Correlation Between AngloGold Ashanti and Dave Busters

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

Diversification Opportunities for AngloGold Ashanti and Dave Busters

0.27
  Correlation Coefficient

Modest diversification

The 3 months correlation between AngloGold and Dave is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding AngloGold Ashanti plc and Dave Busters Entertainment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dave Busters Enterta and AngloGold Ashanti 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 AngloGold Ashanti plc are associated (or correlated) with Dave Busters. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dave Busters Enterta has no effect on the direction of AngloGold Ashanti i.e., AngloGold Ashanti and Dave Busters go up and down completely randomly.

Pair Corralation between AngloGold Ashanti and Dave Busters

Allowing for the 90-day total investment horizon AngloGold Ashanti plc is expected to generate 0.79 times more return on investment than Dave Busters. However, AngloGold Ashanti plc is 1.26 times less risky than Dave Busters. It trades about 0.13 of its potential returns per unit of risk. Dave Busters Entertainment is currently generating about -0.22 per unit of risk. If you would invest  2,220  in AngloGold Ashanti plc on January 28, 2024 and sell it today you would earn a total of  165.00  from holding AngloGold Ashanti plc or generate 7.43% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

AngloGold Ashanti plc  vs.  Dave Busters Entertainment

 Performance 
       Timeline  
AngloGold Ashanti plc 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in AngloGold Ashanti plc are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile basic indicators, AngloGold Ashanti unveiled solid returns over the last few months and may actually be approaching a breakup point.
Dave Busters Enterta 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Dave Busters Entertainment has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly strong basic indicators, Dave Busters is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

AngloGold Ashanti and Dave Busters Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with AngloGold Ashanti and Dave Busters

The main advantage of trading using opposite AngloGold Ashanti and Dave Busters positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AngloGold Ashanti position performs unexpectedly, Dave Busters 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 Dave Busters will offset losses from the drop in Dave Busters' long position.
The idea behind AngloGold Ashanti plc and Dave Busters Entertainment 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 Anywhere module to track or share privately all of your investments from the convenience of any device.

Other Complementary Tools

Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets