Total Return Bond Fund One Year Return

MBFCX Fund  USD 11.04  0.02  0.18%   
Total Return Bond fundamentals help investors to digest information that contributes to Total Return's financial success or failures. It also enables traders to predict the movement of Total Mutual Fund. The fundamental analysis module provides a way to measure Total Return'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 Total Return 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.

Total Return Bond Mutual Fund One Year Return Analysis

Total Return's One Year Return is the annualized return generated from holding a security for exactly 12 months. The measure is considered to be good short-term measures of fund performance. In other words, it represents the capital appreciation of fund investments over the last year. However when the market is volatile such as in recent years, One Year Return measure can be misleading.

One Year Return

 = 

(Mean of Monthly Returns - 1)

X

100%

More About One Year Return | All Equity Analysis

Current Total Return One Year Return

    
  0.70 %  
Most of Total Return's fundamental indicators, such as One 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, Total Return Bond is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.
Competition

Based on the recorded statements, Total Return Bond has an One Year Return of 0.7013%. This is much higher than that of the Allspring Global Investments family and significantly higher than that of the Intermediate Core Bond category. The one year return for all United States funds is notably lower than that of the firm.

Total One Year Return Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Total Return's direct or indirect competition against its One Year 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 Total Return could also be used in its relative valuation, which is a method of valuing Total Return by comparing valuation metrics of similar companies.
Total Return is currently under evaluation in one year return among similar funds.

Fund Asset Allocation for Total Return

The fund invests most of its assets under management in various types of exotic instruments, with the rest of asset invested in bonds and cash equivalents.
Asset allocation divides Total Return'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.

Total Fundamentals

About Total Return Fundamental Analysis

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

Total Return financial ratios help investors to determine whether Total 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 Total with respect to the benefits of owning Total Return security.
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
USA ETFs
Find actively traded Exchange Traded Funds (ETF) in USA
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm