Correlation Between GM and Lake Materials
Can any of the company-specific risk be diversified away by investing in both GM and Lake Materials 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 Lake Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Lake Materials Co, you can compare the effects of market volatilities on GM and Lake Materials 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 Lake Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Lake Materials.
Diversification Opportunities for GM and Lake Materials
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and Lake is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Lake Materials Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lake Materials 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 Lake Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lake Materials has no effect on the direction of GM i.e., GM and Lake Materials go up and down completely randomly.
Pair Corralation between GM and Lake Materials
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Lake Materials. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 3.65 times less risky than Lake Materials. The stock trades about -0.01 of its potential returns per unit of risk. The Lake Materials Co is currently generating about 0.39 of returns per unit of risk over similar time horizon. If you would invest 1,156,000 in Lake Materials Co on December 1, 2024 and sell it today you would earn a total of 719,000 from holding Lake Materials Co or generate 62.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Lake Materials Co
Performance |
Timeline |
General Motors |
Lake Materials |
GM and Lake Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Lake Materials
The main advantage of trading using opposite GM and Lake Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Lake Materials 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 Lake Materials will offset losses from the drop in Lake Materials' long position.The idea behind General Motors and Lake Materials Co 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.Lake Materials vs. Samsung Electronics Co | Lake Materials vs. Samsung Electronics Co | Lake Materials vs. LG Energy Solution | Lake Materials vs. SK Hynix |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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