Correlation Between Dunham Large and Goldman Sachs

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

Diversification Opportunities for Dunham Large and Goldman Sachs

-0.29
  Correlation Coefficient

Very good diversification

The 3 months correlation between Dunham and Goldman is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Dunham Large Cap and Goldman Sachs Clean in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Clean and Dunham Large 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 Dunham Large Cap 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 Clean has no effect on the direction of Dunham Large i.e., Dunham Large and Goldman Sachs go up and down completely randomly.

Pair Corralation between Dunham Large and Goldman Sachs

Assuming the 90 days horizon Dunham Large Cap is expected to generate 0.62 times more return on investment than Goldman Sachs. However, Dunham Large Cap is 1.62 times less risky than Goldman Sachs. It trades about -0.02 of its potential returns per unit of risk. Goldman Sachs Clean is currently generating about -0.32 per unit of risk. If you would invest  2,032  in Dunham Large Cap on September 26, 2024 and sell it today you would lose (16.00) from holding Dunham Large Cap or give up 0.79% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Dunham Large Cap  vs.  Goldman Sachs Clean

 Performance 
       Timeline  
Dunham Large Cap 

Risk-Adjusted Performance

0 of 100

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

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
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 fragile performance in the last few months, the Fund's forward-looking indicators remain fairly strong which may send shares a bit higher in January 2025. The current disturbance may also be a sign of long term up-swing for the fund investors.

Dunham Large and Goldman Sachs Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dunham Large and Goldman Sachs

The main advantage of trading using opposite Dunham Large and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dunham Large 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 Dunham Large Cap and Goldman Sachs Clean 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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.

Other Complementary Tools

Global Markets Map
Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes
ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios