Quadratic Deflation Etf Three Year Return

BNDD Etf  USD 14.67  0.22  1.48%   
Quadratic Deflation ETF fundamentals help investors to digest information that contributes to Quadratic Deflation's financial success or failures. It also enables traders to predict the movement of Quadratic Etf. The fundamental analysis module provides a way to measure Quadratic Deflation's 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 Quadratic Deflation 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.

Quadratic Deflation ETF ETF Three Year Return Analysis

Quadratic Deflation's Tree Year Return shows the total annualized return generated from holding a fund or ETFs for the last three years. The return measure includes capital appreciation, losses, dividends paid, and all capital gains distributions. This return indicator is considered by many investors to be solid measures of fund mid-term performance.

Three Year Return

 = 

(Mean of Monthly Returns - 1)

X

100%

More About Three Year Return | All Equity Analysis
Although Three Year Fund Return indicator can give a sense of overall fund mid-term potential, it is recommended to compare fund performances against other similar funds, ETFs, or market benchmarks for the same 3 year interval.
Competition

Based on the latest financial disclosure, Quadratic Deflation ETF has a Three Year Return of 0.0%. This indicator is about the same for the Kraneshares Trust average (which is currently at 0.0) family and about the same as Long Government (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).

Quadratic Three Year Return Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Quadratic Deflation's direct or indirect competition against its Three Year Return to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of Quadratic Deflation could also be used in its relative valuation, which is a method of valuing Quadratic Deflation by comparing valuation metrics of similar companies.
Quadratic Deflation is currently under evaluation in three year return as compared to similar ETFs.

Quadratic Fundamentals

About Quadratic Deflation Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Quadratic Deflation ETF's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Quadratic Deflation using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Quadratic Deflation ETF 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 Quadratic Deflation

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 Quadratic Deflation 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 Quadratic Deflation will appreciate offsetting losses from the drop in the long position's value.

Moving against Quadratic Etf

  0.76PLW Invesco Symbol ChangePairCorr
  0.42TYA Simplify Exchange TradedPairCorr
The ability to find closely correlated positions to Quadratic Deflation could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Quadratic Deflation 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 Quadratic Deflation - 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 Quadratic Deflation ETF to buy it.
The correlation of Quadratic Deflation 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 Quadratic Deflation moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Quadratic Deflation ETF 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 Quadratic Deflation 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 Quadratic Deflation ETF is a strong investment it is important to analyze Quadratic Deflation's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Quadratic Deflation's future performance. For an informed investment choice regarding Quadratic Etf, refer to the following important reports:
Check out Quadratic Deflation Piotroski F Score and Quadratic Deflation Altman Z Score analysis.
Note that the Quadratic Deflation ETF information on this page should be used as a complementary analysis to other Quadratic Deflation's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
The market value of Quadratic Deflation ETF is measured differently than its book value, which is the value of Quadratic that is recorded on the company's balance sheet. Investors also form their own opinion of Quadratic Deflation's value that differs from its market value or its book value, called intrinsic value, which is Quadratic Deflation's 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 Quadratic Deflation's market value can be influenced by many factors that don't directly affect Quadratic Deflation's 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 Quadratic Deflation's value and its price as these two are different measures arrived at by different means. Investors typically determine if Quadratic Deflation is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Quadratic Deflation's 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.