Azure Power Correlations

AZREF Stock   1.00  0.00  0.00%   
The correlation of Azure Power 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.

Azure Power Correlation With Market

Good diversification

The correlation between Azure Power Global and DJI is -0.03 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Azure Power Global and DJI in the same portfolio, assuming nothing else is changed.
  
The ability to find closely correlated positions to Azure Power could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Azure Power 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 Azure Power - 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 Azure Power Global to buy it.

Moving against Azure Pink Sheet

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  0.47NOEM CO2 Energy TransitionPairCorr
  0.42GWW WW GraingerPairCorr
  0.38DDS Dillards,PairCorr
  0.35ULTA Ulta BeautyPairCorr
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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

SHUNFWNDW
WNDWWEGYF
SHUNFWEGYF
WNDWSMAYF
SHUNFSMAYF
SMAYFWEGYF
  

High negative correlations

EWCLFTDWRF
SMTLFWEGYF
SMTLFGIPIF
WNDWSMTLF
SHUNFSMTLF
SMTLFSMAYF

Risk-Adjusted Indicators

There is a big difference between Azure Pink Sheet performing well and Azure Power 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 Azure Power'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
MOTNF  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
GIPIF  0.27 (0.06) 0.00  0.20  0.00 
 0.00 
 12.95 
WEGYF  2.19 (0.58) 0.00 (0.30) 0.00 
 3.97 
 18.65 
SMAYF  2.63  0.36  0.00  80.91  0.00 
 0.00 
 75.37 
SMTLF  5.65  2.47  0.00 (1.16) 0.00 
 0.00 
 132.54 
TDWRF  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
EWCLF  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
WNDW  5.70 (0.53) 0.00 (0.36) 0.00 
 13.64 
 47.92 
CLMOF  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
SHUNF  1.34 (0.59) 0.00  0.53  0.00 
 0.00 
 44.74 

Azure Power Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Azure Power pink sheet to make a market-neutral strategy. Peer analysis of Azure Power could also be used in its relative valuation, which is a method of valuing Azure Power by comparing valuation metrics with similar companies.
 Risk & Return  Correlation