Best Buy Backtesting

BBY -- USA Stock  

USD 78.78  0.53  0.68%

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

Best Buy 'What if' Analysis

April 20, 2018
0.00
No Change 0.00  0.0%
In 31 days
May 20, 2018
0.00
If you would invest  0.00  in Best Buy on April 20, 2018 and sell it all today you would earn a total of 0.00 from holding Best Buy Co or generate 0.0% return on investment in Best Buy over 30 days. Best Buy is related to or competes with Macys, Dollar General, Home Depot, Dollar Tree, Vipshop Holdings, Aarons, and BEST BUY. Best Buy Co., Inc. operates as a retailer of technology products, services, and solutions in the United States, Canada, ...

Best Buy Upside/Downside Indicators

Downside Deviation1.04
Maximum Drawdown3.38
Value At Risk1.42
Potential Upside1.67
  

Best Buy Market Premium Indicators

Risk Adjusted Performance0.01

Best Buy Co Backtested Returns

Macroaxis considers Best Buy not too risky given 1 month investment horizon. Best Buy Co secures Sharpe Ratio (or Efficiency) of 0.3655 which signifies that Best Buy Co had 0.3655% 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. We have found twenty technical indicators for Best Buy Co which you can use to evaluate future volatility of the firm. Please makes use of Best Buy Co Downside Deviation of 1.04, Risk Adjusted Performance of 0.01 and Mean Deviation of 0.8845 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100 Best Buy holds performance score of 24. The firm shows Beta (market volatility) of 0.0 which signifies that the returns on MARKET and Best Buy are completely uncorrelated. Although it is vital to follow to Best Buy Co historical returns, it is good to be conservative about what you can actually do with the information regarding equity current trending 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. By analyzing Best Buy Co technical indicators you can presently evaluate if the expected return of 0.3649% will be sustainable into the future. Please makes use of Best Buy Co Standard Deviation, Value At Risk as well as the relationship between Value At Risk and Skewness to make a quick decision on weather Best Buy price patterns will revert.
Advice Volatility Trend Exposure Correlations
15 days auto-correlation 0.91 

Excellent predictability

Best Buy Co has excellent predictability. Overlapping area represents the amount of predictability between Best Buy time series from April 20, 2018 to May 5, 2018 and May 5, 2018 to May 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 Best Buy Co price movement. The serial correlation of 0.91 indicates that approximately 91.0% of current Best Buy price fluctuation can be explain by its past prices.
Correlation Coefficient 0.91
Spearman Rank Test 0.65
Price Variance 1.38
Lagged Price Variance 2.05

Best Buy Co lagged returns against current returns

 Current and Lagged Values 
      Timeline 

Best Buy regressed lagged prices vs. current prices

 Current vs Lagged Prices 
      Timeline 

Best Buy Lagged Returns

 Regressed Prices 
      Timeline 

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Check also Best Buy Hype Analysis, Best Buy Correlation, Best Buy Valuation, Best Buy Volatility as well as analyze Best Buy Alpha and Beta and Best Buy Performance. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.