Correlation Between GM and WR Berkley
Can any of the company-specific risk be diversified away by investing in both GM and WR Berkley 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 GM and WR Berkley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and WR Berkley, you can compare the effects of market volatilities on GM and WR Berkley 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 GM with a short position of WR Berkley. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and WR Berkley.
Diversification Opportunities for GM and WR Berkley
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and WRB-PF is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and WR Berkley in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WR Berkley and GM 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 General Motors are associated (or correlated) with WR Berkley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WR Berkley has no effect on the direction of GM i.e., GM and WR Berkley go up and down completely randomly.
Pair Corralation between GM and WR Berkley
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the WR Berkley. In addition to that, GM is 2.26 times more volatile than WR Berkley. It trades about -0.07 of its total potential returns per unit of risk. WR Berkley is currently generating about -0.1 per unit of volatility. If you would invest 2,230 in WR Berkley on December 2, 2024 and sell it today you would lose (128.00) from holding WR Berkley or give up 5.74% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. WR Berkley
Performance |
Timeline |
General Motors |
WR Berkley |
GM and WR Berkley Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and WR Berkley
The main advantage of trading using opposite GM and WR Berkley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, WR Berkley 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 WR Berkley will offset losses from the drop in WR Berkley's long position.The idea behind General Motors and WR Berkley pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.WR Berkley vs. W R Berkley | WR Berkley vs. Southern Co | WR Berkley vs. Aegon Funding | WR Berkley vs. American Financial Group |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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