Correlation Between GM and Victory Sycamore
Can any of the company-specific risk be diversified away by investing in both GM and Victory Sycamore 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 Victory Sycamore into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Victory Sycamore Small, you can compare the effects of market volatilities on GM and Victory Sycamore 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 Victory Sycamore. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Victory Sycamore.
Diversification Opportunities for GM and Victory Sycamore
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Victory is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and VICTORY SYCAMORE SMALL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Victory Sycamore Small 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 Victory Sycamore. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Victory Sycamore Small has no effect on the direction of GM i.e., GM and Victory Sycamore go up and down completely randomly.
Pair Corralation between GM and Victory Sycamore
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.85 times more return on investment than Victory Sycamore. However, GM is 1.85 times more volatile than Victory Sycamore Small. It trades about 0.02 of its potential returns per unit of risk. Victory Sycamore Small is currently generating about 0.03 per unit of risk. If you would invest 3,961 in General Motors on December 30, 2023 and sell it today you would earn a total of 574.00 from holding General Motors or generate 14.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. VICTORY SYCAMORE SMALL
Performance |
Timeline |
General Motors |
Victory Sycamore Small |
GM and Victory Sycamore Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Victory Sycamore
The main advantage of trading using opposite GM and Victory Sycamore positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Victory Sycamore 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 Victory Sycamore will offset losses from the drop in Victory Sycamore's long position.The idea behind General Motors and Victory Sycamore Small 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.Victory Sycamore vs. Vanguard Small Cap Value | Victory Sycamore vs. Vanguard Small Cap Value | Victory Sycamore vs. Us Small Cap | Victory Sycamore vs. Us Targeted Value |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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