PowerShares DB Backtesting

PowerShares DB Energy ETF -- USA Etf  

USD 14.13  0.12  0.86%

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
Investment Horizon     30 Days    Login   to change

PowerShares DB 'What if' Analysis

November 12, 2017
No Change 0.00  0.0%
In 31 days
December 12, 2017
If you would invest  0.00  in PowerShares DB on November 12, 2017 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, iPath SP, United States, PowerShares DB, United States. 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


PowerShares DB Market Premium Indicators

PowerShares DB Energy lagged returns against current returns

 Current and Lagged Values 

PowerShares DB regressed lagged prices vs. current prices

 Current vs Lagged Prices 

PowerShares DB Energy Backtested Returns

Macroaxis considers PowerShares DB to be not too volatile. PowerShares DB Energy maintains Sharpe Ratio (i.e. Efficiency) of -0.0288 which implies PowerShares DB Energy had -0.0288% 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 (1,653) and Risk Adjusted Performance of (0.024712) to confirm risk estimate we provide. The etf holds Beta of -0.3027 which implies as returns on market increase, returns on owning PowerShares DB are expected to decrease at a much smaller rate. During bear market, PowerShares DB is likely to outperform the market.. 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(0.3) 

Weak reverse predictability

PowerShares DB Energy ETF has weak reverse predictability. Overlapping area represents the amount of predictability between PowerShares DB time series from November 12, 2017 to November 27, 2017 and November 27, 2017 to December 12, 2017. 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 -0.3 indicates that nearly 30.0% of current PowerShares DB price fluctuation can be explain by its past prices. Given that PowerShares DB Energy ETF has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of PowerShares DB for similar time interval.
Correlation Coefficient -0.3
Spearman Rank Test -0.54
Price Variance 0.03
Lagged Price Variance 0.02

PowerShares DB Lagged Returns

 Regressed Prices 

PowerShares DB Performance vs DOW

The median price of PowerShares DB for the period between Sun, Nov 12, 2017 and Tue, Dec 12, 2017 is 14.13 with a coefficient of variation of 1.19. The daily time series for the period is distributed with a sample standard deviation of 0.17, arithmetic mean of 14.1, and mean deviation of 0.14. The Etf did not receive any noticable media coverage during the period.
Price Growth (%)