Correlation Between GM and Lazard Us
Can any of the company-specific risk be diversified away by investing in both GM and Lazard Us 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 Lazard Us into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Lazard Sustainable Equity, you can compare the effects of market volatilities on GM and Lazard Us 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 Lazard Us. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Lazard Us.
Diversification Opportunities for GM and Lazard Us
Modest diversification
The 3 months correlation between GM and Lazard is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Lazard Sustainable Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lazard Sustainable Equity 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 Lazard Us. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lazard Sustainable Equity has no effect on the direction of GM i.e., GM and Lazard Us go up and down completely randomly.
Pair Corralation between GM and Lazard Us
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.49 times more return on investment than Lazard Us. However, GM is 1.49 times more volatile than Lazard Sustainable Equity. It trades about -0.1 of its potential returns per unit of risk. Lazard Sustainable Equity is currently generating about -0.3 per unit of risk. If you would invest 4,708 in General Motors on January 5, 2025 and sell it today you would lose (290.00) from holding General Motors or give up 6.16% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
General Motors vs. Lazard Sustainable Equity
Performance |
| Timeline |
| General Motors |
| Lazard Sustainable Equity |
GM and Lazard Us Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Lazard Us
The main advantage of trading using opposite GM and Lazard Us positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Lazard Us 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 Lazard Us will offset losses from the drop in Lazard Us' long position.The idea behind General Motors and Lazard Sustainable Equity 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.| Lazard Us vs. Lazard International Quality | Lazard Us vs. Lazard Small Mid Cap | Lazard Us vs. Lazard Equity Franchise | Lazard Us vs. Lazard Emerging Markets |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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