Over the last two decades, macroeconomic cycles were frequently associated with boom-bust cycles in bank lending and asset prices, often followed by financial instability. In this paper we argue that (i) the new pattern of macroeconomic cycles is partly the result of banking-sector liberalization since the early/mid-1970s. which has increased the procyclicality of the financial system; (ii) the regulation of bank capital in the form of capital adequacy requirements is itself inherently procyclical and may therefore amplify business-cycle fluctuations; (iii) the new Basel 11 Accord may considerably accentuate the procyclicality of the regulatory system.
Macroprudential stress testing (MaPST) is becoming firmly embedded in the post-crisis policy-frameworks of financial-sectors around the world. MaPSTs can offer quantitative, forward-looking assessments of the resilience of financial systems as a whole, to particularly adverse shocks. Therefore, they are well suited to support the surveillance of macrofinancial vulnerabilities and to inform the use of macroprudential policy-instruments. This report summarizes the findings of a joint-research effort by MCM and the Systemic-Risk-Centre, which aimed at (i) presenting state-of-the-art approaches on MaPST, including modeling and implementation-challenges; (ii) providing a roadmap for future-research, and; (iii) discussing the potential uses of MaPST to support policy.
This Working Paper should not be reported as representing the views of the IMF. The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate. Over the past year, euro area sovereign spreads have exhibited an unprecedented degree of volatility. This paper explores how much of these large movements reflected shifts in (i) global risk aversion (ii) countryspecific risks, directly from worsening fundamentals, or indirectly from spillovers originating in other sovereigns. The analysis shows that earlier in the crisis, the surge in global risk aversion was a significant factor influencing sovereign spreads, while recently country-specific factors have started playing a more important role. The perceived source of contagion itself has changed: previously, it could be found among those sovereigns hit hard by the financial crisis, such as Austria, the Netherlands, and Ireland, whereas lately the countries putting pressure on euro area government bonds have been primarily Greece, Portugal, and Spain, as the emphasis has shifted towards short-term refinancing risk and long-term fiscal sustainability. The paper concludes that debt sustainability and appropriate management of sovereign balance sheets are necessary conditions for preventing sovereign risk from feeding back into broader financial stability concerns.
This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate.Portfolio credit risk measurement is greatly affected by data constraints, especially when focusing on loans given to unlisted firms. Standard methodologies adopt convenient, but not necessarily properly specified parametric distributions or simply ignore the effects of macroeconomic shocks on credit risk. Aiming to improve the measurement of portfolio credit risk, we propose the joint implementation of two new methodologies, namely the conditional probability of default (CoPoD) methodology and the consistent information multivariate density optimizing (CIMDO) methodology. CoPoD incorporates the effects of macroeconomic shocks into credit risk, recovering robust estimators when only short time series of loans exist. CIMDO recovers portfolio multivariate distributions (on which portfolio credit risk measurement relies) with improved specifications, when only partial information about borrowers is available. Implementation is straightforward and can be very useful in stress testing exercises (STEs), as illustrated by the STE carried out within the Danish Financial Sector Assessment Program.
This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate. This paper uses a Merton-type estimate of the probability of default (PoD) for the main banks in a sample of Organization for Economic Cooperation and Development and middle-income countries as a proxy for the fragility of their banking systems. Based on theory and stylized facts, the paper explores a range of financial and real variables that explain such PoDs across time. We find property price fluctuations and bank credit to be important explanatory factors. There is two-way interaction between these variables and a clearer relationship when the variables are entered as a deviation from trend. The lag structure between such developments and PoDs is long and varies widely across countries. The paper assesses the implications of these findings for economic policy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.