Miquel Noguer Alonso – författare

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 classesPersonal risk tolerance and it#s impact on ideal asses allocationThe importance of weekly and monthly variance in the returns of specific securitiesServing 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.

Explore how autonomous AI agents are transforming financial markets and decision-making In Agentic Finance: The Innovators and Mathematical Insights Shaping the Future of AI, Miquel Noguer Alonso and David Pacheco Aznar examine the emerging field where autonomous AI systems operate independently in financial contexts. The book explores how agentic technologies – AI systems capable of independent reasoning, planning, and action – are reshaping how financial institutions approach analysis, trading, and risk management. The book explores the mathematical foundations powering autonomous AI agents, from the algorithms enabling independent decision-making to the frameworks governing multi-agent financial systems. Readers gain insight into how innovators are applying these technologies across trading, portfolio management, and market analysis, along with the technical principles driving this transformation. Readers will also discover:  The core mathematical concepts underlying autonomous AI systems, including reinforcement learning, optimization, and probabilistic reasoning frameworks  How leading innovators are deploying agentic AI across trading, risk assessment, portfolio optimization, and financial forecasting applications  Technical architectures enabling AI agents to operate autonomously while maintaining appropriate oversight and governance in financial environments  Real-world applications demonstrating how autonomous systems analyze markets, execute strategies, and adapt to changing conditions  The evolving regulatory and ethical landscape surrounding autonomous AI decision-making in high-stakes financial contexts Agentic Finance serves quantitative analysts, financial technologists, AI researchers, portfolio managers, and business leaders seeking to understand how autonomous AI systems are transforming financial services. It provides the technical foundation needed to evaluate and implement agentic technologies.

An original deep dive into the evolution of OpenAI and insight into the future of powerful AI systems. In Pioneers in AI: OpenAI and the Builders of Artifical Intlligence, Miquel Noguer, founder of the Artificial Intelligence Finance Institute, delivers an eye-opening discussion on OpenAI. A trailblazing company building the future of AI, Noguer details its journey and innovation via a compelling narratove, examining both its successes and failures, and providing readers with crucial insights into the future of transformatiive AI and its impact on society. The book offers a collection of human stories and deep technical dives on the people and products that make up OpenAI. Readers will learn about the company’s origins, the challenges they faced and overcame, the products and services they created, and the dreams that drive OpenAI as its leaders chart a path into an exciting future. Pioneers in AI provides critical insights for future attempts to align powerful AI systems with human values.Inside the book: Detailed discussions of the technical milestones reached by OpenAI as revealed in academic papers, industry reports, and product announcementsBiographies of key figures in the company, with a focus on how their backgrounds, professional trajectories, and philosophical orientations shaped OpenAIExplorations of the societal and cultural impact of AI technologies created by OpenAI and its leadersPerfect for researchers, practitioners, policymakers, and more, Pioneers in AI is a must read that offers a comprehensive, factual, and analytically grounded account of OpenAI’s evolution and impact.