Correlation Between Goldman Sachs and Pace Large

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

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

Diversification Opportunities for Goldman Sachs and Pace Large

0.95

Correlation Coefficient

Goldman Sachs  Pace Large

Almost no diversification

The 3 months correlation between Goldman and Pace is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Large and Pace Large Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pace Large Growth 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 Large are associated (or correlated) with Pace Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pace Large Growth has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Pace Large go up and down completely randomly.

Pair Corralation between Goldman Sachs and Pace Large

Assuming the 90 days horizon Goldman Sachs Large is expected to under-perform the Pace Large. In addition to that, Goldman Sachs is 1.13 times more volatile than Pace Large Growth. It trades about -0.11 of its total potential returns per unit of risk. Pace Large Growth is currently generating about -0.1 per unit of volatility. If you would invest  1,548  in Pace Large Growth on December 29, 2024 and sell it today you would lose (120.00) from holding Pace Large Growth or give up 7.75% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	98.39%
Values	Daily Returns

Goldman Sachs Large  vs.  Pace Large Growth

Goldman Sachs Large

Risk-Adjusted Performance

Very Weak

Over the last 90 days Goldman Sachs Large has generated negative risk-adjusted returns adding no value to fund investors. In spite of latest weak performance, the Fund's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the fund investors.

Pace Large Growth

Risk-Adjusted Performance

Very Weak

Over the last 90 days Pace Large Growth has generated negative risk-adjusted returns adding no value to fund investors. In spite of latest weak performance, the Fund's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the fund investors.

Pair Trading with Goldman Sachs and Pace Large

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

The idea behind Goldman Sachs Large and Pace Large Growth 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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..