Correlation Between Goldman Sachs and Mainstay Large
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Mainstay Large 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 Goldman Sachs and Mainstay Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs Clean and Mainstay Large Cap, you can compare the effects of market volatilities on Goldman Sachs and Mainstay Large 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 Goldman Sachs with a short position of Mainstay Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Mainstay Large.
Diversification Opportunities for Goldman Sachs and Mainstay Large
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Goldman and Mainstay is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Clean and Mainstay Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mainstay Large Cap and Goldman Sachs 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 Goldman Sachs Clean are associated (or correlated) with Mainstay Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mainstay Large Cap has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Mainstay Large go up and down completely randomly.
Pair Corralation between Goldman Sachs and Mainstay Large
Assuming the 90 days horizon Goldman Sachs Clean is expected to under-perform the Mainstay Large. In addition to that, Goldman Sachs is 1.1 times more volatile than Mainstay Large Cap. It trades about -0.12 of its total potential returns per unit of risk. Mainstay Large Cap is currently generating about 0.2 per unit of volatility. If you would invest 575.00 in Mainstay Large Cap on September 4, 2024 and sell it today you would earn a total of 78.00 from holding Mainstay Large Cap or generate 13.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Goldman Sachs Clean vs. Mainstay Large Cap
Performance |
Timeline |
Goldman Sachs Clean |
Mainstay Large Cap |
Goldman Sachs and Mainstay Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and Mainstay Large
The main advantage of trading using opposite Goldman Sachs and Mainstay Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Mainstay Large 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 Mainstay Large will offset losses from the drop in Mainstay Large's long position.The idea behind Goldman Sachs Clean and Mainstay Large Cap 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.
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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