Correlation Between Goldman Sachs and Cboe Vest

Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Cboe Vest 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 Cboe Vest into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Goldman Sachs Equity and Cboe Vest Sp, you can compare the effects of market volatilities on Goldman Sachs and Cboe Vest 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 Cboe Vest. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Cboe Vest.

Diversification Opportunities for Goldman Sachs and Cboe Vest

0.63

Correlation Coefficient

Goldman Sachs  Cboe Vest

Poor diversification

The 3 months correlation between Goldman and Cboe is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Equity and Cboe Vest Sp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cboe Vest Sp 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 Equity are associated (or correlated) with Cboe Vest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cboe Vest Sp has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Cboe Vest go up and down completely randomly.

Pair Corralation between Goldman Sachs and Cboe Vest

Assuming the 90 days horizon Goldman Sachs Equity is expected to generate 2.32 times more return on investment than Cboe Vest. However, Goldman Sachs is 2.32 times more volatile than Cboe Vest Sp. It trades about -0.15 of its potential returns per unit of risk. Cboe Vest Sp is currently generating about -0.45 per unit of risk. If you would invest  1,814  in Goldman Sachs Equity on September 27, 2024 and sell it today you would lose (83.00) from holding Goldman Sachs Equity or give up 4.58% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Goldman Sachs Equity  vs.  Cboe Vest Sp

Goldman Sachs Equity

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Goldman Sachs Equity has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Goldman Sachs is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Cboe Vest Sp

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Cboe Vest Sp has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong forward indicators, Cboe Vest is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Goldman Sachs and Cboe Vest

The main advantage of trading using opposite Goldman Sachs and Cboe Vest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Cboe Vest 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 Cboe Vest will offset losses from the drop in Cboe Vest's long position.

The idea behind Goldman Sachs Equity and Cboe Vest Sp 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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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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.