Recovery and resolution regimes are being developed for central counterparties (CCPs). We analyse current resolution tools in the context of policy, which is to restore the critical functions of a failed CCP. We conclude that the toolkit is insufficient to avoid the costs of resolution being borne by taxpayers, and propose alternative policy suggestions for addressing the problem of a failed CCP.
The financial system and its regulation have undergone exponential growth and dramatic reform over the last thirty years. This period has witnessed major developments in the nature and intensity of financial markets, as well as repeated cycles of regulatory reform and development, often linked to crisis conditions. The recent financial crisis has led to unparalleled interest in financial regulation from policymakers, economists, legal practitioners, and the academic community, and has prompted large-scale regulatory reform. The Oxford Handbook of Financial Regulation is the first comprehensive, authoritative, and state of the art account of the nature of financial regulation. Written by an international team of leading scholars in the field, it takes a contextual and comparative approach to examine scholarly, policy, and regulatory developments in the past three decades. The first three parts of the Handbook address the underpinning horizontal themes which arise in financial regulation: financial systems and regulation; the organization of financial system regulation, including regional examples from the EU and the US; and the delivery of outcomes and regulatory techniques. The final three Parts address the perennial objectives of financial regulation, widely regarded as the anchors of financial regulation internationally: financial stability, market efficiency, integrity, and transparency; and consumer protection. The Oxford Handbook of Financial Regulation is an invaluable resource for scholars and students of financial regulation, economists, policy-makers and regulators.
New regulatory data reveal extensive price discrimination against non-financial clients in the FX derivatives market. The client at the 90th percentile pays an effective spread of 0.5%, while the bottom quarter incur transaction costs of less than 0.02%. Consistent with models of search frictions in over-the-counter markets, dealers charge higher spreads to less sophisticated clients. However, price discrimination is eliminated when clients trade through multi-dealer request-for-quote platforms. We also document that dealers extract rents from captive clients and market opacity, but only for contracts negotiated bilaterally with unsophisticated clients.
The post-trading industry is one in which financial firms make money and one in which risk issues need careful management. Reliable payment, clearing and settlement structures are perceived to be essential to enable financial firms to withstand shocks. A great deal of the cost of trading and cross-border investment is attributed to the very complex process of clearing and settlement. This book describes and explains: 1. what happens in clearing and settlement, and the roles of (and risks assumed by) the various participants in the post-trade marketplace 2. the law applicable to infrastructures, how they are are regulated, and the other topographical features of their legal landscape 3. the legal and practical aspects of risk management and operations of infrastructures 4. the risks faced by participants in payment, clearing and settlement systems - the agent banks - along with practical and operational issues which they face in their roles. Fully revised, updates for the 3rd edition include: - Implications and impact of Brexit - CPMI and IOSCO paper on central counterparty default (CCP) management auctions - cyber-security and the resilience of financial market infrastructures (FMIs) and the wider market ecosystem.
Over the decade or so since the global financial crisis rocked EU financial markets and led to wide-ranging reforms, EU securities and financial markets regulation has continued to evolve. The legislative framework has been refined and administrative rulemaking has expanded. Alongside, the Capital Markets Union agenda has developed, the UK has left the EU, and ESMA has emerged as a decisive influence on EU financial markets governance. All these developments, as well as the Covid-19 pandemic, have shaped the regulatory landscape and how supervision is organized. EU Securities and Financial Markets Regulation provides a comprehensive, critical, and contextual account of the intricate rulebook that governs EU financial markets and its supporting institutional arrangements. It is framed by an assessment of how the regime has evolved over the decade or so since the global financial crisis and considers, among other matters, the post-crisis reforms to key legislative measures, the massive expansion of administrative rulemaking and of soft law, the Capital Markets Union agenda, the development of supervisory convergence as the means for organizing pan-EU supervision, and ESMA's role in EU financial markets governance. Its coverage extends from capital-raising and the Prospectus Regulation to financial market intermediation and the MiFID II/MiFIR and IFD/IFR regimes, to the new regulatory regimes adopted since the global financial crisis (including for benchmarks and their administrators), to retail market regulation and the PRIIPs Regulation, and on to the EU's third country regime and the implications of the UK's departure from the EU. This is the fourth edition of the highly successful and authoritative monograph first published as EC Securities Regulation. Heavily revised from the third edition to reflect developments since the global financial crisis, it adopts the in-depth contextual and analytical approach of earlier editions and so considers the market, political, institutional, and international context of the regulatory and supervisory regime.
Commodities have become an important component of many investors' portfolios and the focus of much political controversy over the past decade. This book utilizes structural models to provide a better understanding of how commodities' prices behave and what drives them. It exploits differences across commodities and examines a variety of predictions of the models to identify where they work and where they fail. The findings of the analysis are useful to scholars, traders and policy makers who want to better understand often puzzling - and extreme - movements in the prices of commodities from aluminium to oil to soybeans to zinc.
This book takes the ISDA Master Agreement (including the Credit Support Annex) as the benchmark for any OTC Derivatives documentation negotiation and explains the relevant "DOs and DON'Ts" when it comes to the most commonly negotiated terms, providing sufficient background to help the reader make an informed decision in relation to important elections. Particular focus is on a number of areas that include but are not limited to: the ISDA modular structure: 1992 and 2002 versions, the ISDA Credit Support Annex (Title Transfer - English Law and Pledge - New York and Japanese Law), practical insights about negotiating the ISDA and CSA, the ISDA protocols and other documentation initiatives linked to EMIR and Dodd-Frank, OTC Clearing, FATCA, Asia-Pacific Regulatory overview, Give-up trading models and documentation. There is no pretention to provide the basis for the perfect negotiation strategy or approach, but there are enough negotiation tips, sample provisions and case law references to help the readers understand what is important, permissible and sensible so as to drive the negotiation effectively. The sample provisions and documentation presented in this book are for reference only and serve the sole purpose of explaining the inherent impact and significance of the underlying topics, risks and issues calling for the inclusion of certain terms. By no means this book should be read or seen as a collection of provisions or templates for general use.
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
