Correlation Between GM and Worley
Can any of the company-specific risk be diversified away by investing in both GM and Worley 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 Worley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Worley Limited, you can compare the effects of market volatilities on GM and Worley 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 Worley. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Worley.
Diversification Opportunities for GM and Worley
Pay attention - limited upside
The 3 months correlation between GM and Worley is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Worley Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Worley Limited 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 Worley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Worley Limited has no effect on the direction of GM i.e., GM and Worley go up and down completely randomly.
Pair Corralation between GM and Worley
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Worley. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 1.26 times less risky than Worley. The stock trades about -0.12 of its potential returns per unit of risk. The Worley Limited is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 893.00 in Worley Limited on September 17, 2024 and sell it today you would lose (23.00) from holding Worley Limited or give up 2.58% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.24% |
Values | Daily Returns |
General Motors vs. Worley Limited
Performance |
Timeline |
General Motors |
Worley Limited |
GM and Worley Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Worley
The main advantage of trading using opposite GM and Worley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Worley 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 Worley will offset losses from the drop in Worley's long position.The idea behind General Motors and Worley Limited 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.Worley vs. SMG Industries | Worley vs. Aquagold International | Worley vs. Morningstar Unconstrained Allocation | Worley vs. Thrivent High Yield |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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