades about -0.08 of its total potential returns per unit of risk. Berkshire Hathaway is currently generating about -0.09 per unit of volatility. If you would invest 14,274 in Berkshire Hathaway on October 4, 2024 and sell it today you would lose (244.00) from holding Berkshire Hathaway or give up 1.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 94.74% |
Values | Daily Returns |
ON Semiconductor vs. Berkshire Hathaway
Performance |
Timeline |
ON Semiconductor |
Berkshire Hathaway |
ON Semiconductor and Berkshire Hathaway Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ON Semiconductor and Berkshire Hathaway
The main advantage of trading using opposite ON Semiconductor and Berkshire Hathaway positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ON Semiconductor 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.ON Semiconductor vs. Taiwan Semiconductor Manufacturing | ON Semiconductor vs. Alibaba Group Holding | ON Semiconductor vs. Banco Santander Chile | ON Semiconductor vs. HSBC Holdings plc |
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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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