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Catalogue complet

Whitmore S: De-Globalization &
Re-Shoring

De-Globalization & Re-Shoring

Advanced CapEx Modeling for Global Supply Chain Restructuring

China is the world's biggest carbon emitter as well as the leading producer of green energy. What lies behind this fascinating contradiction? In recent years, China has built more renewable energy infrastructure than the rest of the world combined and is leading the global shift towards electrification. The Green Superpower: How China Shapes Our Future outlines China's role as a green leader in the upcoming Fourth Industrial Revolution and illustrates how European companies can become more competitive by learning from their Chinese counterparts. Experienced journalist and regional expert Christina Boutrup explores how China is leading the move away from fossil fuels, from how affordable Chinese solar panels are revolutionising the global energy landscape to the electrification of the world's largest car market and the revolutionary implications of autonomous AI technologies. Cautiously optimistic, the author covers key geopolitical trends affecting green economic progress across the world, and ultimately serves a wake-up call: to compete with China's success, Western business leaders need to learn from their Chinese counterparts and treat the green transition as a business case. The balance of global power is poised to shift. No longer copycat manufacturers of inferior products, Chinese firms are at the forefront of the world's potential first "electrostate". Now more than ever it is vital to acknowledge the central role that China plays in the transition to green energy and to learn from their strategies. The Green Superpower is essential reading for policymakers, business leaders, and practitioners who operate at the intersection of environmental policy, security, sustainability and innovation.

How China Shapes Our Future

The Green Superpower

Renowned economist Josh Ryan-Collins provides the ideal pedagogical resource for anyone concerned with the major role central banks play in shaping all of our economic opportunities and daily lives. This book provides a concise, authoritative overview of the history and stated purpose of central banks. With critiques of principles and actions that have emerged since the 2008 crash, Ryan-Collins's own and others' proposals offer a solution of how to reform them. In a clear, easy-to-follow structure, it offers historical-normative descriptions of the evolution and role of central banks alongside "myth-busting" chapters explaining the salient critiques of, and proposed alternatives to, principles at the heart of central-bank thinking. Along the way, it covers the major issues preoccupying critical central banking studies and political economics today, including housing inequalities, climate change, digital currencies, and the potential impact of artificial intelligence.

Rethinking Central Banking and Macrofinancial Policy for the Age of Polycrisis

The Gods that Failed

Wiley Trading

The Ultimate Guide to Mean Reversion

The Universal Principles of Successful Counter Trend Trading

Financial Statement Analysis and Security Valuation ISE

ELEMENTS OF STOCHASTIC FINANCE

Adaptive Trading Agents

A Comprehensive Guide: Reinforcement Learning Systems for Dynamic Financial Markets with Python

Wiley Finance

The complete and practical guide to one of the hottest topics in quantitative finance Deep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analysts. Deep Learning in Quantitative Finance provides a comprehensive treatment of deep learning and describes a wide range of applications in mainstream quantitative finance. Inside, you'll find over ten chapters which apply deep learning to multiple use cases across quantitative finance. You'll also gain access to a companion site containing a set of Jupyter notebooks, developed by the author, that use Python to illustrate the examples in the text. Readers will be able to work through these examples directly. This book is a complete resource on how deep learning is used in quantitative finance applications. It introduces the basics of neural networks, including feedforward networks, optimization, and training, before proceeding to cover more advanced topics. You'll also learn about the most important software frameworks. The book then proceeds to cover the very latest deep learning research in quantitative finance, including approximating derivative values, volatility models, credit curve mapping, generating realistic market data, and hedging. The book concludes with a look at the potential for quantum deep learning and the broader implications deep learning has for quantitative finance and quantitative analysts. <ul> <li>Covers the basics of deep learning and neural networks, including feedforward networks, optimization and training, and regularization techniques</li> <li>Offers an understanding of more advanced topics like CNNs, RNNs, autoencoders, generative models including GANs and VAEs, and deep reinforcement learning</li> <li>Demonstrates deep learning application in quantitative finance through case studies and hands-on applications via the companion website</li> <li>Introduces the most important software frameworks for applying deep learning within finance</li></ul> This book is perfect for anyone engaged with quantitative finance who wants to get involved in a subject that is clearly going to be hugely influential for the future of finance.

Deep Learning in Quantitative Finance

Scam World

This revised and updated third edition of the bestselling guide to understanding football club finance includes analysis of the most recent club accounts, the latest legal rulings on club affairs, and coverage of recent club sales, bankruptcies and accounting irregularities.

Understanding Football Club Finance

The Price of Football

A practical problem solving reference for commodity and Forex derivatives Problems and Solutions in Mathematical Finance provides an innovative reference for quantitative finance students and practitioners.

Problems and Solutions in Mathematical Finance Vol ume IV: Commodity and Foreign Exchange Derivatives

After Nations explores 'a generalised state of crisis' that afflicts the nation-state worldwide. In an effort to understand this crisis, Rana Dasgupta charts the development of the global nation state project from the Enlightenment to the present, its ongoing value unquestioned-to our detriment.

The Making and Unmaking of a World Order

After Nations

De-Globalization & Re-Shoring

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