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The Morningstar Rating for Funds is a rating system for investment funds operated by Morningstar. The Star Rating, debuted in 1985, a year after Morningstar was founded. The 1- to 5-star system, "looks at a fund's risk-adjusted return based on its performance over three, five and 10 years and on its volatility. The highest rating of five stars ...
Asset allocation is the implementation of an investment strategy that attempts to balance risk versus reward by adjusting the percentage of each asset in an investment portfolio according to the investor's risk tolerance, goals and investment time frame. [1] The focus is on the characteristics of the overall portfolio.
The name Morningstar is taken from the last sentence in Walden, a book by Henry David Thoreau; "the sun is but a morning star". [8] [9] In July 1999, Morningstar accepted an investment of US$91 million from SoftBank in return for a 20 percent stake in the company. The two companies had formed a joint venture in Japan the previous year.
Morningstar DBRS is the fourth-largest credit rating agency by global market share, with between 2% and 3% of global market share. [3] The company is one of only four CRAs, including Standard & Poor's, Moody's Investors Service, and Fitch Ratings, to be recognized as an external credit assessment institution by the European Central Bank (ECB). [4]
The Brinson-Fachler methodology underpins many public performance attribution analyses. Morningstar, for example, includes a whitepaper [9] on their mode of employing the Brinson-Fachler methodology. Morningstar is known for its analysis of long-only mutual funds, but the Brinson-Fachler analysis is also applicable to hedge ranking funds. [10]
The Morningstar Analyst Rating debuted in 2011 as a qualitative rating assigned by Morningstar's team of manager research analysts for funds under their coverage. This forward-looking metric is analyst-driven, and is considered an aptitude test of a fund manager's capabilities in a specific strategy. [ 1 ]
Returns-based style analysis (RBSA) is a statistical technique used in finance to deconstruct the returns of investment strategies using a variety of explanatory variables.
The standard form of the Omega ratio is a non-convex function, but it is possible to optimize a transformed version using linear programming. [4] To begin with, Kapsos et al. show that the Omega ratio of a portfolio is: = [() +] + The optimization problem that maximizes the Omega ratio is given by: [() +], (), =, The objective function is non-convex, so several ...