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The 2008 global financial crisis brought the world's economy closer to collapse than ever before. Has enough been done to prevent another crisis?
In the aftermath of the recent financial crisis, the federal government has pursued significant regulatory reforms, including proposals to measure and monitor systemic risk. However, there is much debate about how this might be accomplished quantitatively and objectively—or whether this is even possible. A key issue is determining the appropriate trade-offs between risk and reward from a policy and social welfare perspective given the potential negative impact of crises. One of the first books to address the challenges of measuring statistical risk from a system-wide persepective, Quantifying Systemic Risk looks at the means of measuring systemic risk and explores alternative approaches. Among the topics discussed are the challenges of tying regulations to specific quantitative measures, the effects of learning and adaptation on the evolution of the market, and the distinction between the shocks that start a crisis and the mechanisms that enable it to grow.
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Until about twenty years ago, the consensus view on the cause of financial-system distress was fairly simple: a run on one bank could easily turn to a panic involving runs on all banks, destroying some and disrupting the financial system. Since then, however, a series of events—such as emerging-market debt crises, bond-market meltdowns, and the Long-Term Capital Management episode—has forced a rethinking of the risks facing financial institutions and the tools available to measure and manage these risks. The Risks of Financial Institutions examines the various risks affecting financial institutions and explores a variety of methods to help institutions and regulators more accurately measure and forecast risk. The contributors--from academic institutions, regulatory organizations, and banking--bring a wide range of perspectives and experience to the issue. The result is a volume that points a way forward to greater financial stability and better risk management of financial institutions.
The potential failure of a large bank presents vexing questions for policymakers. It poses significant risks to other financial institutions, to the financial system as a whole, and possibly to the economic and social order. Because of such fears, policymakers in many countries—developed and less developed, democratic and autocratic—respond by protecting bank creditors from all or some of the losses they otherwise would face. Failing banks are labeled "too big to fail" (or TBTF). This important new book examines the issues surrounding TBTF, explaining why it is a problem and discussing ways of dealing with it more effectively. Gary Stern and Ron Feldman, officers with the Federal Reserve, warn that not enough has been done to reduce creditors' expectations of TBTF protection. Many of the existing pledges and policies meant to convince creditors that they will bear market losses when large banks fail are not credible, resulting in significant net costs to the economy. The authors recommend that policymakers enact a series of reforms to reduce expectations of bailouts when large banks fail.
The evolution of risk management has resulted from the interplay of financial crises, risk management practices, and regulatory actions. In the 1970s, research lay the intellectual foundations for the risk management practices that were systematically implemented in the 1980s as bond trading revolutionized Wall Street. Quants developed dynamic hedging, Value-at-Risk, and credit risk models based on the insights of financial economics. In parallel, the Basel I framework created a level playing field among banks across countries. Following the 1987 stock market crash, the near failure of Salomon Brothers, and the failure of Drexel Burnham Lambert, in 1996 the Basel Committee on Banking Supervision published the Market Risk Amendment to the Basel I Capital Accord; the amendment went into effect in 1998. It led to a migration of bank risk management practices toward market risk regulations. The framework was further developed in the Basel II Accord, which, however, from the very beginning, was labeled as being procyclical due to the reliance of capital requirements on contemporaneous volatility estimates. Indeed, the failure to measure and manage risk adequately can be viewed as a key contributor to the 2008 global financial crisis. Subsequent innovations in risk management practices have been dominated by regulatory innovations, including capital and liquidity stress testing, macroprudential surcharges, resolution regimes, and countercyclical capital requirements.
A framework for macroprudential regulation that defines systemic risk and macroprudential policy, describes macroprudential tools, and surveys the effectiveness of existing macroprudential regulation. The recent financial crisis has shattered all standard approaches to banking regulation. Regulators now recognize that banking regulation cannot be simply based on individual financial institutions' risks. Instead, systemic risk and macroprudential regulation have come to the forefront of the new regulatory paradigm. Yet our knowledge of these two core aspects of regulation is still limited and fragmented. This book offers a framework for understanding the reasons for the regulatory shift from a microprudential to a macroprudential approach to financial regulation. It defines systemic risk and macroprudential policy, cutting through the generalized confusion as to their meaning; contrasts macroprudential to microprudential approaches; discusses the interaction of macroprudential policy with macroeconomic policy (monetary policy in particular); and describes macroprudential tools and experiences with macroprudential regulation around the world. The book also considers the remaining challenges for establishing effective macroprudential policy and broader issues in regulatory reform. These include the optimal size and structure of the financial system, the multiplicity of regulatory bodies in the United States, the supervision of cross-border financial institutions, and the need for international cooperation on macroprudential policies.
The book brings together academics, regulators, and industry experts to provide a multifaceted array of research and perspectives on insurance, its role and functioning, and the potential systemic risk it could create.
"In the wake of the global financial crisis that began in 2008, offers a systematic overview of recent developments in regulatory frameworks in advanced and emerging-market countries, outlining challenges to improving regulation, markets, and access in developing economies"--Provided by publisher.