Correlation Between GM and Expat Czech
Can any of the company-specific risk be diversified away by investing in both GM and Expat Czech 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 Expat Czech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Expat Czech PX, you can compare the effects of market volatilities on GM and Expat Czech 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 Expat Czech. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Expat Czech.
Diversification Opportunities for GM and Expat Czech
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and Expat is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Expat Czech PX in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Expat Czech PX 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 Expat Czech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Expat Czech PX has no effect on the direction of GM i.e., GM and Expat Czech go up and down completely randomly.
Pair Corralation between GM and Expat Czech
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Expat Czech. In addition to that, GM is 1.04 times more volatile than Expat Czech PX. It trades about -0.02 of its total potential returns per unit of risk. Expat Czech PX is currently generating about 0.1 per unit of volatility. If you would invest 143.00 in Expat Czech PX on December 25, 2024 and sell it today you would earn a total of 19.00 from holding Expat Czech PX or generate 13.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.33% |
Values | Daily Returns |
General Motors vs. Expat Czech PX
Performance |
Timeline |
General Motors |
Expat Czech PX |
GM and Expat Czech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Expat Czech
The main advantage of trading using opposite GM and Expat Czech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Expat Czech 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 Expat Czech will offset losses from the drop in Expat Czech's long position.The idea behind General Motors and Expat Czech PX 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.Expat Czech vs. Expat Czech PX | Expat Czech vs. Expat Croatia Crobex | Expat Czech vs. Expat Serbia Belex15 | Expat Czech vs. Expat Poland WIG20 |
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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