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This publication presents recent OECD papers on risk and regulatory policy. They offer measures for developing, or improving, coherent risk governance policies.
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.
This open access Pivot demonstrates how a variety of technologies act as innovation catalysts within the banking and financial services sector. Traditional banks and financial services are under increasing competition from global IT companies such as Google, Apple, Amazon and PayPal whilst facing pressure from investors to reduce costs, increase agility and improve customer retention. Technologies such as blockchain, cloud computing, mobile technologies, big data analytics and social media therefore have perhaps more potential in this industry and area of business than any other. This book defines a fintech ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research and offering perspectives from business, technology and industry.
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.
Austrian Controller Award 2005 This book develops a comprehensive concept of regulatory risk integrating existing theoretical and empirical research. The focus is on explaining how the design of the regulatory system influences the risk of a rate-regulated firm, as well as on elaborating appropriate methods for the determination of the regulatory rate base and the allowed rate of return. Regarding the regulatory rate base, the question of whether market value of capital or book value of assets should be employed and the choice of the depreciation scheme are at the center of the discussion. Specific methodical issues concerning cost of capital assessment for rate-regulated firms are analyzed, i.e. the circularity of rate regulation, the sharing of risks between capital owners and rate payers, the length of the regulatory review period, the regulation of the capital structure as well as the conversion of a post-tax to pre-tax weighted average cost of capital.