Correlation Between Financial Industries and Goldman Sachs

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Financial Industries 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 Financial Industries and Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Financial Industries Fund and Goldman Sachs Large, you can compare the effects of market volatilities on Financial Industries 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 Financial Industries with a short position of Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Industries and Goldman Sachs.

Diversification Opportunities for Financial Industries and Goldman Sachs

0.63
  Correlation Coefficient

Poor diversification

The 3 months correlation between Financial and Goldman is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Financial Industries Fund 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 Financial Industries 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 Financial Industries Fund 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 Financial Industries i.e., Financial Industries and Goldman Sachs go up and down completely randomly.

Pair Corralation between Financial Industries and Goldman Sachs

Assuming the 90 days horizon Financial Industries Fund is expected to generate 1.3 times more return on investment than Goldman Sachs. However, Financial Industries is 1.3 times more volatile than Goldman Sachs Large. It trades about 0.04 of its potential returns per unit of risk. Goldman Sachs Large is currently generating about 0.03 per unit of risk. If you would invest  1,488  in Financial Industries Fund on October 11, 2024 and sell it today you would earn a total of  329.00  from holding Financial Industries Fund or generate 22.11% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Financial Industries Fund  vs.  Goldman Sachs Large

 Performance 
       Timeline  
Financial Industries 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Financial Industries Fund has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Financial Industries 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

0 of 100

 
Weak
 
Strong
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.

Financial Industries and Goldman Sachs Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Financial Industries and Goldman Sachs

The main advantage of trading using opposite Financial Industries and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Industries 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 Financial Industries Fund 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.
Check out your portfolio center.
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 Transaction History module to view history of all your transactions and understand their impact on performance.

Other Complementary Tools

Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Transaction History
View history of all your transactions and understand their impact on performance
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.