Applied Finance Core Fund Year To Date Return

AFAZX Fund  USD 12.50  0.16  1.30%   
Applied Finance Core fundamentals help investors to digest information that contributes to Applied Finance's financial success or failures. It also enables traders to predict the movement of Applied Mutual Fund. The fundamental analysis module provides a way to measure Applied Finance'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 Applied Finance mutual 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.

Applied Finance Core Mutual Fund Year To Date Return Analysis

Applied Finance's Year to Date Return (YTD) is the total return generated from holding a security from the beginning of the current fiscal year. In other words, YTD Return represents the capital appreciation of your investments from the start of the current fiscal year.

YTD Return

 = 

(Mean of Monthly Returns - 1)

X

100%

More About Year To Date Return | All Equity Analysis

Current Applied Finance Year To Date Return

    
  18.37 %  
Most of Applied Finance's fundamental indicators, such as Year To Date 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, Applied Finance Core is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Year-To-Date typically refers to a period starting from the beginning of the current year and continuing up to the present day. Investors should becareful when comparing YTD ratios if not much of the year has occurred as research shows that YTD measures are more sensitive to early periods than late.
Competition

In accordance with the company's disclosures, Applied Finance Core has a Year To Date Return of 18.3712%. This is much higher than that of the Applied Finance family and significantly higher than that of the Large Value category. The year to date return for all United States funds is notably lower than that of the firm.

Applied Year To Date Return Peer Comparison

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

Fund Asset Allocation for Applied Finance

The fund consists of 97.68% investments in stocks, with the rest of investments allocated between different money market instruments and various exotic instruments.
Asset allocation divides Applied Finance'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.

Applied Fundamentals

About Applied Finance Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Applied Finance Core's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Applied Finance using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Applied Finance Core based on its fundamental data. In general, a quantitative approach, as applied to this mutual 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in Applied Mutual Fund

Applied Finance financial ratios help investors to determine whether Applied Mutual 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 Applied with respect to the benefits of owning Applied Finance security.
Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk