The paper starts by presenting evidence of commonality in global financial conditions. This commonality is then related to specific drivers of global financial conditions through a range of transmission channels, including cross-border banking and portfolio flows. Empirical analysis shows a range of price and quantity factors, including measures of risk, bank leverage, and interest rates in financial centers, to drive in part these flows. Country specific policies, including exchange rate and prudential frameworks, are shown to affect the transmission of global conditions. Much remains unknown though, including how evolving structures of global funding, changing institutions, and ongoing financial innovations affect the mechanics of liquidity creation, the channels of liquidity transmission, and potential risks going forward.
Effective cross-border financial surveillance requires the monitoring of direct and indirect systemic linkages. This paper illustrates how network analysis could make a significant contribution in this regard by simulating different credit and funding shocks to the banking systems of a number of selected countries. After that, we show that the inclusion of risk transfers could modify the risk profile of entire financial systems, and thus an enriched simulation algorithm able to account for risk transfers is proposed. Finally, we discuss how some of the limitations of our simulations are a reflection of existing information and data gaps, and thus view these shortcomings as a call to improve the collection and analysis of data on cross-border financial exposures.
This paper analyzes the transmission of global liquidity to the ASEAN-5 countries (ASEAN-5), including the impact on financial landscapes and risks to financial stability. It finds that global liquidity transmission and changing financial landscapes have contributed to increases in risks to financial stability in ASEAN-5. Therefore, policymakers in ASEAN-5 should prepare for possible liquidity tightening, strengthen regulation of nonbanks, and establish a comprehensive financial stability framework. A number of couontries are well-advanced in this process.
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 October 2019 Global Financial Stability Report (GFSR) identifies the current key vulnerabilities in the global financial system as the rise in corporate debt burdens, increasing holdings of riskier and more illiquid assets by institutional investors, and growing reliance on external borrowing by emerging and frontier market economies. The report proposes that policymakers mitigate these risks through stricter supervisory and macroprudential oversight of firms, strengthened oversight and disclosure for institutional investors, and the implementation of prudent sovereign debt management practices and frameworks for emerging and frontier market economies.
Extraordinary policy measures have eased financial conditions and supported the economy, helping to contain financial stability risks. Chapter 1 warns that there is a pressing need to act to avoid a legacy of vulnerabilities while avoiding a broad tightening of financial conditions. Actions taken during the pandemic may have unintended consequences such as stretched valuations and rising financial vulnerabilities. The recovery is also expected to be asynchronous and divergent between advanced and emerging market economies. Given large external financing needs, several emerging markets face challenges, especially if a persistent rise in US rates brings about a repricing of risk and tighter financial conditions. The corporate sector in many countries is emerging from the pandemic overindebted, with notable differences depending on firm size and sector. Concerns about the credit quality of hard-hit borrowers and profitability are likely to weigh on the risk appetite of banks. Chapter 2 studies leverage in the nonfinancial private sector before and during the COVID-19 crisis, pointing out that policymakers face a trade-off between boosting growth in the short term by facilitating an easing of financial conditions and containing future downside risks. This trade-off may be amplified by the existing high and rapidly building leverage, increasing downside risks to future growth. The appropriate timing for deployment of macroprudential tools should be country-specific, depending on the pace of recovery, vulnerabilities, and policy tools available. Chapter 3 turns to the impact of the COVID-19 crisis on the commercial real estate sector. While there is little evidence of large price misalignments at the onset of the pandemic, signs of overvaluation have now emerged in some economies. Misalignments in commercial real estate prices, especially if they interact with other vulnerabilities, increase downside risks to future growth due to the possibility of sharp price corrections.
This paper provides a definition of global liquidity consistent with its meaning as the “ease of financing” in international financial markets. Using a longer time series and broader sample of countries than in previous studies, it identifies global factors driving cross-border bank flows, alongside country-specific factors. It confirms the explanatory power of US financial conditions, with flows decreasing in market volatility (VIX) and term premia, and increasing in bank leverage, growth in domestic credit and M2. A new finding is that similar variables for other systemic countries – the UK and the Euro Area – are also important, sometimes even more so, consistent with the dominant role of European banks in cross-border banking. Furthermore, recipient country characteristics are found to affect not only the level of country-specific flows, but also the cyclical impact of global liquidity, with sensitivities of flows to banks decreasing with stronger macroeconomic frameworks and better bank regulation, but less so for flows to non-financial firms.
Organizational applications and managerial implications of new technology resources require a forum for the discussion of issues of best business practice and success. The Handbook of Research on Global Enterprise Operations and Opportunities is a valuable source for the latest research on global resource management with a focus on the managerial and organizational facets. Featuring coverage on a range of topics and perspectives such as global enterprise systems, IT diffusion, and global data security, this publication is ideally designed for researchers, academics, and practitioners seeking current research on approaches to successful business technology use in all countries.
This note reviews some concepts of global liquidity and discusses measurement approaches that have been used by various interlocutors, including at the BIS, by Fund staff, and in academia. Some measures that could be regularly monitored by policy makers are presented
