DOW Backtesting

DJI -- USA Index  

 25,019  94.52  0.38%

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.
 Time Horizon     30 Days    Login   to change
SymbolX
Backtest

DOW 'What if' Analysis

June 15, 2018
0.00
No Change 0.00  0.0%
In 31 days
July 15, 2018
0.00
If you would invest  0.00  in DOW on June 15, 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 Drawdown1.72
Value At Risk0.54
Potential Upside1.31
  

DOW Market Premium Indicators

Risk Adjusted Performance0.1213

DOW Backtested Returns

DOW secures Sharpe Ratio (or Efficiency) of -0.0129 which denotes DOW had -0.0129% 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(0.59) 

Good reverse predictability

DOW has good reverse predictability. Overlapping area represents the amount of predictability between DOW time series from June 15, 2018 to June 30, 2018 and June 30, 2018 to July 15, 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 -0.59 indicates that roughly 59.0% of current DOW price fluctuation can be explain by its past prices. Given that DOW has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of DOW for similar time interval.
Correlation Coefficient -0.59
Spearman Rank Test -0.86
Price Variance 60093.33
Lagged Price Variance 91484.83

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 

Current Sentiment - DJI

DOW Investor Sentiment
Most of Macroaxis investors are at this time bullish on DOW. What is your opinion about investing in USA companies? Are you bullish or bearish on DOW?
Bullish
Bearish
98% Bullish
2% Bearish
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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 Cryptocurrency Correlation module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins and exchanges.