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Lectures On The Theory And Application Of Modern Finance With R And Chatgpt


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


Lectures On The Theory And Application Of Modern Finance With R And Chatgpt
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Author : Carlo Ambrogio Favero
language : en
Publisher: World Scientific
Release Date : 2025-02-18

Lectures On The Theory And Application Of Modern Finance With R And Chatgpt written by Carlo Ambrogio Favero and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Business & Economics categories.


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


Lectures Theory And Appln Modern Financehb
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Author : Carlo A. Favero
language : en
Publisher: World Scientific Publishing Company
Release Date : 2025

Lectures Theory And Appln Modern Financehb written by Carlo A. Favero and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Business & Economics categories.


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


Prophets Of Regulation
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Author : Thomas K. McCraw
language : en
Publisher: Harvard University Press
Release Date : 1986-10-15

Prophets Of Regulation written by Thomas K. McCraw and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986-10-15 with Biography & Autobiography categories.


"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.



Deep Learning For Coders With Fastai And Pytorch


Deep Learning For Coders With Fastai And Pytorch
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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29

Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.


Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala



Reinforcement Learning


Reinforcement Learning
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Author : Richard S. Sutton
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Reinforcement Learning written by Richard S. Sutton and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


Reinforcement learning is the learning of a mapping from situations to actions so as to maximize a scalar reward or reinforcement signal. The learner is not told which action to take, as in most forms of machine learning, but instead must discover which actions yield the highest reward by trying them. In the most interesting and challenging cases, actions may affect not only the immediate reward, but also the next situation, and through that all subsequent rewards. These two characteristics -- trial-and-error search and delayed reward -- are the most important distinguishing features of reinforcement learning. Reinforcement learning is both a new and a very old topic in AI. The term appears to have been coined by Minsk (1961), and independently in control theory by Walz and Fu (1965). The earliest machine learning research now viewed as directly relevant was Samuel's (1959) checker player, which used temporal-difference learning to manage delayed reward much as it is used today. Of course learning and reinforcement have been studied in psychology for almost a century, and that work has had a very strong impact on the AI/engineering work. One could in fact consider all of reinforcement learning to be simply the reverse engineering of certain psychological learning processes (e.g. operant conditioning and secondary reinforcement). Reinforcement Learning is an edited volume of original research, comprising seven invited contributions by leading researchers.



Applied Macroeconometrics


Applied Macroeconometrics
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Author : Carlo A. Favero
language : en
Publisher: OUP Oxford
Release Date : 2001

Applied Macroeconometrics written by Carlo A. Favero and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Business & Economics categories.


This text provides graduate students of macroeconomics, econometrics, and monetary economics with discussion and practical illustrations of the techniques used in applied macroeconometrics. Until the 1970s, there was consensus regarding both the theoretical foundations and the empirical specification of applied macroeconometric modelling, commonly known as the Cowles Commission approach. This is no longer the case: the Cowles Commission approach broke down in the 1970s, to be replaced by a number of prominent competing methods--the LSE (London School of Economics) approach, the VAR approach, and the intertemporal optimization/Real Business Cycle approach. 'Applied Macroeconometrics' examines the empirical research strategy of these alternatives by interpreting them as attempts to solve the problems observed in the Cowles Commission approach. The different research strategies are illustrated with specific reference to real-world examples, particularly with respect to the monetary transmission mechanism. A common US dataset is used in these examples, thus allowing the reader easy comparisons. The presentation is based on the view that identification, a central concept in econometrics, provides a natural framework in which to discuss the alternative strategies currently dominating research. The first part of the book introduces time-series models and details the importance of their identification. The second part illustrates, chapter by chapter, the alternative approaches, providing detailed applications of each methodology. Data used in the applications are available in a variety of formats from the author's web site, and will be supplemented by exercises for the reader to perform.



Artificial Intelligence Techniques For Sustainable Development


Artificial Intelligence Techniques For Sustainable Development
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Author : Deepika Ghai
language : en
Publisher: CRC Press
Release Date : 2024-12-19

Artificial Intelligence Techniques For Sustainable Development written by Deepika Ghai and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Technology & Engineering categories.


How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions? Artificial Intelligence Techniques for Sustainable Development provides an answer. Further, it discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications. Key features: Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental health Highlights the advancement in electronics and communication technology for green applications Covers smart energy harvesting/charging and power management techniques using machine learning Explains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network security Illustrates prediction models for carbon emission and sequestration, environmental health, and climate change The book is aimed at senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.



Introduction To Modern Economic Growth


Introduction To Modern Economic Growth
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Author : Daron Acemoglu
language : en
Publisher: Princeton University Press
Release Date : 2008-12-15

Introduction To Modern Economic Growth written by Daron Acemoglu and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-15 with Business & Economics categories.


From Nobel Prize–winning economist Daron Acemoglu, an incisive introduction to economic growth Introduction to Modern Economic Growth is a groundbreaking text from one of today's leading economists. Daron Acemoglu gives graduate students not only the tools to analyze growth and related macroeconomic problems, but also the broad perspective needed to apply those tools to the big-picture questions of growth and divergence. And he introduces the economic and mathematical foundations of modern growth theory and macroeconomics in a rigorous but easy to follow manner. After covering the necessary background on dynamic general equilibrium and dynamic optimization, the book presents the basic workhorse models of growth and takes students to the frontier areas of growth theory, including models of human capital, endogenous technological change, technology transfer, international trade, economic development, and political economy. The book integrates these theories with data and shows how theoretical approaches can lead to better perspectives on the fundamental causes of economic growth and the wealth of nations. Innovative and authoritative, this book is likely to shape how economic growth is taught and learned for years to come. Introduces all the foundations for understanding economic growth and dynamic macroeconomic analysis Focuses on the big-picture questions of economic growth Provides mathematical foundations Presents dynamic general equilibrium Covers models such as basic Solow, neoclassical growth, and overlapping generations, as well as models of endogenous technology and international linkages Addresses frontier research areas such as international linkages, international trade, political economy, and economic development and structural change An accompanying Student Solutions Manual containing the answers to selected exercises is available (978-0-691-14163-3/$24.95). See: https://press.princeton.edu/titles/8970.html For Professors only: To access a complete solutions manual online, email us at: [email protected]



Global Value Chains In A Changing World


Global Value Chains In A Changing World
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Author : Deborah Kay Elms
language : en
Publisher:
Release Date : 2013

Global Value Chains In A Changing World written by Deborah Kay Elms and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Business & Economics categories.


A collection of papers by some of the world's leading specialists on global value chains (GVCs). It examines how GVCs have evolved and the challenges they face in a rapidly changing world. The approach is multi-disciplinary, with contributions from economists, political scientists, supply chain management specialists, practitioners and policy-makers. Co-published with the Fung Global Institute and the Temasek



Linear Algebra And Its Applications With R


Linear Algebra And Its Applications With R
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Author : Ruriko Yoshida
language : en
Publisher: CRC Press
Release Date : 2024-08-26

Linear Algebra And Its Applications With R written by Ruriko Yoshida and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-26 with Business & Economics categories.


The book developed from the need to teach a linear algebra course to students focused on data science and bioinformatics programs. This textbook provides students a theoretical basis which can then be applied to the practical R and Python problems, providing the tools needed for real-world applications.