NASDAQ Italy (Italy) Backtesting

NQIT -- Italy Index  

 1,180  1.63  0.14%

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

NASDAQ Italy 'What if' Analysis

September 15, 2019
0.00
No Change 0.00  0.0 
In 3 months and 1 day
December 14, 2019
0.00
If you would invest  0.00  in NASDAQ Italy on September 15, 2019 and sell it all today you would earn a total of 0.00 from holding NASDAQ Italy or generate 0.0% return on investment in NASDAQ Italy over 90 days.

NASDAQ Italy Upside/Downside Indicators

Downside Deviation1.63
Information Ratio(0.037695)
Maximum Drawdown4.34
Value At Risk(0.35)
Potential Upside1.21

NASDAQ Italy Market Premium Indicators

Risk Adjusted Performance0.0313
Total Risk Alpha(0.022746)
Sortino Ratio(0.013981)

NASDAQ Italy Backtested Returns

NASDAQ Italy has Sharpe Ratio of 0.0595 which conveys that the index had 0.0595% of return per unit of standard deviation over the last 3 months. Our approach into estimating volatility of an index is to use all available market data together with index specific technical indicators that cannot be diversified away. We have found twenty-eight technical indicators for NASDAQ Italy which you can use to evaluate future volatility of the entity. The entity secures Beta (Market Risk) of 0.0 which conveys that the returns on MARKET and NASDAQ Italy are completely uncorrelated. Although it is extremely important to respect NASDAQ Italy price patterns, it is better to be realistic regarding the information on equity historical price patterns. The approach into estimating 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 inspecting NASDAQ Italy technical indicators you can now evaluate if the expected return of 0.0723% will be sustainable into the future.
Advice Volatility Trend Exposure Correlations
15 days auto-correlation(0.19) 
correlation synergy

Insignificant reverse predictability

NASDAQ Italy has insignificant reverse predictability. Overlapping area represents the amount of predictability between NASDAQ Italy time series from September 15, 2019 to October 30, 2019 and October 30, 2019 to December 14, 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 NASDAQ Italy price movement. The serial correlation of -0.19 indicates that over 19.0% of current NASDAQ Italy price fluctuation can be explain by its past prices. Given that NASDAQ Italy has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of NASDAQ Italy for similar time interval.
Correlation Coefficient-0.19
Spearman Rank Test0.01
Residual Average0.0
Price Variance133.0

NASDAQ Italy lagged returns against current returns

 Current and Lagged Values 
      Timeline 

NASDAQ Italy regressed lagged prices vs. current prices

 Current vs Lagged Prices 
      Timeline 

NASDAQ Italy Lagged Returns

 Regressed Prices 
      Timeline 

Current Sentiment - NQIT

NASDAQ Italy Investor Sentiment

Most of Macroaxis investors are at this time bullish on NASDAQ Italy. What is your trading attitude regarding investing in Italy companies? Are you bullish or bearish on NASDAQ Italy?
Bullish
Bearish
98% Bullish
2% Bearish
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See also NASDAQ Italy Hype Analysis, NASDAQ Italy Correlation, Portfolio Optimization, NASDAQ Italy Volatility as well as analyze NASDAQ Italy Alpha and Beta and NASDAQ Italy Performance. Please also try Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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