Correlation Between Pax High and Goldman Sachs

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

By analyzing existing cross correlation between Pax High Yield and Goldman Sachs Real, you can compare the effects of market volatilities on Pax High 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 Pax High with a short position of Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pax High and Goldman Sachs.

Diversification Opportunities for Pax High and Goldman Sachs

0.13

Correlation Coefficient

Pax High  Goldman Sachs

Average diversification

The 3 months correlation between Pax and Goldman is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Pax High Yield and Goldman Sachs Real in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Real and Pax High 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 Pax High Yield 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 Real has no effect on the direction of Pax High i.e., Pax High and Goldman Sachs go up and down completely randomly.

Pair Corralation between Pax High and Goldman Sachs

Assuming the 90 days horizon Pax High Yield is expected to generate 0.12 times more return on investment than Goldman Sachs. However, Pax High Yield is 8.56 times less risky than Goldman Sachs. It trades about -0.18 of its potential returns per unit of risk. Goldman Sachs Real is currently generating about -0.36 per unit of risk. If you would invest  609.00  in Pax High Yield on September 22, 2024 and sell it today you would lose (4.00) from holding Pax High Yield or give up 0.66% of portfolio value over 90 days.

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

Pax High Yield  vs.  Goldman Sachs Real

Pax High Yield

Risk-Adjusted Performance

0 of 100

Very Weak

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

Goldman Sachs Real

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Goldman Sachs Real 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 Pax High and Goldman Sachs

The main advantage of trading using opposite Pax High and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pax High 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 Pax High Yield and Goldman Sachs Real 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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.