Agfiq Etf Three Year Return

AGFiQ fundamentals help investors to digest information that contributes to AGFiQ's financial success or failures. It also enables traders to predict the movement of AGFiQ Etf. The fundamental analysis module provides a way to measure AGFiQ'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 AGFiQ 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.

AGFiQ ETF Three Year Return Analysis

AGFiQ'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 AGFiQ Three Year Return

    
  5.92 %  
Most of AGFiQ'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, AGFiQ 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

AGFiQ Three Year Return Component Assessment

Based on the latest financial disclosure, AGFiQ has a Three Year Return of 5.92%. This is 16.31% higher than that of the AGFiQ family and 16.31% higher than that of the Long-Short Equity category. The three year return for all United States etfs is 83.28% lower than that of the firm.

AGFiQ Three Year Return Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses AGFiQ'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 AGFiQ could also be used in its relative valuation, which is a method of valuing AGFiQ by comparing valuation metrics of similar companies.
AGFiQ is currently under evaluation in three year return as compared to similar ETFs.

Fund Asset Allocation for AGFiQ

The fund invests 50.15% of asset under management in tradable equity instruments, with the rest of investments concentrated in various types of exotic instruments.
Asset allocation divides AGFiQ's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.

AGFiQ Fundamentals

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards AGFiQ in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, AGFiQ's short interest history, or implied volatility extrapolated from AGFiQ options trading.

Pair Trading with AGFiQ

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 AGFiQ 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 AGFiQ will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Exelon could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Exelon 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 Exelon - 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 Exelon to buy it.
The correlation of Exelon 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 Exelon moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Exelon 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 Exelon 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
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in real.
You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

Other Tools for AGFiQ Etf

When running AGFiQ's price analysis, check to measure AGFiQ's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy AGFiQ is operating at the current time. Most of AGFiQ's value examination focuses on studying past and present price action to predict the probability of AGFiQ's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AGFiQ's price. Additionally, you may evaluate how the addition of AGFiQ to your portfolios can decrease your overall portfolio volatility.
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