Correlation Between Goldman Sachs and Goldman Sachs

Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Goldman Sachs 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 Goldman Sachs 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 Goldman Sachs Large, you can compare the effects of market volatilities on Goldman Sachs and Goldman Sachs 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 Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Goldman Sachs.

Diversification Opportunities for Goldman Sachs and Goldman Sachs

-0.47

Correlation Coefficient

Goldman Sachs  Goldman Sachs

Very good diversification

The 3 months correlation between Goldman and Goldman is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Clean and Goldman Sachs Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Large 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 Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs Large has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Goldman Sachs go up and down completely randomly.

Pair Corralation between Goldman Sachs and Goldman Sachs

Assuming the 90 days horizon Goldman Sachs Clean is expected to under-perform the Goldman Sachs. But the mutual fund apears to be less risky and, when comparing its historical volatility, Goldman Sachs Clean is 1.11 times less risky than Goldman Sachs. The mutual fund trades about -0.11 of its potential returns per unit of risk. The Goldman Sachs Large is currently generating about -0.1 of returns per unit of risk over similar time horizon. If you would invest  3,121  in Goldman Sachs Large on January 28, 2024 and sell it today you would lose (82.00) from holding Goldman Sachs Large or give up 2.63% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

Goldman Sachs Clean  vs.  Goldman Sachs Large

Goldman Sachs Clean

Risk-Adjusted Performance

0 of 100

Very Weak

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

Goldman Sachs Large

Risk-Adjusted Performance

4 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Goldman Sachs Large are ranked lower than 4 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong forward indicators, Goldman Sachs 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 Goldman Sachs

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

The idea behind Goldman Sachs Clean and Goldman Sachs Large 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.