Correlation Between US Commodity and DB Gold

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

Diversification Opportunities for US Commodity and DB Gold

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between USOU and DGP is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding US Commodity Funds and DB Gold Double in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DB Gold Double and US Commodity 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 US Commodity Funds are associated (or correlated) with DB Gold. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DB Gold Double has no effect on the direction of US Commodity i.e., US Commodity and DB Gold go up and down completely randomly.

Pair Corralation between US Commodity and DB Gold

If you would invest  3,893  in DB Gold Double on January 20, 2024 and sell it today you would earn a total of  1,778  from holding DB Gold Double or generate 45.67% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

US Commodity Funds  vs.  DB Gold Double

 Performance 
       Timeline  
US Commodity Funds 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days US Commodity Funds has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, US Commodity is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.
DB Gold Double 

Risk-Adjusted Performance

26 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in DB Gold Double are ranked lower than 26 (%) of all global equities and portfolios over the last 90 days. Even with relatively weak technical and fundamental indicators, DB Gold reported solid returns over the last few months and may actually be approaching a breakup point.

US Commodity and DB Gold Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with US Commodity and DB Gold

The main advantage of trading using opposite US Commodity and DB Gold positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if US Commodity position performs unexpectedly, DB Gold 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 DB Gold will offset losses from the drop in DB Gold's long position.
The idea behind US Commodity Funds and DB Gold Double 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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..

Other Complementary Tools

Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Stock Tickers
Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Commodity Directory
Find actively traded commodities issued by global exchanges
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments
Bonds Directory
Find actively traded corporate debentures issued by US companies
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Technical Analysis
Check basic technical indicators and analysis based on most latest market data
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation