This paper shows how the role of Financial Soundness Indicators (FSIs) in financial surveillance can be usefully enhanced. Drawing from different statistical techniques, the paper illustrates that FSIs generate signals that can accurately detect, with 4 to 12 quarters lead, emerging financial distress—as measured by tight financial conditions.
Financial Soundness Indicators (FSIs) are measures that indicate the current financial health and soundness of a country's financial institutions, and their corporate and household counterparts. FSIs include both aggregated individual institution data and indicators that are representative of the markets in which the financial institutions operate. FSIs are calculated and disseminated for the purpose of supporting macroprudential analysis--the assessment and surveillance of the strengths and vulnerabilities of financial systems--with a view to strengthening financial stability and limiting the likelihood of financial crises. Financial Soundness Indicators: Compilation Guide is intended to give guidance on the concepts, sources, and compilation and dissemination techniques underlying FSIs; to encourage the use and cross-country comparison of these data; and, thereby, to support national and international surveillance of financial systems.
Financial soundness indicators (FSIs) are methodological tools that help quantify and qualify the soundness and vulnerabilities of financial systems according to five areas of interests: capital adequacy, asset quality, earnings, liquidity, and sensitivity to market risk. With support from the Investment Climate Facilitation Fund under the Regional Cooperation and Integration Financing Facility, this report describes the development of FSIs for Viet Nam and analyzes the stability and soundness of the Vietnamese banking system by using these indicators. The key challenges to comprehensively implementing reforms and convincingly addressing the root causes of the banking sector problems include (i) assessing banks' recapitalization needs, (ii) revising classification criteria to guide resolution options, (iii) recapitalization and restructuring that may include foreign partnerships, (iv) strengthening the Vietnam Asset Management Company, (v) developing additional options to deal with nonperforming loans, (vi) tightening supervision to ensure a sound lending practice, (vii) revamping the architecture and procedures for crisis management, and (viii) strengthening financial safety nets during the reform process.
We explore empirically how the time-varying allocation of credit across firms with heterogeneous credit quality matters for financial stability outcomes. Using firm-level data for 55 countries over 1991-2016, we show that the riskiness of credit allocation, captured by Greenwood and Hanson (2013)’s ISS indicator, helps predict downside risks to GDP growth and systemic banking crises, two to three years ahead. Our analysis indicates that the riskiness of credit allocation is both a measure of corporate vulnerability and of investor sentiment. Economic forecasters wrongly predict a positive association between the riskiness of credit allocation and future growth, suggesting a flawed expectations process.
In the wake of the financial crises of the late 1990s, there was a surge of interest in the systematic assessment of financial sectors, with a view to identifying vulnerabilities and evaluating the sector's developmental needs. Consequently, there has been an increased demand from financial sector authorities in many countries for information on key issues and sound practices in the assessment of financial systems and the appropriate design of policy responses. In response, Financial Sector Assessmsnet presents a general analytical framework and broad guidance on approaches, methodologies and key techniques for assessing the stability and development needs of financial systems. It synthesizes current global sound practices in financial sector assessment.
This paper reviews the literature on financial crises focusing on three specific aspects. First, what are the main factors explaining financial crises? Since many theories on the sources of financial crises highlight the importance of sharp fluctuations in asset and credit markets, the paper briefly reviews theoretical and empirical studies on developments in these markets around financial crises. Second, what are the major types of financial crises? The paper focuses on the main theoretical and empirical explanations of four types of financial crises—currency crises, sudden stops, debt crises, and banking crises—and presents a survey of the literature that attempts to identify these episodes. Third, what are the real and financial sector implications of crises? The paper briefly reviews the short- and medium-run implications of crises for the real economy and financial sector. It concludes with a summary of the main lessons from the literature and future research directions.
In a recently released New York Fed staff report, we present a forward-looking monitoring program to identify and track time-varying sources of systemic risk.
The October 2017 Global Financial Stability Report finds that the global financial system continues to strengthen in response to extraordinary policy support, regulatory enhancements, and the cyclical upturn in growth. It also includes a chapter that examines the short- and medium-term implications for economic growth and financial stability of the past decades’ rise in household debt. It documents large differences in household debt-to-GDP ratios across countries but a common increasing trajectory that was moderated but not reversed by the global financial crisis. Another chapter develops a new macroeconomic measure of financial stability by linking financial conditions to the probability distribution of future GDP growth and applies it to a set of 20 major advanced and emerging market economies. The chapter shows that changes in financial conditions shift the whole distribution of future GDP growth.
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.
This Financial System Stability Assessment paper on Thailand highlights that assets of the insurance and mutual fund sectors have doubled as a share of gross domestic product over the last decade, and capital markets are largely on par with regional peers. The report discusses significant slowdown in China and advanced economies, a sharp rise in risk premia, and entrenched low inflation would adversely impact the financial system. Stress tests results suggest that the banking sector is resilient to severe shocks and that systemic and contagion risks stemming from interlinkages are limited. Financial system oversight is generally strong, but the operational independence of supervisory agencies can be strengthened further. The operational independence of supervisory agencies can be strengthened further by reducing the involvement of the Ministry of Finance in prudential issues and ensuring that each agency has full control over decisions that lie within its areas of responsibility.
