Lectures On The Theory And Application Of Modern Finance With R And Chatgpt
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Lectures On The Theory And Application Of Modern Finance With R And Chatgpt
Author: Carlo Ambrogio Favero
language: en
Publisher: World Scientific
Release Date: 2025-02-18
These lecture notes are thought for Master courses in Finance, Fintech and Quantitative Finance programmes. We fully subscribe to the philosophy that post-graduate students should be offered courses that are really at the cutting edge of the technologies and advances that are disrupting the financial industry and delve deep into topics such as A.I., machine learning, and their importance for Asset Management.In these notes, the illustration of the theory of Finance is paired with practical applications to real-life asset allocation problems. A hands-on approach is proposed to construct and manipulate databases to build portfolios, assess their performance and manage their risk. The course begins with a section on the fundamentals on individual choice to market valuation, covering the traditional Markowitz mean-variance approach, market-based asset pricing and Arbitrage-based pricing theory.Empirical modelling in finance is then introduced by illustrating its working and its historical evolution. The translation of financial theory into action on data is driven by building predictive models for asset prices and returns. Basic models are explored, and programming emerges as an essential prerequisite for data manipulation. Readers can acquaint themselves with the statistical software R and exhibit the application of theoretical concepts to financial data, illustrated by sample programs, exercises, and corresponding solutions.
LECTURES THEORY and APPLN MODERN FINANCEHB
Author: Carlo A. Favero
language: en
Publisher: World Scientific Publishing Company
Release Date: 2025
These lecture notes are thought for Master courses in Finance, Fintech and Quantitative Finance programmes. We fully subscribe to the philosophy that post-graduate students should be offered courses that are really at the cutting edge of the technologies and advances that are disrupting the financial industry and delve deep into topics such as A.I., machine learning, and their importance for Asset Management. In these notes, the illustration of the theory of Finance is paired with practical applications to real-life asset allocation problems. A hands-on approach is proposed to construct and manipulate databases to build portfolios, assess their performance and manage their risk. The course begins with a section on the fundamentals on individual choice to market valuation, covering the traditional Markowitz mean-variance approach, market-based asset pricing and Arbitrage-based pricing theory. Empirical modelling in finance is then introduced by illustrating its working and its historical evolution. The translation of financial theory into action on data is driven by building predictive models for asset prices and returns. Basic models are explored, and programming emerges as an essential prerequisite for data manipulation. Readers can acquaint themselves with the statistical software R and exhibit the application of theoretical concepts to financial data, illustrated by sample programs, exercises, and corresponding solutions.
Prophets of Regulation
Author: Thomas K. McCraw
language: en
Publisher: Harvard University Press
Release Date: 1986-10-15
"There is properly no history, only biography," Emerson remarked, and in this ingenious book Thomas McGraw unfolds the history of four powerful men: Charles Francis Adams, Louis D. Brandeis, James M. Landis, and Alfred E. Kahn. The absorbing stories he tells make this a book that will appeal across a wide spectrum of academic disciplines and to all readers interested in history, biography, and Americana.