Poste Italiane Correlations

PITAF Stock  USD 27.00  0.63  2.39%   
The correlation of Poste Italiane is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.

Poste Italiane Correlation With Market

Poor diversification

The correlation between Poste Italiane SpA and DJI is 0.6 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Poste Italiane SpA and DJI in the same portfolio, assuming nothing else is changed.
  
The ability to find closely correlated positions to Poste Italiane could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Poste Italiane when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Poste Italiane - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Poste Italiane SpA to buy it.

Moving together with Poste Pink Sheet

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  0.76MITSF Mitsui CoPairCorr
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  0.89JNJ Johnson JohnsonPairCorr
  0.75MRK Merck Company Aggressive PushPairCorr
  0.68MCD McDonalds Earnings Call Next WeekPairCorr
  0.67CVX Chevron CorpPairCorr
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Moving against Poste Pink Sheet

  0.78MSFT MicrosoftPairCorr
  0.51MMM 3M CompanyPairCorr
  0.31AAPL Apple Inc Sell-off TrendPairCorr
  0.72HPQ HP IncPairCorr

Related Correlations Analysis


Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations

MTRJFJMHLY
MTRJFJARLF
MTRJFACSAF
ACSAFJMHLY
JARLFJMHLY
HLMAFHALMY
  

High negative correlations

CRWOFHLMAF
CRWOFGPOVF
CRWOFHALMY

Risk-Adjusted Indicators

There is a big difference between Poste Pink Sheet performing well and Poste Italiane Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Poste Italiane's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.
Mean DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
HALMY  1.26  0.02  0.01  0.07  1.42 
 2.08 
 10.77 
HLMAF  1.86  0.07  0.01 (6.42) 2.37 
 3.54 
 16.08 
JMHLY  1.53  0.36  0.17  1.11  1.58 
 3.60 
 11.55 
JARLF  1.18  0.27  0.00  7.21  0.00 
 4.72 
 17.61 
WEICF  3.07  0.98  0.26 (1.56) 2.59 
 6.75 
 37.32 
GPOVF  0.13  0.06  0.00 (3.38) 0.00 
 0.00 
 2.90 
CRWOF  0.54  0.07  0.00  0.16  0.00 
 2.04 
 13.62 
ACSAF  1.26  0.55  0.00 (0.57) 0.00 
 7.33 
 22.58 
MTRJF  0.57  0.27  0.00  0.94  0.00 
 0.00 
 12.06 
KPELY  1.25  0.23  0.12 (3.87) 1.16 
 2.83 
 8.06 

Be your own money manager

Our tools can tell you how much better you can do entering a position in Poste Italiane without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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