Correlation Between GOLDMAN SACHS and Stella Jones

Can any of the company-specific risk be diversified away by investing in both GOLDMAN SACHS and Stella Jones 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 Stella Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between GOLDMAN SACHS CDR and Stella Jones, you can compare the effects of market volatilities on GOLDMAN SACHS and Stella Jones 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 Stella Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of GOLDMAN SACHS and Stella Jones.

Diversification Opportunities for GOLDMAN SACHS and Stella Jones

0.42

Correlation Coefficient

GOLDMAN SACHS  Stella Jones

Very weak diversification

The 3 months correlation between GOLDMAN and Stella is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding GOLDMAN SACHS CDR and Stella Jones in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stella Jones 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 CDR are associated (or correlated) with Stella Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stella Jones has no effect on the direction of GOLDMAN SACHS i.e., GOLDMAN SACHS and Stella Jones go up and down completely randomly.

Pair Corralation between GOLDMAN SACHS and Stella Jones

Assuming the 90 days trading horizon GOLDMAN SACHS CDR is expected to under-perform the Stella Jones. In addition to that, GOLDMAN SACHS is 1.05 times more volatile than Stella Jones. It trades about -0.03 of its total potential returns per unit of risk. Stella Jones is currently generating about -0.02 per unit of volatility. If you would invest  7,068  in Stella Jones on December 30, 2024 and sell it today you would lose (293.00) from holding Stella Jones or give up 4.15% of portfolio value over 90 days.

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

GOLDMAN SACHS CDR  vs.  Stella Jones

GOLDMAN SACHS CDR

Risk-Adjusted Performance

Very Weak

Over the last 90 days GOLDMAN SACHS CDR has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy basic indicators, GOLDMAN SACHS is not utilizing all of its potentials. The recent stock price disarray, may contribute to short-term losses for the investors.

Stella Jones

Risk-Adjusted Performance

Very Weak

Over the last 90 days Stella Jones has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy basic indicators, Stella Jones is not utilizing all of its potentials. The recent stock price disarray, may contribute to short-term losses for the investors.

Pair Trading with GOLDMAN SACHS and Stella Jones

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

The idea behind GOLDMAN SACHS CDR and Stella Jones 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.