Mfs Emerging Markets Fund Equity Positions Weight
| EMLBX Fund | USD 5.34 0.02 0.38% |
Mfs Emerging Markets fundamentals help investors to digest information that contributes to Mfs Emerging's financial success or failures. It also enables traders to predict the movement of Mfs Mutual Fund. The fundamental analysis module provides a way to measure Mfs Emerging'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 Mfs Emerging mutual fund.
Mfs |
Mfs Emerging Markets Mutual Fund Equity Positions Weight Analysis
Mfs Emerging's Percentage of fund asset invested in equity instruments. About 80% of global funds and ETFs carry equity instruments on their balance sheet.
More About Equity Positions Weight | All Equity Analysis
Stock Percentage | = | % of Equities | in the fund |
Funds with most asset allocated to stocks can be subclassified into many different categories such as market capitalization or investment style.
| Competition |
According to the company disclosure, Mfs Emerging Markets has an Equity Positions Weight of 0.0%. This indicator is about the same for the MFS average (which is currently at 0.0) family and about the same as Emerging-Markets Local-Currency Bond (which currently averages 0.0) category. This indicator is about the same for all United States funds average (which is currently at 0.0).
Mfs Equity Positions Weight Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Mfs Emerging's direct or indirect competition against its Equity Positions Weight to detect undervalued stocks with similar characteristics or determine the mutual funds which would be a good addition to a portfolio. Peer analysis of Mfs Emerging could also be used in its relative valuation, which is a method of valuing Mfs Emerging by comparing valuation metrics of similar companies.Mfs Emerging is currently under evaluation in equity positions weight among similar funds.
Fund Asset Allocation for Mfs Emerging
The fund consists of 87.17% investments in fixed income securities, with the rest of funds allocated in cash and various exotic instruments.Asset allocation divides Mfs Emerging'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.
Mfs Fundamentals
| Total Asset | 445.73 M | ||||
| Annual Yield | 0.04 % | ||||
| Year To Date Return | 11.86 % | ||||
| One Year Return | (1.47) % | ||||
| Three Year Return | (3.12) % | ||||
| Five Year Return | (0.75) % | ||||
| Net Asset | 325.92 M | ||||
| Last Dividend Paid | 0.02 | ||||
| Cash Position Weight | 8.70 % | ||||
| Bond Positions Weight | 87.17 % |
About Mfs Emerging Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Mfs Emerging Markets's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Mfs Emerging using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Mfs Emerging Markets 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.
Pair Trading with Mfs Emerging
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 Mfs Emerging 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 Mfs Emerging will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Mfs Emerging could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Mfs Emerging 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 Mfs Emerging - 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 Mfs Emerging Markets to buy it.
The correlation of Mfs Emerging 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 Mfs Emerging moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mfs Emerging Markets 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 Mfs Emerging 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.Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Mfs Emerging Markets. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of labor statistics. Note that the Mfs Emerging Markets information on this page should be used as a complementary analysis to other Mfs Emerging'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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.