E Shopping Correlations
| ESG Stock | 0.58 0.03 5.45% |
The current 90-days correlation between E shopping Group and Banco Santander SA is 0.03 (i.e., Significant diversification). The correlation of E Shopping 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. If the correlation is 0, the equities are not correlated; they are entirely random.
E Shopping Correlation With Market
Significant diversification
The correlation between E shopping Group SA and DJI is 0.01 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding E shopping Group SA and DJI in the same portfolio, assuming nothing else is changed.
ESG |
The ability to find closely correlated positions to E Shopping could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace E Shopping 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 E Shopping - 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 E shopping Group SA to buy it.
Moving together with ESG Stock
| 0.79 | PKN | Polski Koncern Naftowy | PairCorr |
| 0.87 | ALE | Allegroeu SA | PairCorr |
| 0.9 | KGH | KGHM Polska Miedz | PairCorr |
| 0.76 | PCO | Pepco Group BV | PairCorr |
Moving against ESG Stock
| 0.82 | DNP | Dino Polska SA | PairCorr |
| 0.8 | XTB | X Trade Brokers | PairCorr |
| 0.78 | CEZ | CEZ as | PairCorr |
| 0.78 | BTK | Biztech Konsulting | PairCorr |
| 0.75 | PZU | Powszechny Zaklad | PairCorr |
| 0.59 | CFS | Centrum Finansowe Banku | PairCorr |
| 0.32 | EXA | Examobile SA | PairCorr |
Related Correlations Analysis
| 0.53 | 0.07 | -0.09 | 0.33 | 0.04 | 0.18 | SAN | ||
| 0.53 | 0.02 | -0.16 | 0.21 | 0.1 | 0.11 | UCG | ||
| 0.07 | 0.02 | -0.77 | -0.14 | -0.81 | -0.5 | CEZ | ||
| -0.09 | -0.16 | -0.77 | -0.07 | 0.82 | 0.43 | PKN | ||
| 0.33 | 0.21 | -0.14 | -0.07 | 0.03 | 0.74 | SPL | ||
| 0.04 | 0.1 | -0.81 | 0.82 | 0.03 | 0.47 | KGH | ||
| 0.18 | 0.11 | -0.5 | 0.43 | 0.74 | 0.47 | PEO | ||
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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
| High negative correlations
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Risk-Adjusted Indicators
There is a big difference between ESG Stock performing well and E Shopping 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 E Shopping'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 Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| SAN | 1.17 | (0.06) | 0.00 | 0.22 | 0.00 | 2.18 | 7.02 | |||
| UCG | 1.41 | 0.08 | 0.02 | (0.13) | 1.83 | 3.41 | 9.81 | |||
| CEZ | 1.24 | 0.15 | 0.10 | 0.46 | 1.30 | 2.82 | 11.82 | |||
| PKN | 1.34 | (0.30) | 0.00 | 1.31 | 0.00 | 2.39 | 10.33 | |||
| SPL | 1.44 | (0.02) | 0.00 | 0.21 | 0.00 | 3.71 | 11.50 | |||
| KGH | 1.62 | (0.30) | 0.00 | 0.48 | 0.00 | 3.69 | 14.11 | |||
| PEO | 1.57 | (0.13) | 0.00 | 0.92 | 0.00 | 3.31 | 11.84 |
E Shopping 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 E Shopping stock to make a market-neutral strategy. Peer analysis of E Shopping could also be used in its relative valuation, which is a method of valuing E Shopping by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |