Ai And Macroeconomic Modeling Deep Reinforcement Learning In An Rbc Model
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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.
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
Central Bank Balance Sheet And Real Business Cycles
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Author : Mustapha Akinkunmi
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2018-09-10
Central Bank Balance Sheet And Real Business Cycles written by Mustapha Akinkunmi and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-10 with Business & Economics categories.
Central Bank Balance Sheet and Real Business Cycles argues that a deeper comprehension of changes to the central bank balance sheet can lead to more effective policymaking. Any transaction engaged in by the central bank—issuing currency, conducting foreign exchange operations, investing its own funds, intervening to provide emergency liquidity assistance and carrying out monetary policy operations—influences its balance sheet. Despite this, many central banks throughout the world have largely ignored balance sheet movements, and have instead focused on implementing interest rates. In this book, Mustapha Abiodun Akinkunmi highlights the challenges and controversies faced by central banks in the past and present when implementing policies, and analyzes the links between these policies, the central bank balance sheet, and the consequences to economies as a whole. He argues that the composition and evolution of the central bank balance sheet provides a valuable basis for understanding the needs of an economy, and is an important tool in developing strategies that would most effectively achieve policy goals. This book is an important resource for anyone interested in monetary policy or whose work is affected by the actions of the policies of central banks.
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.
151 Trading Strategies
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Author : Zura Kakushadze
language : en
Publisher: Palgrave Macmillan
Release Date : 2018-12-29
151 Trading Strategies written by Zura Kakushadze and has been published by Palgrave Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-29 with Business & Economics categories.
The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.
The Digitization Of Healthcare
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Author : Loick Menvielle
language : en
Publisher: Springer
Release Date : 2017-08-11
The Digitization Of Healthcare written by Loick Menvielle and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-11 with Medical categories.
Combining conceptual, pragmatic and operational approaches, this edited collection addresses the demand for knowledge and understanding of IT in the healthcare sector. With new technology outbreaks, our vision of healthcare has been drastically changed, switching from a ‘traditional’ path to a digitalized one. Providing an overview of the role of IT in the healthcare sector, The Digitization of Healthcare illustrates the potential benefits and challenges for all those involved in delivering care to the patient. The incursion of IT has disrupted the value chain and changed business models for companies working in the health sector, and also raised ethical issues and new paradigms about delivering care. This book illustrates the rise of patient empowerment through the development of patient communities such as PatientLikeMe, and medical collaborate platforms such as DockCheck, thus providing a necessary tool to patients, caregivers and academics alike.
Machine Learning And Causality The Impact Of Financial Crises On Growth
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Author : Mr.Andrew J Tiffin
language : en
Publisher: International Monetary Fund
Release Date : 2019-11-01
Machine Learning And Causality The Impact Of Financial Crises On Growth written by Mr.Andrew J Tiffin 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 2019-11-01 with Computers categories.
Machine learning tools are well known for their success in prediction. But prediction is not causation, and causal discovery is at the core of most questions concerning economic policy. Recently, however, the literature has focused more on issues of causality. This paper gently introduces some leading work in this area, using a concrete example—assessing the impact of a hypothetical banking crisis on a country’s growth. By enabling consideration of a rich set of potential nonlinearities, and by allowing individually-tailored policy assessments, machine learning can provide an invaluable complement to the skill set of economists within the Fund and beyond.
The Effective And Ethical Development Of Artificial Intelligence
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Author : Toby Walsh
language : en
Publisher:
Release Date : 2019-04
The Effective And Ethical Development Of Artificial Intelligence written by Toby Walsh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04 with categories.
Data Management Analytics And Innovation
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Author : Neha Sharma
language : en
Publisher: Springer Nature
Release Date : 2021-08-04
Data Management Analytics And Innovation written by Neha Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-04 with Technology & Engineering categories.
This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Information And Communication Technologies In Tourism 2019
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Author : Juho Pesonen
language : en
Publisher: Springer
Release Date : 2018-12-14
Information And Communication Technologies In Tourism 2019 written by Juho Pesonen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-14 with Business & Economics categories.
This book provides an extensive, up-to-date overview of the ways in which information and communication technologies (ICTs) can be used to develop tourism and hospitality. The coverage encompasses a wide variety of topics within the field, including virtual reality, sharing economy and peer-to-peer accommodation, social media use, hotel technology, big data, robotics, and recommendation systems, to name but a few. The content is based on the 2019 ENTER eTourism conference, organized in Nicosia, Cyprus by the International Federation for Information Technologies and Travel & Tourism (IFITT) – the leading independent global community for the discussion, exchange, and development of knowledge on the use and impact of new ICTs in the travel and tourism industry. The book offers a global perspective and rich source of information on important innovations and novel ideas. Though it will prove especially valuable for academics working in the eTourism field, it will also be of considerable interest to practitioners and students.