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.

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.