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Gesamtkatalog

Catalogue complet

Merrick C: Securitization and
Asset-Backed Finance Fundamentals

Securitization and Asset-Backed Finance Fundamentals

Learning Structured Finance Techniques and Asset Transformation Mechanisms in Modern Banking

Prescriptions for Quant Traders Using R is a practical, hands-on guide for turning data into trading decisions. This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. It delivers step-by-step "prescriptions" using R-script-driven tasks that solve real-world trading problems.

Videos & Scripts

Prescriptions for Quant Traders Using R

Routledge Research in Finance and Banking Law

This book weaves together a comprehensive legal analysis of sustainable finance regimes governing Environment, Social and Governance (ESG) derivatives, with insightful sociological perspectives on risks and uncertainties.Sustainable finance offers a unique chance to channel capital towards sustainability goals, with ESG derivatives emerging as potent catalysts for a transition to a more sustainable economy. Beyond amplifying capital flow, they strategically align with effective ESG risk and uncertainty management. The book explores how integrating ESG derivatives can strategically serve sustainable investment, offering insights into optimal risk management. The work not only outlines challenges but presents potential solutions, highlighting ESG derivatives' role in addressing market failures affecting sustainable finance, which is an aspect often overlooked by regulators in the EU, the UK, and the US. Serving as a strategy guide for countries adopting a diverse sustainable finance portfolio, the book targets policy practitioners and advocacy specialists, catering to a broad multidisciplinary audience amid the increasing interest in ESG-related products.The book's dual emphasis on financial derivatives for ESG risk management and sociological perspectives positions it as an ideal resource for scholars, experts, practitioners, researchers, and curious minds across law, business, management, and sociological studies.

Risk, Uncertainty and Sustainable Finance

The Law of ESG Derivatives

Equips legal professionals and stakeholders with a clear, authoritative, and practical guide to the UK legal treatment of digital payments and tokenised assets. The Law of Digital Payments explores the evolving landscape of UK financial law as it adapts to innovations in digital finance. With fintech disrupting traditional models of value exchange, legal professionals must navigate complex regulatory challenges concerning digital wallets, open banking APIs, smart contracts, decentralised finance (DeFi), and the treatment of tokenised assets under common law. This work delves into how UK courts and regulators are addressing these innovations. It provides clarity on the current legal treatment of payment tokens, security tokens, cryptoassets and non-fungible tokens (NFTs). It also investigates the impact of the Financial Services and Markets Act 2023, the Bank of England's stance on central bank digital currencies (CBDCs), and how the Payment Services Regulations and E-Money Regulations are applied to innovative business models. Drawing upon regulatory guidance, case law, and international developments, the book is designed to help practitioners, regulators, academics, and financial institutions understand and navigate the complex intersection of law and digital finance. This title is included in Bloomsbury Professional's Banking and Finance Law online service.

The Law of Digital Payments

Schriften zum Unternehmens- und Kapitalmarktrecht

For European market abuse law, the concept of inside information pursuant to Art. 7 MAR is central. Alongside the well-known category of value-related information, so-called trading information constitutes a distinct case of application. Despite its far-reaching economic significance, trading information and its characteristics have received comparatively little attention in legal discourse. The reasons are manifold. First, the statutory criteria appear largely similar. Moreover, Art. 7(1)(d) MAR is predominantly understood as a mere illustrative example. In addition, the source of the arbitrage potential inherent in trading information is legally more difficult to capture than that of value-related information. Finally, the techniques allegedly suitable for exploiting trading information remain largely unknown to the broader capital market public. Thomas Gauweiler contributes to enhancing the applicability of the (legal) concept of trading information under Art. 7(1)(d) MAR by embedding it, from a perspective of law and economics, within the complex landscape of capital markets.

Eine Studie zu Art. 7 Abs. 1 lit. d) MAR

Handelsinformationen und Fundamentalwertrelevanz

Sustainability matters increasingly affect and concern central banks around the globe, while the perception of what they are legally empowered to do may differ depending on the jurisdiction at hand. This volume systematically assesses the role of central banks in matters of sustainability from different perspectives in academia and central banking practice - some more favourable of a proactive engagement of central banks in sustainability policies, others more critical and vigilant of legal and legitimacy boundaries of such engagement. The methodological approaches the authors deploy include legal-doctrinal analysis, qualitative empirical analysis, and economic theory. The essays together provide a balanced assessment of the role central banks can and should play in sustainability matters, addressing legal aspects, legitimacy concerns, and concerns of interinstitutional balance as well as economic and operational considerations. The book covers both developed and developing economies, where central banks are already facing the dire consequences of the warming climate.

Central Banking and Sustainability

This textbook examines the role of cognitive biases, emotional influences, and mental heuristics that shape investor behaviour and market outcomes. Designed to serve as a comprehensive resource, it integrates foundational concepts and advanced applications, ensuring utility for financial practitioners, academics, and students alike. This book will be essential for understanding the psychological underpinnings of financial behaviour and leveraging this knowledge to advance personal and professional objectives in finance. The integration of behaviour tests and experiments further enhances its utility, enabling practitioners to identify and address behavioural biases systematically. It fills a critical gap in existing literature, which often prioritises perspectives rooted in developed economies. It aims to place behavioural finance within the context of these markets and offers insights that are both domestically relevant and globally informed.Written in a lucid yet academically robust manner, the book ensures accessibility without compromising the depth of analysis, making it suitable for both novice learners and experienced scholars. It would be useful as a core text for undergraduate and postgraduate students of management, commerce and economics.

Theory and Application

Behavioural Finance

In recent years, the financial services industry has witnessed a transformative shift driven by the integration of artificial intelligence (AI) technologies. "AI Agents Essentials for Finance and Banking" is designed to provide finance and banking professionals with a comprehensive and practical guide to understanding and implementing AI agents within their organizations. This textbook focuses on the specific applications of AI in critical areas such as retail banking, credit risk assessment, fraud detection, anti-money laundering (AML) and know-your-customer (KYC) protocols, payments, treasury management, capital markets, compliance, model risk management, cybersecurity, privacy, and governance. By honing in on these essential topics, this book aims to bridge the gap between theoretical knowledge and practical application, ensuring that professionals can effectively leverage AI agents in their daily operations. The book is structured to offer a publication-ready resource that combines rigorous academic insights with actionable frameworks tailored for the finance and banking sectors. Each chapter is meticulously crafted to address the unique challenges and opportunities that financial institutions face in adopting AI technologies. Readers will find a wealth of information on the implementation of AI agents, including best practices, case studies, and control frameworks that align with regulatory requirements. This practical approach is crucial for professionals who must navigate the complex landscape of financial services while ensuring compliance with evolving regulations and standards. A significant focus of this textbook is the governance and accountability of AI implementations within financial institutions. As organizations increasingly rely on AI agents for decision-making processes, the need for robust governance structures becomes paramount. This book emphasizes the importance of responsible AI practices, including ethical considerations, transparency, and risk management. By providing a thorough examination of these governance aspects, we aim to equip banking professionals with the necessary tools to implement AI technologies responsibly and effectively, thereby fostering trust and confidence among stakeholders. Furthermore, the exploration of specific applications such as fraud detection and AML/KYC compliance underscores the critical role of AI in enhancing operational efficiency and risk mitigation. The integration of AI agents in these domains not only streamlines processes but also enhances the accuracy and speed of decision-making. By delving into real-world examples and practical case studies, this textbook illustrates how AI can be harnessed to address pressing challenges in the financial sector, ultimately driving innovation and improving customer experiences. In conclusion, "AI Agents Essentials for Finance and Banking" serves as an indispensable resource for finance and banking professionals seeking to navigate the complexities of AI adoption in their organizations. By focusing on practical applications, governance, and compliance, this textbook equips readers with the insights and tools necessary to implement AI agents effectively and responsibly. As the financial landscape continues to evolve, this book aims to empower professionals to harness the potential of AI technologies while maintaining a commitment to ethical practices and regulatory adherence.

AI Agents Essentials for Finance and Banking

FROM FUNDAMENTALS TO ADVANCED MODELING

PYTHON FOR FINANCE

Understanding Liquidity Solutions, Share Transfers, Pricing, and Market Dynamics

Secondary Venture Markets Explained

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

Quantum of Justice - The Fraud of Foreclosure and the Illegal Securitization of Notes by Wall Street

MODELO DE EJECUCIÓN SNIPER

MENOS ANÁLISIS MEJOR EJECUCIÓN

Securitization and Asset-Backed Finance Fundamentals

Weitere Titel zum Thema