Artificial Intelligence in Asset Management

2020-08-28 Business & Economics

Author : Söhnke M. Bartram
Release : 2020-08-28
Genre : Business & Economics
Kind : eBook
Book Rating : 03X/5 ( reviews)

GET EBOOK

Book Synopsis Artificial Intelligence in Asset Management by : Söhnke M. Bartram

Download or read book Artificial Intelligence in Asset Management written by Söhnke M. Bartram. This book was released on 2020-08-28. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence for Asset Management and Investment

2021-02-09 Business & Economics

Author : Al Naqvi
Release : 2021-02-09
Genre : Business & Economics
Kind : eBook
Book Rating : 827/5 ( reviews)

GET EBOOK

Book Synopsis Artificial Intelligence for Asset Management and Investment by : Al Naqvi

Download or read book Artificial Intelligence for Asset Management and Investment written by Al Naqvi. This book was released on 2021-02-09. Available in PDF, EPUB and Kindle. Book excerpt: Make AI technology the backbone of your organization to compete in the Fintech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond. No other book on the market takes such a wide-ranging approach to using AI in asset management. With this guide, you’ll be able to build an asset management firm from the ground up—or revolutionize your existing firm—using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for financial firms. With better AI comes better results. If you aren’t integrating AI in the strategic DNA of your firm, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of an integrated, strategic asset management framework Learn how to build AI into your organization to remain competitive in the world of Fintech Go beyond siloed AI implementations to reap even greater benefits Understand and overcome the governance and leadership challenges inherent in AI strategy Until now, it has been prohibitively difficult to map the high-tech world of AI onto complex and ever-changing financial markets. Artificial Intelligence for Asset Management and Investment makes this difficulty a thing of the past, providing you with a professional and accessible framework for setting up and running artificial intelligence in your financial operations.

Machine Learning for Asset Managers

2020-04-22 Business & Economics

Author : Marcos M. López de Prado
Release : 2020-04-22
Genre : Business & Economics
Kind : eBook
Book Rating : 721/5 ( reviews)

GET EBOOK

Book Synopsis Machine Learning for Asset Managers by : Marcos M. López de Prado

Download or read book Machine Learning for Asset Managers written by Marcos M. López de Prado. This book was released on 2020-04-22. Available in PDF, EPUB and Kindle. Book excerpt: Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. Some of ML's strengths include (1) a focus on out-of-sample predictability over variance adjudication; (2) the use of computational methods to avoid relying on (potentially unrealistic) assumptions; (3) the ability to "learn" complex specifications, including nonlinear, hierarchical, and noncontinuous interaction effects in a high-dimensional space; and (4) the ability to disentangle the variable search from the specification search, robust to multicollinearity and other substitution effects.

Machine Learning for Asset Management

2020-10-06 Business & Economics

Author : Emmanuel Jurczenko
Release : 2020-10-06
Genre : Business & Economics
Kind : eBook
Book Rating : 445/5 ( reviews)

GET EBOOK

Book Synopsis Machine Learning for Asset Management by : Emmanuel Jurczenko

Download or read book Machine Learning for Asset Management written by Emmanuel Jurczenko. This book was released on 2020-10-06. Available in PDF, EPUB and Kindle. Book excerpt: This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of equity, multi-asset and factor investing. Each chapter deals with new methods for return and risk forecasting, stock selection, portfolio construction, performance attribution and transaction costs modeling. This volume will be of great help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge of machine learning in asset management.

The AI Book

2020-04-09 Business & Economics

Author : Ivana Bartoletti
Release : 2020-04-09
Genre : Business & Economics
Kind : eBook
Book Rating : 927/5 ( reviews)

GET EBOOK

Book Synopsis The AI Book by : Ivana Bartoletti

Download or read book The AI Book written by Ivana Bartoletti. This book was released on 2020-04-09. Available in PDF, EPUB and Kindle. Book excerpt: Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important

Popular eBooks

Artificial Intelligence in Asset Management

Artificial Intelligence for Asset Management and Investment

Machine Learning for Asset Managers

Machine Learning for Asset Management

The AI Book

You may also like...