Deep Reinforcement Learning And Macroeconomic Modelling

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Ai And Macroeconomic Modeling Deep Reinforcement Learning In An Rbc Model

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Author : Tohid Atashbar
language : en
Publisher: International Monetary Fund
Release Date : 2023-02-24

Ai And Macroeconomic Modeling Deep Reinforcement Learning In An Rbc Model written by Tohid Atashbar and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-24 with Business & Economics categories.

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, one of which is deterministic without the technological shock and the other is stochastic. The objective of the deterministic environment is to compare the learning agent's behavior to a deterministic steady-state scenario. We demonstrate that in both deterministic and stochastic scenarios, the agent's choices are close to their optimal value. We also present cases of unstable learning behaviours. This AI-macro model may be enhanced in future research by adding additional variables or sectors to the model or by incorporating different DRL algorithms.

Deep Reinforcement Learning And Macroeconomic Modelling

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Author : Rui Shi (Aruhan)
language : en
Publisher:
Release Date : 2023

Deep Reinforcement Learning And Macroeconomic Modelling written by Rui Shi (Aruhan) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Adaptability (Psychology) categories.

Deep Reinforcement Learning Emerging Trends In Macroeconomics And Future Prospects

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Author : Tohid Atashbar
language : en
Publisher: International Monetary Fund
Release Date : 2022-12-16

Deep Reinforcement Learning Emerging Trends In Macroeconomics And Future Prospects written by Tohid Atashbar and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-16 with Business & Economics categories.

The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and bounded rationality. In this paper, after a theoretical introduction to deep reinforcement learning and various DRL algorithms, we provide an overview of the literature on deep reinforcement learning in economics, with a focus on the main applications of deep reinforcement learning in macromodeling. Then, we analyze the potentials and limitations of deep reinforcement learning in macroeconomics and identify a number of issues that need to be addressed in order for deep reinforcement learning to be more widely used in macro modeling.

Handbook Of Blockchain Digital Finance And Inclusion Volume 3

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Author : David Lee Kuo Chuen
language : en
Publisher: Academic Press
Release Date : 2025-04-25

Handbook Of Blockchain Digital Finance And Inclusion Volume 3 written by David Lee Kuo Chuen and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Business & Economics categories.

Handbook of Blockchain, Digital Finance, and Inclusion, Volume Three: Web3, AI, Privacy and Greentech presents the latest technological developments and innovations occurring in cryptocurrency. The book explores the hottest topics in this fast-moving area, emphasizing the financial opportunities made possible by cryptocurrencies, such as DePIN and decentralized finance while also presenting the theories and advances that have the potential to create additional opportunities in the convergence of blockchain with AI and privacy technology. Users will find this to be an important resource that bridges the gap between practical usability and academic perspective.This new volume continues the tradition of the first two, focusing on the latest trends, including Web3, Zero Knowledge Proof, Machine learning, Quantum Technologies, the Internet of Things in ESG, decentralized networks, digitalization, and more. It will serve as a valuable reference to an international audience that wants to learn not only about their own fields of specialization but also related fields. - Explains the practical consequences of these technologies and their economics to a broad spectrum of readers - Encompasses Web3, Zero Knowledge Proof, Machine learning, Quantum Technologies, the Internet of Things in ESG, decentralized networks, and digitalization - Provides sophisticated, in-depth summaries - Explains how blockchain technology provides greater efficiency and reduced cost for financial services

Ai Driven Wealth Planning Harnessing Machine Learning And Large Language Models For Financial Innovation

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Author : Padma Naresh Vardhineedi, Dr. Anshita Shukla
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :

Ai Driven Wealth Planning Harnessing Machine Learning And Large Language Models For Financial Innovation written by Padma Naresh Vardhineedi, Dr. Anshita Shukla and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Law categories.

PREFACE The financial industry is undergoing a profound transformation driven by artificial intelligence (AI). From automated investment strategies to real-time risk assessment, AI-powered tools are reshaping how wealth is managed, planned, and grown. With the rapid advancements in machine learning and large language models (LLMs), financial professionals have access to sophisticated solutions that enhance decision-making, optimize portfolio performance, and personalize client experiences like never before. This book, AI-Driven Wealth Planning: Harnessing Machine Learning and Large Language Models for Financial Innovation, explores the intersection of AI and wealth management. It delves into how AI is revolutionizing financial planning, risk assessment, tax optimization, estate planning, and client advisory services. By bridging the gap between traditional financial strategies and modern AI-driven approaches, this book serves as a comprehensive guide for wealth managers, financial advisors, fintech innovators, and investors seeking to leverage AI for competitive advantage. We begin with an introduction to the fundamental concepts of machine learning and large language models, offering a clear understanding of how these technologies work and their implications for the financial sector. From there, we explore real-world applications, case studies, and best practices for integrating AI into wealth planning strategies. Ethical considerations, regulatory challenges, and the future of AI in finance are also discussed, providing a balanced perspective on both opportunities and risks. As AI continues to evolve, so too will the landscape of financial planning. The goal of this book is to empower readers with the knowledge and insights needed to navigate this new era of AI-driven wealth management. Whether you are a seasoned financial professional or a technology enthusiast eager to understand the impact of AI on finance. Let’s embark on this journey into the world of AI-powered financial innovation. Authors

Social Cultural And Behavioral Modeling

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Author : Robert Thomson
language : en
Publisher: Springer Nature
Release Date : 2020-10-10

Social Cultural And Behavioral Modeling written by Robert Thomson and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-10 with Computers categories.

This book constitutes the proceedings of the 13th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2020, which was planned to take place in Washington, DC, USA. Due to the COVID-19 pandemic the conference was held online during October 18–21, 2020. The 33 full papers presented in this volume were carefully reviewed and selected from 66 submissions. A wide number of disciplines are represented including computer science, psychology, sociology, communication science, public health, bioinformatics, political science, and organizational science. Numerous types of computational methods are used, such as machine learning, language technology, social network analysis and visualization, agent-based simulation, and statistics.

Ai And Financial Markets

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Author : Shigeyuki Hamori
language : en
Publisher: MDPI
Release Date : 2020-07-01

Ai And Financial Markets written by Shigeyuki Hamori and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-01 with Business & Economics categories.

Artificial intelligence (AI) is regarded as the science and technology for producing an intelligent machine, particularly, an intelligent computer program. Machine learning is an approach to realizing AI comprising a collection of statistical algorithms, of which deep learning is one such example. Due to the rapid development of computer technology, AI has been actively explored for a variety of academic and practical purposes in the context of financial markets. This book focuses on the broad topic of “AI and Financial Markets”, and includes novel research associated with this topic. The book includes contributions on the application of machine learning, agent-based artificial market simulation, and other related skills to the analysis of various aspects of financial markets.

Proceedings Of The 2025 10th International Conference On Financial Innovation And Economic Development Icfied 2025

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Author : Maizaitulaidawati Md Husin
language : en
Publisher: Springer Nature
Release Date : 2025-05-02

Proceedings Of The 2025 10th International Conference On Financial Innovation And Economic Development Icfied 2025 written by Maizaitulaidawati Md Husin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-02 with Business & Economics categories.

This is an open access book. Financial globalization plays a huge role in promoting the development of the world economy and the optimal allocation of world resources, stimulates the accelerated development of the international division of labor, and increases the international flow of production factors such as industrial transfer, capital transfer, and technology transfer. It enables developing countries to make up for the lack of their own capital and technology, and obtain industrial evolution, technological progress, and institutional innovation, thereby accelerating the speed of economic development; it also enables developed countries to open up cheap labor, raw material markets and broad consumer markets, prolonging product value. More profits, ease the economy, the contradiction of stagflation, and restore economic growth. At the current stage, the overall environment of the international financial market is relatively stable, and the market environment has been improved to some extent. However, due to the complexity and diversity of the world economy, coupled with the national characteristics of some countries, There is great uncertainty in international policies, which has greatly affected the stability of the international financial market. In addition, the current international environment is changing. The conflict between Russia and Ukraine, the epidemic, and the Taiwan issue have all had an impact on the international economic situation. This is also the difference between this conference and previous conferences. we hope to have a deeper discussion on the current situation.

Proceedings Of The 2022 2nd International Conference On Economic Development And Business Culture Icedbc 2022

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Author : Yushi Jiang
language : en
Publisher: Springer Nature
Release Date : 2023-05-11

Proceedings Of The 2022 2nd International Conference On Economic Development And Business Culture Icedbc 2022 written by Yushi Jiang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-11 with Business & Economics categories.

This is an open access book. With the support of universities and the research of AEIC Academic Exchange Center, The 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022) will be held in Dali from June 24th to 26th. Compared with previous conferences, it will discuss more in-depth economic independent innovation, open cooperation and innovative business culture under the background of the new development stage, new situation and new journey era. There will be a broad exchange environment. Well-known experts, scholars or entrepreneurs in the field will be invited to make keynote reports. Contributing authors are also very welcome to actively participate in the conference and build an academic exchange ceremony.

Quantitative Portfolio Optimization

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Author : Miquel Noguer Alonso
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-22

Quantitative Portfolio Optimization written by Miquel Noguer Alonso and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Business & Economics categories.

Expert guidance on implementing quantitative portfolio optimization techniques In Quantitative Portfolio Optimization: Theory and Practice, renowned financial practitioner Miquel Noguer, alongside physicists Alberto Bueno Guerrero and Julian Antolin Camarena, who possess excellent knowledge in finance, delve into advanced mathematical techniques for portfolio optimization. The book covers a range of topics including mean-variance optimization, the Black-Litterman Model, risk parity and hierarchical risk parity, factor investing, methods based on moments, and robust optimization as well as machine learning and reinforcement technique. These techniques enable readers to develop a systematic, objective, and repeatable approach to investment decision-making, particularly in complex financial markets. Readers will gain insights into the associated mathematical models, statistical analyses, and computational algorithms for each method, allowing them to put these techniques into practice and identify the best possible mix of assets to maximize returns while minimizing risk. Topics explored in this book include: Specific drivers of return across asset classes Personal risk tolerance and it#s impact on ideal asses allocation The importance of weekly and monthly variance in the returns of specific securities Serving as a blueprint for solving portfolio optimization problems, Quantitative Portfolio Optimization: Theory and Practice is an essential resource for finance practitioners and individual investors It helps them stay on the cutting edge of modern portfolio theory and achieve the best returns on investments for themselves, their clients, and their organizations.