“A successful investor has to have a reasonable amount of intelligence and they don’t need to be rocket scientists.” – Roger Montgomery * Support this channel via either Patreon | https://www.patreon.com/ACParris or PayPal | https://www.paypal.me/adamcparris/29 Adam Parris from Searching for Value sits down to chat with Roger Montgomery Chief Investment Officer and Founder of Montgomery Investment Management about all things investment related. Link to original podcast https://www.searchingforvalue.org/premium/premium-podcasts/roger-montgomery-premium-podcast/ Selected Sources from this episode: - The Warren Buffett Way by Robert Hagstrom - The memo by Howard Marks about first and second level thinking - The Journal Article Dividend Policies and Common Stock Prices James Walter - Not recommended in video but worth sharing for those interested. Principles of Econometrics 4th Edition by R. Carter Hill (Author), William E. Griffiths (Author), Guay C. Lim (Author) Disclaimer: The commentary on this video is in no way constitutes a solicitation of business or investment advice. It is intended solely for educational purposes for the viewer. In particular, this website is not directed for investment purposes at AUS, USA or NZ Persons. Readers are strongly advised to consult their broker or someone with a financial advisor’s licence before making investment decisions. Then they’ll have someone else to blame.
Views: 1066 The Shoe Shiner Kid on Wall Street.
Comprobación empírica de la propiedad de insesgamiento en el MCRL. Basado en lo desarrollado en Using Stata for Principles of Econometrics de Carter R. Hill and Lee C. Adkins
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Disgraced MIT healthcare economist Jonathan Gruber praised HillaryCare in 2008.
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Opening statement for Lewis Lehrman at the 3/17/2011 hearing of the Domestic Monetary Policy & Technology Subcommittee, chaired by Ron Paul. Audio boosted.
Views: 2522 Dave Jones
January 30, 2018 | Jonathan Reckford, the CEO of Habitat for Humanity, speaks about how developing sustainable, inclusive, and equitable communities are dependent upon creating affordable housing opportunities.
This is an audio version of the Wikipedia Article: Mathematical economics Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. You can find other Wikipedia audio articles too at: https://www.youtube.com/channel/UCuKfABj2eGyjH3ntPxp4YeQ You can upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts "The only true wisdom is in knowing you know nothing." - Socrates SUMMARY ======= Mathematical economics is the application of mathematical methods to represent theories and analyze problems in economics. By convention, these applied methods are beyond simple geometry, such as differential and integral calculus, difference and differential equations, matrix algebra, mathematical programming, and other computational methods. Proponents of this approach claim that it allows the formulation of theoretical relationships with rigor, generality, and simplicity.Mathematics allows economists to form meaningful, testable propositions about wide-ranging and complex subjects which could less easily be expressed informally. Further, the language of mathematics allows economists to make specific, positive claims about controversial or contentious subjects that would be impossible without mathematics. Much of economic theory is currently presented in terms of mathematical economic models, a set of stylized and simplified mathematical relationships asserted to clarify assumptions and implications.Broad applications include: optimization problems as to goal equilibrium, whether of a household, business firm, or policy maker static (or equilibrium) analysis in which the economic unit (such as a household) or economic system (such as a market or the economy) is modeled as not changing comparative statics as to a change from one equilibrium to another induced by a change in one or more factors dynamic analysis, tracing changes in an economic system over time, for example from economic growth.Formal economic modeling began in the 19th century with the use of differential calculus to represent and explain economic behavior, such as utility maximization, an early economic application of mathematical optimization. Economics became more mathematical as a discipline throughout the first half of the 20th century, but introduction of new and generalized techniques in the period around the Second World War, as in game theory, would greatly broaden the use of mathematical formulations in economics.This rapid systematizing of economics alarmed critics of the discipline as well as some noted economists. John Maynard Keynes, Robert Heilbroner, Friedrich Hayek and others have criticized the broad use of mathematical models for human behavior, arguing that some human choices are irreducible to mathematics.
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Proceedings from the April 5, 2012 meeting of the National Capital Planning Commission.
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