PowerShares DB Backtesting

DBE -- USA Etf  

USD 16.22  0.09  0.55%

With this equity back-testing module your can estimate the performance of a buy and hold strategy of PowerShares DB Energy ETF and determine expected loss or profit from investing in PowerShares DB over given investment horizon. Additionally see PowerShares DB Hype Analysis, PowerShares DB Correlation, Portfolio Optimization, PowerShares DB Volatility as well as analyze PowerShares DB Alpha and Beta and PowerShares DB Performance.
 Time Horizon     30 Days    Login   to change
SymbolX
Backtest

PowerShares DB 'What if' Analysis

May 20, 2018
0.00
No Change 0.00  0.0%
In 31 days
June 19, 2018
0.00
If you would invest  0.00  in PowerShares DB on May 20, 2018 and sell it all today you would earn a total of 0.00 from holding PowerShares DB Energy ETF or generate 0.0% return on investment in PowerShares DB over 30 days. PowerShares DB is related to or competes with United States, United States, PowerShares DB, VelocityShares 3x, ProShares UltraShort, and VelocityShares 3x. The investment seeks to track the DBIQ Optimum Yield Energy Index Excess Return , which is intended to reflect the energ...

PowerShares DB Upside/Downside Indicators

Information Ratio0.18
Maximum Drawdown5.15
Value At Risk2.69
Potential Upside1.81
  

PowerShares DB Market Premium Indicators

Risk Adjusted Performance0.01

PowerShares DB Energy Backtested Returns

Macroaxis considers PowerShares DB to be not too volatile. PowerShares DB Energy maintains Sharpe Ratio (i.e. Efficiency) of -0.2328 which implies PowerShares DB Energy had -0.2328% of return per unit of risk over the last 1 month. Macroaxis philosophy towards forecasting risk of any etf is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators. PowerShares DB Energy exposes twenty-one different technical indicators which can help you to evaluate volatility that cannot be diversified away. Please be advised to check PowerShares DB Energy Coefficient Of Variation of 555.49 and Risk Adjusted Performance of 0.01 to confirm risk estimate we provide. The etf holds Beta of 0.0 which implies the returns on MARKET and PowerShares DB are completely uncorrelated. Even though it is essential to pay attention to PowerShares DB Energy current trending patterns, it is always good to be careful when utilizing equity existing price patterns. Macroaxis philosophy towards forecasting future performance of any etf is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. PowerShares DB Energy exposes twenty-one different technical indicators which can help you to evaluate its performance.
Advice Volatility Trend Exposure Correlations
15 days auto-correlation 0.09 

Virtually no predictability

PowerShares DB Energy ETF has virtually no predictability. Overlapping area represents the amount of predictability between PowerShares DB time series from May 20, 2018 to June 4, 2018 and June 4, 2018 to June 19, 2018. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of PowerShares DB Energy price movement. The serial correlation of 0.09 indicates that less than 9.0% of current PowerShares DB price fluctuation can be explain by its past prices.
Correlation Coefficient 0.09
Spearman Rank Test 0.22
Price Variance 0.03
Lagged Price Variance 0.1

PowerShares DB Energy lagged returns against current returns

 Current and Lagged Values 
      Timeline 

PowerShares DB regressed lagged prices vs. current prices

 Current vs Lagged Prices 
      Timeline 

PowerShares DB Lagged Returns

 Regressed Prices 
      Timeline 

Current Sentiment - DBE

PowerShares DB Energy Investor Sentiment
Greater number of Macroaxis users are currently bullish on PowerShares DB Energy ETF. What is your perspective on investing in PowerShares DB Energy ETF? Are you bullish or bearish?
Bullish
Bearish
98% Bullish
2% Bearish
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Pair Correlation

Equities Pair Trading Analysis
Correlation analysis and pair trading evaluation for PowerShares DB and United States Oil. Pair trading can be used as a hedging technique within a particular sector or industry or even over random equities to generate better risk-adjusted return
Run Pair Correlation  
Additionally see PowerShares DB Hype Analysis, PowerShares DB Correlation, Portfolio Optimization, PowerShares DB Volatility as well as analyze PowerShares DB Alpha and Beta and PowerShares DB Performance. Please also try Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.