Correlation Between GM and Small Pany
Can any of the company-specific risk be diversified away by investing in both GM and Small Pany 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 Small Pany into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Small Pany Value, you can compare the effects of market volatilities on GM and Small Pany 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 Small Pany. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Small Pany.
Diversification Opportunities for GM and Small Pany
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between GM and Small is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Small Pany Value in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Small Pany Value 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 Small Pany. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Small Pany Value has no effect on the direction of GM i.e., GM and Small Pany go up and down completely randomly.
Pair Corralation between GM and Small Pany
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.92 times more return on investment than Small Pany. However, GM is 1.92 times more volatile than Small Pany Value. It trades about 0.1 of its potential returns per unit of risk. Small Pany Value is currently generating about 0.11 per unit of risk. If you would invest 4,620 in General Motors on September 13, 2024 and sell it today you would earn a total of 654.00 from holding General Motors or generate 14.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Small Pany Value
Performance |
Timeline |
General Motors |
Small Pany Value |
GM and Small Pany Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Small Pany
The main advantage of trading using opposite GM and Small Pany positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Small Pany 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 Small Pany will offset losses from the drop in Small Pany's long position.The idea behind General Motors and Small Pany Value 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.Small Pany vs. Small Pany Growth | Small Pany vs. Large Pany Value | Small Pany vs. Small Pany Value | Small Pany vs. Large Pany Growth |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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