Download Free Advances In Risk Management Of Government Debt Book in PDF and EPUB Free Download. You can read online Advances In Risk Management Of Government Debt and write the review.

Recent events have shown that sovereigns, just like banks, can be subject to runs, highlighting the importance of the investor base for their liabilities. This paper proposes a methodology for compiling internationally comparable estimates of investor holdings of sovereign debt. Based on this methodology, it introduces a dataset for 24 major advanced economies that can be used to track US$42 trillion of sovereign debt holdings on a quarterly basis over 2004-11. While recent outflows from euro periphery countries have received wide attention, most sovereign borrowers have continued to increase reliance on foreign investors. This may have helped reduce borrowing costs, but it can imply higher refinancing risks going forward. Meanwhile, advanced economy banks’ exposure to their own government debt has begun to increase across the board after the global financial crisis, strengthening sovereign-bank linkages. In light of these risks, the paper proposes a framework—sovereign funding shock scenarios (FSS)—to conduct forward-looking analysis to assess sovereigns’ vulnerability to sudden investor outflows, which can be used along with standard debt sustainability analyses (DSA). It also introduces two risk indices—investor base risk index (IRI) and foreign investor position index (FIPI)—to assess sovereigns’ vulnerability to shifts in investor behavior.
This study on government debt brings together a number of reports on best practices for managing market risk, credit risk, operational risk and contingent liability risk. It was prepared by the OECD Working Party on Public Debt Management.
This paper provides an overview of sovereign debt portfolio risks and discusses various liability management operations (LMOs) and instruments used by public debt managers to mitigate these risks. Debt management strategies analyzed in the context of helping reach debt portfolio targets and attain desired portfolio structures. Also, the paper outlines how LMOs could be integrated into a debt management strategy and serve as policy tools to reduce potential debt portfolio vulnerabilities. Further, the paper presents operational issues faced by debt managers, including the need to develop a risk management framework, interactions of debt management with fiscal policy, monetary policy, and financial stability, as well as efficient government bond markets.
NULL
This study on government debt brings together a number of reports on best practices for managing market risk, credit risk, operational risk and contingent liability risk. It was prepared by the OECD Working Party on Public Debt Management.
The global economy has experienced four waves of rapid debt accumulation over the past 50 years. The first three debt waves ended with financial crises in many emerging market and developing economies. During the current wave, which started in 2010, the increase in debt in these economies has already been larger, faster, and broader-based than in the previous three waves. Current low interest rates mitigate some of the risks associated with high debt. However, emerging market and developing economies are also confronted by weak growth prospects, mounting vulnerabilities, and elevated global risks. A menu of policy options is available to reduce the likelihood that the current debt wave will end in crisis and, if crises do take place, will alleviate their impact.
A number of member countries have expressed interest in advice regarding disclosure and management of fiscal risks (defined as the possibility of deviations of fiscal outcomes from what was expected at the time of the budget or other forecast). This paper analyzes the main sources of fiscal risks and—building on an overview of existing practices in a wide range of countries—provides practical suggestions in this area, including a possible Statement of Fiscal Risks and a set of Guidelines for Fiscal Risk Disclosure and Management.
Credit risk remains one of the major risks faced by most financial and credit institutions. It is deeply connected to the real economy due to the systemic nature of some banks, but also because well-managed lending facilities are key for wealth creation and technological innovation. This book is a collection of innovative papers in the field of credit risk management. Besides the probability of default (PD), the major driver of credit risk is the loss given default (LGD). In spite of its central importance, LGD modeling remains largely unexplored in the academic literature. This book proposes three contributions in the field. Ye & Bellotti exploit a large private dataset featuring non-performing loans to design a beta mixture model. Their model can be used to improve recovery rate forecasts and, therefore, to enhance capital requirement mechanisms. François uses instead the price of defaultable instruments to infer the determinants of market-implied recovery rates and finds that macroeconomic and long-term issuer specific factors are the main determinants of market-implied LGDs. Cheng & Cirillo address the problem of modeling the dependency between PD and LGD using an original, urn-based statistical model. Fadina & Schmidt propose an improvement of intensity-based default models by accounting for ambiguity around both the intensity process and the recovery rate. Another topic deserving more attention is trade credit, which consists of the supplier providing credit facilities to his customers. Whereas this is likely to stimulate exchanges in general, it also magnifies credit risk. This is a difficult problem that remains largely unexplored. Kanapickiene & Spicas propose a simple but yet practical model to assess trade credit risk associated with SMEs and microenterprises operating in Lithuania. Another topical area in credit risk is counterparty risk and all other adjustments (such as liquidity and capital adjustments), known as XVA. Chataignier & Crépey propose a genetic algorithm to compress CVA and to obtain affordable incremental figures. Anagnostou & Kandhai introduce a hidden Markov model to simulate exchange rate scenarios for counterparty risk. Eventually, Boursicot et al. analyzes CoCo bonds, and find that they reduce the total cost of debt, which is positive for shareholders. In a nutshell, all the featured papers contribute to shedding light on various aspects of credit risk management that have, so far, largely remained unexplored.
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.
The last time global sovereign debt reached the level seen today was at the end of the Second World War, and this shaped a generation of economic policymaking. International institutions were transformed, country policies were often draconian and distortive, and many crises ensued. By the early 1970s, when debt fell back to pre-war levels, the world was radically different. It is likely that changes of a similar magnitude -for better and for worse - will play out over coming decades. Sovereign Debt: A Guide for Economists and Practitioners is an attempt to build some structure around the issues of sovereign debt to help guide economists, practitioners and policymakers through this complicated, but not intractable, subject. Sovereign Debt brings together some of the world's leading researchers and specialists in sovereign debt to cover a range of sub-disciplines within this vast topic. It explores debt management with debt sustainability; debt reduction policies with crisis prevention policies; and the history with the conjuncture. It is a foundation text for all those interested in sovereign debt, with a particular focus real world examples and issues.