DOW Backtesting

DOW -- USA Index  

 24,611  335.60  1.35%

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

DOW 'What if' Analysis

February 18, 2018
No Change 0.00  0.0%
In 31 days
March 20, 2018
If you would invest  0.00  in DOW on February 18, 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


DOW Market Premium Indicators

DOW lagged returns against current returns

 Current and Lagged Values 

DOW regressed lagged prices vs. current prices

 Current vs Lagged Prices 

DOW Backtested Returns

DOW secures Sharpe Ratio (or Efficiency) of 0.0011 which denotes DOW had 0.0011% of return per unit of volatility over the last 1 month. Our approach towards predicting volatility of a index is to use all available market data together with company specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for DOW which you can use to evaluate future volatility of the entity. The organization shows Beta (market volatility) of 0.0 which denotes to the fact that the returns on MARKET and DOW are completely uncorrelated. Although it is extremely important to respect DOW historical returns, it is better to be realistic regarding the information on equity current trending patterns. The approach towards predicting future performance of any index is to evaluate the business as a whole together with its past performance including all available fundamental and technical indicators. By evaluating DOW technical indicators you can now evaluate if the expected return of 0.001% will be sustainable into the future.
Advice Volatility Trend Exposure Correlations
15 days auto-correlation 0.81 

Very good predictability

DOW has very good predictability. Overlapping area represents the amount of predictability between DOW time series from February 18, 2018 to March 5, 2018 and March 5, 2018 to March 20, 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 0.81 indicates that around 81.0% of current DOW price fluctuation can be explain by its past prices.
Correlation Coefficient 0.81
Spearman Rank Test -0.1
Price Variance 37562.88
Lagged Price Variance 115054.9

DOW Lagged Returns

 Regressed Prices 

DOW Performance vs DOW

The median price of DOW for the period between Sun, Feb 18, 2018 and Tue, Mar 20, 2018 is 24895.21 with a coefficient of variation of 32.39. The daily time series for the period is distributed with a sample standard deviation of 7364.57, arithmetic mean of 22737.62, and mean deviation of 4134.11. The Index did not receive any noticable media coverage during the period.
 Price Growth (%)