Correlation Between GM and Sit Balanced
Can any of the company-specific risk be diversified away by investing in both GM and Sit Balanced 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 Sit Balanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Sit Balanced Fund, you can compare the effects of market volatilities on GM and Sit Balanced 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 Sit Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Sit Balanced.
Diversification Opportunities for GM and Sit Balanced
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Sit is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Sit Balanced Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sit Balanced 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 Sit Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sit Balanced has no effect on the direction of GM i.e., GM and Sit Balanced go up and down completely randomly.
Pair Corralation between GM and Sit Balanced
Allowing for the 90-day total investment horizon General Motors is expected to generate 3.25 times more return on investment than Sit Balanced. However, GM is 3.25 times more volatile than Sit Balanced Fund. It trades about 0.05 of its potential returns per unit of risk. Sit Balanced Fund is currently generating about 0.11 per unit of risk. If you would invest 3,807 in General Motors on August 26, 2024 and sell it today you would earn a total of 2,046 from holding General Motors or generate 53.74% 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. Sit Balanced Fund
Performance |
Timeline |
General Motors |
Sit Balanced |
GM and Sit Balanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Sit Balanced
The main advantage of trading using opposite GM and Sit Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Sit Balanced 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 Sit Balanced will offset losses from the drop in Sit Balanced's long position.The idea behind General Motors and Sit Balanced Fund 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.Sit Balanced vs. Value Line Asset | Sit Balanced vs. Sit Large Cap | Sit Balanced vs. Sit Small Cap | Sit Balanced vs. Plumb Balanced Fund |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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