Apple Backtesting

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

Apple 'What if' Analysis

January 28, 2017
 0.00 
No Change 0.00  0.0%
In 31 days
February 27, 2017
 0.00 
If you would invest  0.00  in Apple on January 28, 2017 and sell it all today you would earn a total of 0.00 from holding Apple Inc or generate 0.0% return on investment in Apple over 30 days. Apple is related to or competes with HEWLETT PACKARD, Facebook, BROADRIDGE FIN, and CA INC. Apple Inc also sells related software, services, accessories, networking solutions, and thirdparty digital content and a...

Apple Upside/Downside Indicators

  

Apple Market Premium Indicators

Apple Inc lagged returns against current returns

 Current and Lagged Values 
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Apple regressed lagged prices vs. current prices

 Current vs Lagged Prices 
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Apple Inc Backtested Returns

Macroaxis considers Apple not too risky given 1 month investment horizon. Apple Inc secures Sharpe Ratio (or Efficiency) of 0.4282 which signifies that Apple Inc had 0.4282% of return per unit of risk over the last 1 month. Our philosophy towards foreseeing volatility of a stock is to use all available market data together with company specific technical indicators that cannot be diversified away. By analyzing Apple Inc technical indicators you can presently evaluate if the expected return of 0.593% is justified by implied risk. Please makes use of Apple Inc Coefficient Of Variation of 251.09, Risk Adjusted Performance of 0.158 and Mean Deviation of 0.7072 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100 Apple holds performance score of 29. The firm shows Beta (market volatility) of -0.1791 which signifies that as returns on market increase, returns on owning Apple are expected to decrease at a much smaller rate. During bear market, Apple is likely to outperform the market.. Although it is vital to follow to Apple Inc historical returns, it is good to be conservative about what you can actually do with the information about equity current trading patterns. The philosophy towards foreseeing future performance of any stock is to evaluate the business as a whole together with its past performance including all available fundamental and technical indicators. We have found twenty-seven technical indicators for Apple Inc which you can use to evaluate performance of the firm. Please makes use of Apple Inc Downside Variance, and the relationship between Treynor Ratio and Kurtosis to make a quick decision on weather Apple price patterns will revert.
Advice Volatility Trend Exposure 
15 days auto-correlation 0.88 

Very good predictability

Apple Inc has very good predictability. Overlapping area represents the amount of predictability between Apple time series from January 28, 2017 to February 12, 2017 and February 12, 2017 to February 27, 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 Apple Inc price movement. The serial correlation of 0.88 indicates that approximately 88.0% of current Apple price fluctuation can be explain by its past prices.
Correlation Coefficient 0.88
Spearman Rank Test 0.79
Price Variance 1.17
Lagged Price Variance 15.13

Apple Lagged Returns

 Regressed Prices 
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Apple Performance vs NYSE

The median price of Apple for the period between Sat, Jan 28, 2017 and Mon, Feb 27, 2017 is 132.12 with a coefficient of variation of 4.31. The daily time series for the period is distributed with a sample standard deviation of 5.63, arithmetic mean of 130.69, and mean deviation of 4.64. The Stock received some media coverage during the period.
February 9, 2017Apple Dividend Paid
Price Growth (%)  
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