Asset Allocation And Machine Learning
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Machine Learning For Asset Management And Pricing
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Author : Henry Schellhorn
language : en
Publisher: SIAM
Release Date : 2024-03-26
Machine Learning For Asset Management And Pricing written by Henry Schellhorn and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-26 with Computers categories.
This textbook covers the latest advances in machine learning methods for asset management and asset pricing. Recent research in deep learning applied to finance shows that some of the (usually confidential) techniques used by asset managers result in better investments than the more standard techniques. Cutting-edge material is integrated with mainstream finance theory and statistical methods to provide a coherent narrative. Coverage includes an original machine learning method for strategic asset allocation; the no-arbitrage theory applied to a wide portfolio of assets as well as other asset management methods, such as mean-variance, Bayesian methods, linear factor models, and strategic asset allocation; recent techniques such as neural networks and reinforcement learning, and more classical ones, including nonlinear and linear programming, principal component analysis, dynamic programming, and clustering. The authors use technical and nontechnical arguments to accommodate readers with different levels of mathematical preparation. The book is easy to read yet rigorous and contains a large number of exercises. Machine Learning for Asset Management and Pricing is intended for graduate students and researchers in finance, economics, financial engineering, and data science focusing on asset pricing and management. It will also be of interest to finance professionals and analysts interested in applying machine learning to investment strategies and asset management. This textbook is appropriate for courses on asset management, optimization with applications, portfolio theory, and asset pricing.
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
Mastering Asset Allocation
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-03-09
Mastering Asset Allocation written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-09 with Business & Economics categories.
In the competitive world of investing, making informed decisions about asset allocation is paramount to achieving financial success. "Mastering Asset Allocation" is a comprehensive guide that empowers investors of all levels with the knowledge and skills to navigate the complexities of asset allocation and build robust portfolios that align with their unique goals and risk tolerance. Written in a clear and engaging style, this book takes readers on a journey through the evolution of asset allocation, from its early roots to the sophisticated methodologies employed by modern portfolio managers. It explores the various asset classes, including stocks, bonds, real estate, and commodities, providing insights into their characteristics, risks, and potential rewards. With a focus on practical application, "Mastering Asset Allocation" delves into the art of setting investment objectives, establishing a framework for making informed decisions about asset allocation. It emphasizes the importance of defining clear goals, assessing risk tolerance, and determining the appropriate time horizon for investments. By aligning asset allocation strategies with these objectives, investors can create portfolios tailored to their specific needs and aspirations. Recognizing the importance of risk management in asset allocation, the book dedicates a chapter to exploring various types of investment risks and how to mitigate them. It examines market risk, interest rate risk, inflation risk, currency risk, and other potential pitfalls that investors may encounter. By understanding these risks and implementing sound risk management strategies, investors can protect their portfolios from potential downturns and enhance their overall returns. The book also delves into the intricacies of tactical and strategic asset allocation, providing investors with a thorough understanding of each approach. It explains the merits and limitations of both short-term tactical adjustments and long-term strategic asset allocation strategies. By understanding the nuances of both approaches, investors can make informed decisions about which strategy best suits their investment style and risk tolerance. Furthermore, "Mastering Asset Allocation" addresses the unique challenges and opportunities faced by investors at different life stages. It provides valuable insights into asset allocation strategies appropriate for young investors just starting their journey, middle-aged investors seeking to grow their wealth, and retirees looking to preserve their nest eggs. This comprehensive guide concludes with a thought-provoking exploration of the future of asset allocation, examining the impact of technological advancements, sustainable investing, and the evolving regulatory landscape on this critical aspect of portfolio management. By staying abreast of these trends, investors can position themselves to navigate the ever-changing financial landscape and achieve long-term investment success. If you like this book, write a review!
Artificial Intelligence In Asset Management
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Author : Söhnke M. Bartram
language : en
Publisher: CFA Institute Research Foundation
Release Date : 2020-08-28
Artificial Intelligence In Asset Management written by Söhnke M. Bartram and has been published by CFA Institute Research Foundation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-28 with Business & Economics categories.
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
Big Data And Machine Learning In Quantitative Investment
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Author : Tony Guida
language : en
Publisher: John Wiley & Sons
Release Date : 2019-03-25
Big Data And Machine Learning In Quantitative Investment written by Tony Guida 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 2019-03-25 with Business & Economics categories.
Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance. The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning. • Gain a solid reason to use machine learning • Frame your question using financial markets laws • Know your data • Understand how machine learning is becoming ever more sophisticated Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment — and this book shows you how.
Machine Learning Ecml 2004
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Author : Jean-Francois Boulicaut
language : en
Publisher: Springer
Release Date : 2004-11-05
Machine Learning Ecml 2004 written by Jean-Francois Boulicaut and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-11-05 with Computers categories.
The proceedings of ECML/PKDD 2004 are published in two separate, albeit - tertwined,volumes:theProceedingsofthe 15thEuropeanConferenceonMac- ne Learning (LNAI 3201) and the Proceedings of the 8th European Conferences on Principles and Practice of Knowledge Discovery in Databases (LNAI 3202). The two conferences were co-located in Pisa, Tuscany, Italy during September 20–24, 2004. It was the fourth time in a row that ECML and PKDD were co-located. - ter the successful co-locations in Freiburg (2001), Helsinki (2002), and Cavtat- Dubrovnik (2003), it became clear that researchersstrongly supported the or- nization of a major scienti?c event about machine learning and data mining in Europe. We are happy to provide some statistics about the conferences. 581 di?erent papers were submitted to ECML/PKDD (about a 75% increase over 2003); 280 weresubmittedtoECML2004only,194weresubmittedtoPKDD2004only,and 107weresubmitted to both.Aroundhalfofthe authorsforsubmitted papersare from outside Europe, which is a clear indicator of the increasing attractiveness of ECML/PKDD. The Program Committee members were deeply involved in what turned out to be a highly competitive selection process. We assigned each paper to 3 - viewers, deciding on the appropriate PC for papers submitted to both ECML and PKDD. As a result, ECML PC members reviewed 312 papers and PKDD PC members reviewed 269 papers. We accepted for publication regular papers (45 for ECML 2004 and 39 for PKDD 2004) and short papers that were as- ciated with poster presentations (6 for ECML 2004 and 9 for PKDD 2004). The globalacceptance ratewas14.5%for regular papers(17% if we include the short papers).
Artificial Intelligence And Machine Learning For Business
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Author : Namita Mishra
language : en
Publisher: CRC Press
Release Date : 2025-04-15
Artificial Intelligence And Machine Learning For Business written by Namita Mishra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-15 with Computers categories.
Artificial intelligence and machine learning are integral parts of every business today, in areas ranging from finance, strategic decision-making, HR operations, and sales and marketing to manufacturing and more. This new book demonstrates how artificial intelligence and machine learning can be used in every aspect of business and as a foundation for complex decision-making. The volume covers such topics as the use of AI in employee training, in stock market prediction, in traffic detection, in opinion mining, in fraud detection, for retail purchase predictions, in online customer support interactions, and more, proving the diverse ways AI can be used in many facets of a business. The use of AI is also explored in fields such as garbage systems, agriculture, precious metals, banking, HR hiring, and so on.
Asset Allocation
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Author : Ricard Durall
language : en
Publisher:
Release Date : 2022
Asset Allocation written by Ricard Durall and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Asset allocation is an investment strategy that aims to balance risk and reward by constantly redistributing the portfolio's assets according to certain goals, risk tolerance, and investment horizon. Unfortunately, there is no simple formula that can find the right allocation for every individual. As a result, investors may use different asset allocations' strategy to try to fulfil their financial objectives. In this work, we conduct an extensive benchmark study to determine the efficacy and reliability of a number of optimization techniques. In particular, we focus on traditional approaches based on Modern Portfolio Theory, and on machine-learning approaches based on deep reinforcement learning. We assess the model's performance under different market tendency, i.e., both bullish and bearish markets. For reproducibility, we provide the code implementation code in this repository.
Proceedings Of The 9th International Conference On Financial Innovation And Economic Development Icfied 2024
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Author : Khaled Elbagory
language : en
Publisher: Springer Nature
Release Date : 2024-05-07
Proceedings Of The 9th International Conference On Financial Innovation And Economic Development Icfied 2024 written by Khaled Elbagory and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-07 with Business & Economics categories.
This is an open access book.- Background: 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. - Present situation: 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. - Objectives of this conference: The 9th International Conference on Financial Innovation and Economic Development (ICFIED 2024) aims to accommodate this need, as well as to: 1. provide a platform for experts and scholars, engineers and technicians in the field of financial Innovation and economic development to share scientific research achievements and cutting-edge technologies 2. Understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote the industrialization cooperation of academic achievements 3. Promote the institutionalization and standardization of Financial Innovation and Economic Development through modern research 4. Increasing the number of scientific publications for financial Innovation and economic development - Conference information: As an annual conference held successfully in the past 8 years, the 9th International Conference on Financial Innovation and Economic Development (ICFIED 2024) will be held in Ningbo on January 12–14, 2024. The conference sincerely invites experts, scholars, business people and other relevant personnel from domestic and foreign universities, research institutions to participate in the exchange. We warmly invite you to participate in ICFIED 2024 and look forward to seeing you in Ningbo, China.
Exploring The Financial Landscape In The Digital Age
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Author : Thomas Andreas Maurer
language : en
Publisher: CRC Press
Release Date : 2024-08-13
Exploring The Financial Landscape In The Digital Age written by Thomas Andreas Maurer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-13 with Business & Economics categories.
The Proceedings of the International Conference on Financial Management and the Digital Economy (ICFMDE 2023) offers an overview of research and insights into how financial management is evolving in the digital age. The book covers a broad spectrum from examining cryptocurrency trends to exploring fintech advancements. Topics also extend to digital transformation strategies, practical applications of blockchain technology, and the profound impact of digital innovations on financial markets. Through rigorous research and analysis, the proceedings offer valuable insights into the future trajectory of the global economy. Written for scholars, researchers, and industry professionals in finance, economics, and digital innovation, this collection provides valuable insights into the rapidly changing field of financial management. Readers will gain deep perspectives on how digitalization is reshaping financial landscapes worldwide.