Integrating Solvency And Liquidity Stress Tests The Use Of Markov Regime Switching Models
Download Integrating Solvency And Liquidity Stress Tests The Use Of Markov Regime Switching Models full books in PDF, epub, and Kindle. Read online free Integrating Solvency And Liquidity Stress Tests The Use Of Markov Regime Switching Models ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Mr.Fei Han |
| Publisher | : International Monetary Fund |
| Total Pages | : 41 |
| Release | : 2019-11-15 |
| Genre | : Business & Economics |
| ISBN | : 1513519794 |
The paper presents a framework to integrate liquidity and solvency stress tests. An empirical study based on European bond trading data finds that asset sales haircuts depend on the total amount of assets sold and general liquidity conditions in the market. To account for variations in market liquidity, the study uses Markov regime-switching models and links haircuts with market volatility and the amount of securities sold by banks. The framework is accompanied by a Matlab program and an Excel-based tool, which allow the calculations to be replicated for any type of traded security and to be used for liquidity and solvency stress testing.
| Author | : Fei Han |
| Publisher | : |
| Total Pages | : 42 |
| Release | : 2019 |
| Genre | : Economics |
| ISBN | : 9781513521909 |
| Author | : Mr.Fei Han |
| Publisher | : International Monetary Fund |
| Total Pages | : 41 |
| Release | : 2019-11-15 |
| Genre | : Business & Economics |
| ISBN | : 1513521888 |
The paper presents a framework to integrate liquidity and solvency stress tests. An empirical study based on European bond trading data finds that asset sales haircuts depend on the total amount of assets sold and general liquidity conditions in the market. To account for variations in market liquidity, the study uses Markov regime-switching models and links haircuts with market volatility and the amount of securities sold by banks. The framework is accompanied by a Matlab program and an Excel-based tool, which allow the calculations to be replicated for any type of traded security and to be used for liquidity and solvency stress testing.
| Author | : Mr.Tobias Adrian |
| Publisher | : International Monetary Fund |
| Total Pages | : 73 |
| Release | : 2020-02-05 |
| Genre | : Business & Economics |
| ISBN | : 1513520741 |
This paper explains specifics of stress testing at the IMF. After a brief section on the evolution of stress tests at the IMF, the paper presents the key steps of an IMF staff stress test. They are followed by a discussion on how IMF staff uses stress tests results for policy advice. The paper concludes by identifying remaining challenges to make stress tests more useful for the monitoring of financial stability and an overview of IMF staff work program in that direction. Stress tests help assess the resilience of financial systems in IMF member countries and underpin policy advice to preserve or restore financial stability. This assessment and advice are mainly provided through the Financial Sector Assessment Program (FSAP). IMF staff also provide technical assistance in stress testing to many its member countries. An IMF macroprudential stress test is a methodology to assess financial vulnerabilities that can trigger systemic risk and the need of systemwide mitigating measures. The definition of systemic risk as used by the IMF is relevant to understanding the role of its stress tests as tools for financial surveillance and the IMF’s current work program. IMF stress tests primarily apply to depository intermediaries, and, systemically important banks.
| Author | : Ms. Hiroko Oura |
| Publisher | : International Monetary Fund |
| Total Pages | : 54 |
| Release | : 2022-12-16 |
| Genre | : Business & Economics |
| ISBN | : |
Developing a systemic liquidity stress testing tool is challenging due to data constraints and hard-to-model behavioral factors. There has yet to be a uniformly accepted model partly because the nature of systemic liquidity risks differs significantly across countries. This paper offers a simple Excel-based tool to assess the high-level impact of aggregate liquidity stress on the whole economy and gauge its spillover across banks, non-bank financial institutions (NBFIs), and non-financial economic sectors. It primarily uses the balance sheet approach (BSA) data—a sector-aggregate matrix of financial exposure by counterpart—that have become increasingly available for various economies with all income levels. The results can identify systemically important financial linkages to be analyzed further and help calibrate macroprudential measures and a liquidity support framework. When liquidity stress stems from capital outflows, the tool can enrich policy discussion based on integrated policy framework (IPF) and international reserve adequacy perspectives.
| Author | : J. Doyne Farmer |
| Publisher | : Cambridge University Press |
| Total Pages | : 730 |
| Release | : 2022-04-14 |
| Genre | : Mathematics |
| ISBN | : 1108906079 |
Stress tests are the most innovative regulatory tool to prevent and fight financial crises. Their use has fundamentally changed the modeling of financial systems, financial risk management in the public and private sector, and the policies designed to prevent and mitigate financial crises. When financial crises hit, stress tests take center stage. Despite their centrality to public policy, the optimal design and use of stress tests remains highly contested. Written by an international team of leading thinkers from academia, the public sector, and the private sector, this handbook comprehensively surveys and evaluates the state of play and charts the innovations that will determine the path ahead. It is a comprehensive and interdisciplinary resource that bridges theory and practice and places financial stress testing in its wider context. This guide is essential reading for researchers, practitioners, and policymakers working on financial risk management and financial regulation.
| Author | : International Monetary |
| Publisher | : International Monetary Fund |
| Total Pages | : 69 |
| Release | : 2021-05-28 |
| Genre | : Business & Economics |
| ISBN | : 151358412X |
This paper reviews quantitative tools of financial stability assessments under the Financial Sector Assessment Program (FSAP). A key focus of FSAPs is on methodologies to gauge risks on a system-wide level and propose mitigating measures. Therefore, the paper concentrates on the main elements of the FSAP’s macroprudential stress testing framework:(i) the interaction among solvency, liquidity, and contagion risks in the banking sector, (ii) the assessment of the health of nonbank financial institutions (NBFIs), their interactions with banks and their impact on financial markets, (iii) the assessment of the health of nonfinancial sectors and their links to the financial sector, and (iv) macroprudential policy analysis. The paper also reviews recent improvements in microprudential bank solvency stress testing—an important foundation for the macroprudential stress testing framework—and discusses new tools for emerging risks (climate change, fintech, and cyber).
| Author | : Mr.Andreas A. Jobst |
| Publisher | : International Monetary Fund |
| Total Pages | : 84 |
| Release | : 2014-07-22 |
| Genre | : Business & Economics |
| ISBN | : 149832455X |
Over the last decade, stress testing has become a central aspect of the Fund’s bilateral and multilateral surveillance work. Recently, more emphasis has also been placed on the role of insurance for financial stability analysis. This paper reviews the current state of system-wide solvency stress tests for insurance based on a comparative review of national practices and the experiences from Fund’s FSAP program with the aim of providing practical guidelines for the coherent and consistent implementation of such exercises. The paper also offers recommendations on improving the current insurance stress testing approaches and presentation of results.
| Author | : Mr.Stefan W. Schmitz |
| Publisher | : International Monetary Fund |
| Total Pages | : 46 |
| Release | : 2017-05-15 |
| Genre | : Business & Economics |
| ISBN | : 1484300661 |
This paper presents new evidence on the empirical relationship between bank solvency and funding costs. Building on a newly constructed dataset drawing on supervisory data for 54 large banks from six advanced countries over 2004–2013, we use a simultaneous equation approach to estimate the contemporaneous interaction between solvency and liquidity. Our results show that liquidity and solvency interactions can be more material than suggested by the existing empirical literature. A 100 bps increase in regulatory capital ratios is associated with a decrease of bank funding costs of about 105 bps. A 100 bps increase in funding costs reduces regulatory capital buffers by 32 bps. We also find evidence of non-linear effects between solvency and funding costs. Understanding the impact of solvency on funding costs is particularly relevant for stress testing. Our analysis suggests that neglecting the dynamic features of the solvency-liquidity nexus in the 2014 EU-wide stress test could have led to a significant underestimation of the impact of stress on bank capital ratios.
| Author | : Mr.Jorge A. Chan-Lau |
| Publisher | : International Monetary Fund |
| Total Pages | : 34 |
| Release | : 2017-05-05 |
| Genre | : Business & Economics |
| ISBN | : 1475599021 |
Model selection and forecasting in stress tests can be facilitated using machine learning techniques. These techniques have proved robust in other fields for dealing with the curse of dimensionality, a situation often encountered in applied stress testing. Lasso regressions, in particular, are well suited for building forecasting models when the number of potential covariates is large, and the number of observations is small or roughly equal to the number of covariates. This paper presents a conceptual overview of lasso regressions, explains how they fit in applied stress tests, describes its advantages over other model selection methods, and illustrates their application by constructing forecasting models of sectoral probabilities of default in an advanced emerging market economy.
