Ipath Series B Etf Target Price

GRN Etf  USD 27.45  0.45  1.61%   
iPath Series B fundamentals help investors to digest information that contributes to IPath Series' financial success or failures. It also enables traders to predict the movement of IPath Etf. The fundamental analysis module provides a way to measure IPath Series' intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to IPath Series etf.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Did you try this?

Run Portfolio Volatility Now

   

Portfolio Volatility

Check portfolio volatility and analyze historical return density to properly model market risk
All  Next Launch Module

IPath Fundamentals

About IPath Series Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze iPath Series B's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of IPath Series using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of iPath Series B based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

Pair Trading with IPath Series

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 IPath Series 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 IPath Series will appreciate offsetting losses from the drop in the long position's value.

Moving against IPath Etf

  0.36SLV iShares Silver TrustPairCorr
  0.36SIVR abrdn Physical SilverPairCorr
  0.35GLTR abrdn Physical PreciousPairCorr
  0.31GLD SPDR Gold SharesPairCorr
  0.31IAU iShares Gold TrustPairCorr
The ability to find closely correlated positions to IPath Series could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IPath Series 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 IPath Series - 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 iPath Series B to buy it.
The correlation of IPath Series 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 IPath Series moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iPath Series B 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 IPath Series 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.
Pair CorrelationCorrelation Matching
When determining whether iPath Series B offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IPath Series' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Ipath Series B Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ipath Series B Etf:
Check out IPath Series Piotroski F Score and IPath Series Altman Z Score analysis.
You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
The market value of iPath Series B is measured differently than its book value, which is the value of IPath that is recorded on the company's balance sheet. Investors also form their own opinion of IPath Series' value that differs from its market value or its book value, called intrinsic value, which is IPath Series' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because IPath Series' market value can be influenced by many factors that don't directly affect IPath Series' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between IPath Series' value and its price as these two are different measures arrived at by different means. Investors typically determine if IPath Series is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IPath Series' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.