Each security in a fund portfolio is assigned a detailed asset classification, known as the Detail Type Id. In September 2011 Morningstar updated the list of Detail Type codes.
In MM, 2010 Morningstar introduced a new percentile ranking methodology called Distinct Portfolio Category Ranks.
Performance attribution analysis consists of comparing a portfolio's performance with that of a benchmark and decomposing the excess return into pieces to explain the impact of various portfolio management decisions.
The paper outlines different expense ratio applicable to managed products.
This methodology paper is designed by Morningstar Europe to provide technical guidance and govern all requests by fund providers wishing to append track records of one collective investment scheme to that of another.
Morningstar places fixed income funds in one of the nine squares of the Morningstar Style Box based on each fund’s duration and average credit quality.
In Canada, Fixed Income funds that are displayed on Morningstar tools may be subject to two different methodologies depending on which tool they appear on.
The Morningstar Style Box provides an intuitive visual representation of style that helps investors build better portfolios and monitor them more accurately
The updated Morningstar Style Box provides an intuitive visual representation of style that helps investors build better portfolios and monitor them more accurately. This methodology document addresses the Morningstar Fixed-Income Style Box™. The Morningstar Style Box helps investors and advisors determine the investment style of a fund.
The data that drive the fixed income style box is surveyed from fund companies. Morningstar asks fund companies to send the following information on a monthly or quarterly basis for each of their fixed-income and allocation funds.
The paper outlines global category definitions.
Morningstar’s proprietary classification system is comprised of 11 sectors, 69 industry groups and 148 industries.
Sector groups and sectors can be defined by the parameters detailed in the methodology and based on the portfolio statistics of the most recent portfolio holdings data
There are multiple ways to define a fund’s inception date for purposes of return and ratings calculations.
Portfolio diversification is generally thought of in terms of market capitalization and investment style, yet sector diversification is equally important.
The Morningstar Manager Benchmarks offer a distinct view into a full range of managed investments for incisive performance, portfolio, and operations data analysis that better captures how money mangers and consultants view the manager and investment universes.
Numerous academic studies have shown the existence of a momentum effect in stock performance.
Investors often evaluate how reasonable a stock’s price is by looking at a price ratio, such as price-to-earnings (P/E), price-to-book (P/B), price-to-cash flow (P/C), or price-to-sales (P/S).
All managed products are subject to the risk that they may lose value because of the strategies they pursue, the types of securities they invest in, and the uncertainties of investing in general.
Morningstar's Strategy Database identifies investment undertakings managed by a single team following the same investment process.
Synthetic ETFs are exchange-traded funds that use over-the-counter derivatives to replicate an index return.
The Federal Reserve Board publishes a group of Treasury bond interest rates of various maturities. These are named Treasury Constant Maturities, the best known being the Ten-Year Treasury Constant Maturity.
For an investor, risk is not merely the volatility of returns, but the possibility of losing money.
The Morningstar Category™ classification system for funds lets institutions, advisers and investors effectively compare like funds.
The Morningstar Category™ classification system for funds lets institutions, advisers and investors effectively compare like funds.
The Morningstar Category™ classification system for funds lets institutions, advisers and investors effectively compare like funds.
Morningstar Indexes were created to provide investors with accurate benchmarks for performance measurement, as well as offering discrete building blocks for portfolio construction.
Morningstar’s aim is to help investors determine a Listed Investment Companies (LICs) overall investment merit to help them construct diversified portfolios and achieve their goals.
The paper details Morningstar's custom yield calculation.
This document supplements the methodology document for the Morningstar Style BoxTM. This provides additional information about how to rescale the size score for a fund
The Sector Delta is an equilateral triangle that depicts a portfolio’s super sector allocation, relative to a benchmark, on a two dimensional space.
When it comes to the benchmarking of target maturity funds, the cart has been in front of the horse.
Morningstar has a rich tradition of holdings-based analysis of mutual funds and other investment portfolios. The portfolio holdings provide insight into the manager’s strategy and help investors determine if an investment might be appropriate for them.
The Similar Funds tool will generate a list of investments that are similar to a user-specified offering. This methodology is based upon several factors including the category, special criteria, portfolio allocation, and performance of the fund provided.
An essential complement to our database of investment information and our suite of quantitative research tools, Morningstar's target-date series analysis focuses on helping fiduciaries make better investment decisions with plan participants' retirement funds
In its annual Target-Date Industry Survey, Morningstar shines a sweeping light across target-date funds, which have become a primary tool for Americans’ retirement savings.
A commonly used measure of return volatility is the standard deviation of monthly returns multiplied by to express it in the same unit as annual return
Morningstar’s UIT composite return combines the returns of each series within a strategy to measure how the strategy has performed over different time periods
Morningstar Credit Ratings Definitions and Other Related Opinions and Identifiers
This document sets forth Morningstar's credit definitions, ratings symbols and other related opinions and identifiers for evaluating the credit risk in structured finance transactions and corporate and financial institution obligations.
Ratings of individual debt instruments may be adjusted up or down from the Consolidated Corporate Rating to take into account the individual security's priority of payment. Priority of payment for an individual debt instrument is determined by its issuer's place in the corporate structure, its seniority with respect to other debt, and the collateral securing it (if any).
Morningstar's bank credit rating methodology is based on the same key components, or pillars, as its methodology for nonfinancial corporations: Business Risk, Solvency, Distance to Default, and a bank stress test, which is analogous to the Cash Flow Cushion for nonfinancial corporations. The methodology combines qualitative judgments with observable financial and market data to arrive at a model-derived credit score. However, the model score is only an input to the rating committee's final rating decision. The rating committee may accept or modify the model score to take into account trends in performance, anticipated company actions, or macroeconomic developments that may not be reflected in the model.
This methodology document addresses the target-date fund series rating and research reports methodology. Morningstar Target-Date Fund Series Ratings and Research Reports are designed to help individual investors, financial advisors, plan sponsors, and other interested fiduciaries make informed decisions when evaluating a series of target-date funds.
This document is for the investment managers, transfer agents and custodians who send portfolio reports to Morningstar. It covers how portfolio files should be organized in order to ensure that Morningstar can process files in a timely and accurate manner. In particular, it references futures, forwards, short positions, swaps, and options that are held by mutual funds and other managed products.
This document addresses the Morningstar estimated performance methodology.
This document addresses the Morningstar Equity Research performance methodology overview.
This document sets forth Morningstar's definitions and descriptions of its ratings symbols, ratings outlooks, and surveillance for evaluating the credit risk in structured finance transactions. Morningstar’s determination to review a structured finance transaction is performed on a case by case basis in accordance with Morningstar’s policies and procedures set forth on Morningstar’s website at www.morningstarcreditratings.com.
Morningstar calculates gross returns for funds as a simulation of the returns investors would have received had they not paid any expenses. Here are the formulas.
Selecting a target-date fund is one of the most important decisions a plan sponsor or consultant can make. In this paper, we present an innovative, quantitative approach that Morningstar has developed for determining which glide path will best fit a specific plan’s needs.
This methodology describes Morningstar’s approach to issuing letter-grade ratings for
commercial mortgage- backed securities (CMBS) at issuance. Any determination to issue letter-grade ratings is in Morningstar’s sole discretion in accordance with Morningstar’s policies and procedures on a case by case basis and Morningstar may, at any time, decline or refuse to rate a transaction for any number of reasons, including, without limitation, the failure or refusal of the arranger or other third parties to provide information to Morningstar
The emergence of buybacks as the dominant source of corporate payout over the past three decades fundamentally changed the way returns are supplied to investors, creating the need for a new return model. We develop total payout (dividends plus buybacks) models of stock returns that are independent of the change in corporate payout policy, and allow for a consistent analysis of the historical sources of returns. Our study provides significant theoretical and empirical evidence that total payout models provide superior forecasts of both long- and short-term expected returns.
