Virtus Allianzgi Artificial Fund Fundamentals

AIO Fund  USD 24.57  0.27  1.11%   
Virtus Allianzgi Artificial fundamentals help investors to digest information that contributes to Virtus Allianzgi's financial success or failures. It also enables traders to predict the movement of Virtus Fund. The fundamental analysis module provides a way to measure Virtus Allianzgi'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 Virtus Allianzgi fund.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Virtus Allianzgi Artificial Fund Three Year Return Analysis

Virtus Allianzgi'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

Current Virtus Allianzgi Three Year Return

    
  4.21 %  
Most of Virtus Allianzgi's fundamental indicators, such as Three Year Return, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Virtus Allianzgi Artificial is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
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, Virtus Allianzgi Artificial has a Three Year Return of 4.2149%. This is much higher than that of the family and significantly higher than that of the Technology category. The three year return for all United States funds is notably lower than that of the firm.

Virtus Allianzgi Art Fundamental Drivers Relationships

Comparative valuation techniques use various fundamental indicators to help in determining Virtus Allianzgi's current stock value. Our valuation model uses many indicators to compare Virtus Allianzgi value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Virtus Allianzgi competition to find correlations between indicators driving Virtus Allianzgi's intrinsic value. More Info.
Virtus Allianzgi Artificial is third largest fund in price to earning among similar funds. It is the top fund in annual yield among similar funds . The ratio of Price To Earning to Annual Yield for Virtus Allianzgi Artificial is about  444.44 . The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Virtus Allianzgi's earnings, one of the primary drivers of an investment's value.

Virtus Three Year Return Peer Comparison

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

Virtus Fundamentals

About Virtus Allianzgi Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Virtus Allianzgi Artificial's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Virtus Allianzgi using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Virtus Allianzgi Artificial based on its fundamental data. In general, a quantitative approach, as applied to this fund, 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.
Virtus Allianzgi is entity of United States. It is traded as Fund on NYSE exchange.

Pair Trading with Virtus Allianzgi

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 Virtus Allianzgi 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 Virtus Allianzgi will appreciate offsetting losses from the drop in the long position's value.

Moving together with Virtus Fund

  0.93VITAX Vanguard InformationPairCorr
  0.93FSPTX Technology PortfolioPairCorr
  0.75FSELX Fidelity Select SemiPairCorr
  0.91FSCSX Software And ItPairCorr
  0.96SLMCX Columbia SeligmanPairCorr

Moving against Virtus Fund

  0.82KF Korea ClosedPairCorr
  0.33BRUFX Bruce Fund BrucePairCorr
The ability to find closely correlated positions to Virtus Allianzgi could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Virtus Allianzgi 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 Virtus Allianzgi - 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 Virtus Allianzgi Artificial to buy it.
The correlation of Virtus Allianzgi 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 Virtus Allianzgi moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Virtus Allianzgi Art 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 Virtus Allianzgi 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

Other Information on Investing in Virtus Fund

Virtus Allianzgi financial ratios help investors to determine whether Virtus Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Virtus with respect to the benefits of owning Virtus Allianzgi security.
Equity Valuation
Check real value of public entities based on technical and fundamental data
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk