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Value Line, Inc. is an independent investment research and financial publishing firm based in New York City. Founded in 1931 by Arnold Bernhard, Value Line is best known for publishing The Value Line Investment Survey , a stock analysis newsletter that tracks approximately 1,700 publicly traded stocks.
The Value Line Composite Index (VLCI) are two futures market indices published by Value Line, both comprising 1,681 publicly listed companies on the NYSE, NYSE American, NASDAQ, and TSX stock exchanges. They include all components of the company's Value Line Investment Survey except for closed-end funds, [1] designed to be representative of the ...
Isovalue lines. In microeconomics, isovalue lines define a relationship between the production of two products [clarification needed] in which the total market value is constant. For example: In a market that produces bread and wine, the market is willing to trade one bottle of wine for three breads. If this relationship is constant, we would ...
Value Line, Inc. Announces Stock Repurchase Program NEW YORK--(BUSINESS WIRE)-- Value Line, Inc., (NASDAQ: VALU) announced today that its Board of Directors approved on September 19, 2012 a new ...
The Value Line Investment Survey Initiates Coverage of Virgin Media, PetMed Express, and Riverbed Technology NEW YORK--(BUSINESS WIRE)-- Value Line (NAS: VALU) has initiated coverage on Virgin ...
Value investing is an investment paradigm that involves buying securities that appear underpriced by some form of fundamental analysis. [1] All forms of value investing derive from the investment philosophy taught by Benjamin Graham and David Dodd at Columbia Business School in 1928 and subsequently developed in their 1934 text Security Analysis .
A value chain is a progression of activities that a business or firm performs in order to deliver goods and services of value to an end customer. The concept comes from the field of business management and was first described by Michael Porter in his 1985 best-seller, Competitive Advantage: Creating and Sustaining Superior Performance.
In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable, or a 'label' in machine learning parlance) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables' or ...