WEBs Defined Financial Statements From 2010 to 2026
| DVXP Etf | 26.61 0.56 2.15% |
Check WEBs Defined financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among WEBs Defined's main balance sheet or income statement drivers, such as , as well as many indicators such as . WEBs financial statements analysis is a perfect complement when working with WEBs Defined Valuation or Volatility modules.
This module can also supplement various WEBs Defined Technical models . Check out the analysis of WEBs Defined Correlation against competitors. Pair Trading with WEBs Defined
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if WEBs Defined position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in WEBs Defined will appreciate offsetting losses from the drop in the long position's value.Moving together with WEBs Etf
| 0.99 | XLP | Consumer Staples Select Aggressive Push | PairCorr |
| 0.98 | KXI | iShares Global Consumer | PairCorr |
| 0.96 | FSTA | Fidelity MSCI Consumer | PairCorr |
| 0.89 | FTXG | First Trust Nasdaq | PairCorr |
| 0.98 | RHS | Invesco SP 500 | PairCorr |
Moving against WEBs Etf
The ability to find closely correlated positions to WEBs Defined could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace WEBs Defined 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 WEBs Defined - 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 WEBs Defined Volatility to buy it.
The correlation of WEBs Defined 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 perfect positive correlation (i.e., a correlation coefficient of +1) implies that as WEBs Defined moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if WEBs Defined Volatility moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for WEBs Defined can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out the analysis of WEBs Defined Correlation against competitors. You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
The market value of WEBs Defined Volatility is measured differently than its book value, which is the value of WEBs that is recorded on the company's balance sheet. Investors also form their own opinion of WEBs Defined's value that differs from its market value or its book value, called intrinsic value, which is WEBs Defined's true underlying value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Because WEBs Defined's market value can be influenced by many factors that don't directly affect WEBs Defined's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between WEBs Defined's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding WEBs Defined should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, WEBs Defined's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.