DOW Backtesting

DJI -- USA Index  

 25,444  64.89  0.26%

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

DOW 'What if' Analysis

September 22, 2018
0.00
No Change 0.00  0.0%
In 30 days
October 22, 2018
0.00
If you would invest  0.00  in DOW on September 22, 2018 and sell it all today you would earn a total of 0.00 from holding DOW or generate 0.0% return on investment in DOW over 30 days.

DOW Upside/Downside Indicators

Maximum Drawdown4.43
Value At Risk2.13
Potential Upside1.28
  

DOW Market Premium Indicators

Risk Adjusted Performance0.16

DOW Backtested Returns

DOW secures Sharpe Ratio (or Efficiency) of -0.1877 which denotes DOW had -0.1877% of return per unit of volatility over the last 1 month. Macroaxis approach towards predicting risk of any index is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators. DOW exposes twenty-one different technical indicators which can help you to evaluate volatility that cannot be diversified away. The organization shows Beta (market volatility) of 0.0 which denotes to the fact that the returns on MARKET and DOW are completely uncorrelated. Even though it is essential to pay attention to DOW historical returns, it is always good to be careful when utilizing equity current trending patterns. Macroaxis approach towards predicting future performance of any index is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. DOW exposes twenty-one different technical indicators which can help you to evaluate its performance.
Advice Volatility Trend Exposure Correlations
15 days auto-correlation 0.28 

Poor predictability

DOW has poor predictability. Overlapping area represents the amount of predictability between DOW time series from September 22, 2018 to October 7, 2018 and October 7, 2018 to October 22, 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 DOW price movement. The serial correlation of 0.28 indicates that nearly 28.0% of current DOW price fluctuation can be explain by its past prices.
Correlation Coefficient0.28
Spearman Rank Test-0.11
Residual Average0.0
Price Variance153769.88

DOW lagged returns against current returns

 Current and Lagged Values 
      Timeline 

DOW regressed lagged prices vs. current prices

 Current vs Lagged Prices 
      Timeline 

DOW Lagged Returns

 Regressed Prices 
      Timeline 

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See also DOW Hype Analysis, DOW Correlation, Portfolio Optimization, DOW Volatility as well as analyze DOW Alpha and Beta and DOW Performance. Please also try Content Syndication module to quickly integrate customizable finance content to your own investment portal.
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