Sprint Backtesting

S -- USA Stock  

Quarterly Earning Report: October 30, 2019  

With this equity back-testing module your can estimate the performance of a buy and hold strategy of Sprint Corporation and determine expected loss or profit from investing in Sprint over given investment horizon. Also please take a look at Sprint Hype Analysis, Sprint Correlation, Sprint Valuation, Sprint Volatility as well as analyze Sprint Alpha and Beta and Sprint Performance.
Horizon     30 Days    Login   to change
SymbolX
Backtest

Sprint 'What if' Analysis

July 17, 2019
0.00
No Change 0.00  0.0 
In 3 months and 1 day
October 15, 2019
0.00
If you would invest  0.00  in Sprint on July 17, 2019 and sell it all today you would earn a total of 0.00 from holding Sprint Corporation or generate 0.0% return on investment in Sprint over 90 days. Sprint is related to or competes with UTStarcom Holdings, ATT, Verizon Communications, Telephone And, Zayo Group, and Liberty Broadband. Sprint Corporation, together with its subsidiaries, provides a range of wireless and wireline communications products an...

Sprint Upside/Downside Indicators

Information Ratio(0.04821)
Maximum Drawdown13.89
Value At Risk(2.92)
Potential Upside2.12

Sprint Market Premium Indicators

Risk Adjusted Performance(0.047645)
Jensen Alpha(0.11)
Total Risk Alpha(0.07)
Treynor Ratio(0.15)

Sprint Backtested Returns

Macroaxis considers Sprint to be relatively risky. Sprint owns Efficiency Ratio (i.e. Sharpe Ratio) of -0.0542 which indicates the firm had -0.0542% of return per unit of risk over the last 3 months. Macroaxis philosophy towards measuring risk of any stock is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators. Sprint Corporation exposes twenty-one different technical indicators which can help you to evaluate volatility that cannot be diversified away. Please be advised to validate Sprint Risk Adjusted Performance of (0.047645) and Coefficient Of Variation of (1,829) to confirm risk estimate we provide. The entity has beta of 0.8749 which indicates Sprint returns are very sensitive to returns on the market. as market goes up or down, Sprint is expected to follow. Even though it is essential to pay attention to Sprint current price movements, it is always good to be careful when utilizing equity historical returns. Macroaxis philosophy towards measuring future performance of any stock is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Sprint Corporation exposes twenty-one different technical indicators which can help you to evaluate its performance. Sprint has expected return of -0.1176%. Please be advised to validate Sprint Information Ratio and Downside Variance to decide if Sprint past performance will be repeated at some point in the near future.
Advice Volatility Trend Exposure Correlations
15 days auto-correlation 0.64 
correlation synergy

Good predictability

Sprint Corporation has good predictability. Overlapping area represents the amount of predictability between Sprint time series from July 17, 2019 to August 31, 2019 and August 31, 2019 to October 15, 2019. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Sprint price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current Sprint price fluctuation can be explain by its past prices.
Correlation Coefficient0.64
Spearman Rank Test0.73
Residual Average0.0
Price Variance0.1

Sprint lagged returns against current returns

 Current and Lagged Values 
      Timeline 

Sprint regressed lagged prices vs. current prices

 Current vs Lagged Prices 
      Timeline 

Sprint Lagged Returns

 Regressed Prices 
      Timeline 

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Also please take a look at Sprint Hype Analysis, Sprint Correlation, Sprint Valuation, Sprint Volatility as well as analyze Sprint Alpha and Beta and Sprint Performance. Please also try Equity Valuation module to check real value of public entities based on technical and fundamental data.
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