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CFA Institute: 2026 CFA Program
Curriculum Level II Box Set

2026 CFA Program Curriculum Level II Box Set

Common Sense on Mutual Funds, Updated 10th Anniversary Edition

Managerial Accounting For Dummies

Routledge International Studies in Money and Banking

Environmental, Social and Governance Performance

Financial and Technological Innovation for Sustainability

Wiley Finance

Get authoritative and easy-to-understand guidance on the frontiers of sustainable finance Sustainable Finance for Returns and Impact, written by James Cheo and Matthew Dearth, is an essential guide addressing the growing demands from investors and stakeholders for heightened transparency and accountability from both companies and financial institutions. This book is a crucial addition to the Wiley Finance Series, providing comprehensive insights into sustainable finance disclosure regulation. The authors dive deep into the relationship between sustainability and financial returns, covering topics such as corporate sustainability, greenwashing, ESG ratings, impact investing, and sustainable investment strategies. They include practical steps to integrate sustainability into investments for improved financial performance and impact from the perspective of both theory and practice. You'll: <ul> <li>Understand the impact of sustainability on both the planet and the financial system</li> <li>Find practical steps to integrate sustainability into investments</li> <li>Get insights from public and private companies, institutional and individual investors, regulators, and international agencies</li> <li>Discover interviews and case studies with industry experts</li> </ul> Sustainable Finance for Returns and Impact is an invaluable resource for professionals, students, and investors looking to incorporate sustainability into their financial decisions and investments.

Sustainable Finance for Returns and Impact

How Winning Traders Win

Hedge Fund Market Wizards

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

J.K. Lasser

For Preparing Your 2025 Tax Return

J.K. Lasser's Your Income Tax 2026

Your Complete Guide to a Better Bottom Line

J.K. Lasser's Small Business Taxes 2026

Routledge Studies in the Economics of Innovation

A Framework for Enhancing Global Competitiveness

Emerging Markets and the Digital Economy

Building an Inclusive and Resilient Financial Future

Financial Regulation and Governance in the Post-COVID Era

Discover how distributed ledger technologies work under the hood and learn how to identify those that are actually cryptographically secured and decentralized In The Digital Asset Technology Guidebook: Deciphering the Keys to Crypto, Blockchain, and Decentralized Finance, certified blockchain developer and a Vice President of Emerging Technology Integration and Cybersecurity, Dr. David Utzke, delivers an authoritative and well-organized discussion of how to understand the architectural components inside distributed ledgers. In other words, this book shows you how to understand the real-world risks of exploitation in digital assets minted in Layer 2 ("smart") contracts. You'll learn how to identify the developer team behind specific contracts and determine whether cryptography actually exists as a component in the "crypto" asset. You'll also discover which technological features and capabilities are most likely to result in vulnerabilities to bad actors. Inside the book: <ul> <li>A taxonomical description of digital assets, as well as insights into hundreds of distributed ledger architectures </li> <li>A guide to identifying assets developed on non-distributed ledger platforms </li> <li>The technical information you need to confidently navigate the world of distributed ledger and blockchain technologies </li> </ul> Perfect for academics and researchers studying and teaching distributed ledger technology and digital asset coding and security, The Digital Asset Technology Guidebook is also a must-read for financial crime analysts, law enforcement personnel investing financial and cyber crimes, attorneys, investors, and fund analysts and managers.

Deciphering the Keys to Crypto, Blockchain, and Decentralized Finance

The Digital Asset Technology Guidebook

This is not your dad's tax guide; this is your punk rock older sister's Equal parts empathetic and practical, Taxes for Humans is a handbook for tackling the tax-season-scaries, written specifically for people who are self-employed. Provides essential tax education for those pushed to the back of the financial line in America, including women, queer people, and BIPOC folks, this book provides the practical tools people need to understand their taxes, conquer their fear of finances, bulk up on tax benefits, and end the tax season stronger, smarter, and more tax-savvy than ever--without sacrificing their sanity. With accessibility in mind, this book is structured into an easy-to-follow framework: <ul> <li>The Mindset: Address limiting beliefs and make the case for tax empowerment</li> <li>The Education: Start from the ground-level, without shame or jargon, and lay a foundation of tax knowledge</li> <li>The Organization: Build the systems that will get you organized and keep you organized</li> <li>The Level-up: Take up space by using next-level skills like planning and tax-smart accounts to grow your wealth (and power)</li> <li>The Fix: Mend a broken tax situation (audits, disappearing spouses, back-taxes, and escaping the tax-debt spiral)</li> <li>The Bigger Picture: Connect your personal wellbeing with the wellbeing of the communities you love</li> </ul> Taxes for Humans is an essential read for all freelancers, creatives, and self-employed people seeking to understand, take control of, and reduce stress surrounding their tax.

Simplify Your Taxes and Change the World When You're Self-Employed

Taxes for Humans

2026 CFA Program Curriculum Level II Box Set

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