Correlation Between GM and Saat Tax-managed
Can any of the company-specific risk be diversified away by investing in both GM and Saat Tax-managed 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 Saat Tax-managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Saat Tax Managed Aggressive, you can compare the effects of market volatilities on GM and Saat Tax-managed 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 Saat Tax-managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Saat Tax-managed.
Diversification Opportunities for GM and Saat Tax-managed
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and Saat is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Saat Tax Managed Aggressive in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Saat Tax Managed 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 Saat Tax-managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Saat Tax Managed has no effect on the direction of GM i.e., GM and Saat Tax-managed go up and down completely randomly.
Pair Corralation between GM and Saat Tax-managed
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Saat Tax-managed. In addition to that, GM is 3.42 times more volatile than Saat Tax Managed Aggressive. It trades about -0.01 of its total potential returns per unit of risk. Saat Tax Managed Aggressive is currently generating about 0.01 per unit of volatility. If you would invest 2,586 in Saat Tax Managed Aggressive on December 25, 2024 and sell it today you would earn a total of 9.00 from holding Saat Tax Managed Aggressive or generate 0.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
General Motors vs. Saat Tax Managed Aggressive
Performance |
Timeline |
General Motors |
Saat Tax Managed |
GM and Saat Tax-managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Saat Tax-managed
The main advantage of trading using opposite GM and Saat Tax-managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Saat Tax-managed 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 Saat Tax-managed will offset losses from the drop in Saat Tax-managed's long position.The idea behind General Motors and Saat Tax Managed Aggressive 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.Saat Tax-managed vs. Saat E Market | Saat Tax-managed vs. Saat Moderate Strategy | Saat Tax-managed vs. Saat Market Growth | Saat Tax-managed vs. Dreyfus Midcap Index |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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