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Failures in the crypto space—including the fall of Terra USD and the FTX debacle—have sparked calls for strengthening countries’ policy frameworks for crypto assets, including by enhanced regulation and supervision. How have these heightened concerns about crypto assets been picked up in systemic risk assessment, and what can be done going forward? In this paper, we introduce a conceptual macrofinancial framework to understand and track systemic risks stemming from crypto assets. Specifically, we propose a country-level Crypto-Risk Assessment Matrix (C-RAM) to summarize the main vulnerabilities, useful indicators, potential triggers and potential policy responses related to the crypto sector. We also discuss how experts and officials can weave in specific vulnerabilities stemming from crypto asset activity into their assessment of systemic risk, and how they can provide policy advice and take action to help contain systemic risks when needed.

Canada

International Monetary Fund. Monetary and Capital Markets Department

Published: 2019-06-24

Total Pages: 85


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This Financial System Stability Assessment paper discusses that Canada has enjoyed favorable macroeconomic outcomes over the past decades, and its vibrant financial system continues to grow robustly. However, macrofinancial vulnerabilities—notably, elevated household debt and housing market imbalances—remain substantial, posing financial stability concerns. Various parts of the financial system are directly exposed to the housing market and/or linked through housing finance. The financial system would be able to manage severe macrofinancial shocks. Major deposit-taking institutions would remain resilient, but mortgage insurers would need additional capital in a severe adverse scenario. Housing finance is broadly resilient, notwithstanding some weaknesses in the small non-prime mortgage lending segment. Although banks’ overall capital buffers are adequate, additional required capital for mortgage exposures, along with measures to increase risk-based differentiation in mortgage pricing, would be desirable. This would help ensure adequate through-the cycle buffers, improve mortgage risk-pricing, and limit procyclical effects induced by housing market corrections.
New technologies are driving transformational changes in the global financial system. Virtual currencies (VCs) and the underlying distributed ledger systems are among these. VCs offer many potential benefits, but also considerable risks. VCs could raise efficiency and in the long run strengthen financial inclusion. At the same time, VCs could be potential vehicles for money laundering, terrorist financing, tax evasion and fraud. While risks to the conduct of monetary policy seem less likely to arise at this stage given the very small scale of VCs, risks to financial stability may eventually emerge as the new technologies become more widely used. National authorities have begun to address these challenges and will need to calibrate regulation in a manner that appropriately addresses the risks without stifling innovation. As experience is gained, international standards and best practices could be considered to provide guidance on the most appropriate regulatory responses in different fields, thereby promoting harmonization and cooperation across jurisdictions.
We analyze returns and volatility spillovers among a representative set of crypto and financial assets. The magnitude of spillovers increases during periods of heightened turbulence due to negative economic-financial news, crypto market events, or exogenous shocks. There is evidence of increasing spillovers over time, with a peak during the COVID-19 pandemic, implying growing interdependence. Crypto assets predominantly transmit spillovers to financial markets, though reversals occur during periods of financial stress. The increased correlation during risk-off episodes suggests that crypto assets could serve as important conduits for financial market shocks, generating financial stability risks.
To explore risks associated with digital money, this Fintech Note simulates the hypothetical large-scale adoption of crypto assets in a model of a small open economy. The model highlights that a foreign-currency denominated stablecoin can amplify currency substitution and capital outflows in response to negative shocks. Monetary policy transmission is also weakened, forcing the central bank to adjust interest rates more aggressively in response to shocks. Capital flow management measures—if they do not constrain crypto flows—further incentivize households to hold foreign stablecoins for circumvention purposes, exacerbating the negative effects of crypto adoption on the macroeconomy. This underscores that widespread crypto adoption can weaken policymakers’ available options for mitigating external shocks and potentially increase cross-country spillovers.
Alternative assets such as fine art, wine, or diamonds have become popular investment vehicles in the aftermath of the global financial crisis. Correlation with classical financial markets is typically low, such that diversification benefits arise for portfolio allocation and risk management. Cryptocurrencies share many alternative asset features, but are hampered by high volatility, sluggish commercial acceptance, and regulatory uncertainties. This collection of papers addresses alternative assets and cryptocurrencies from economic, financial, statistical, and technical points of view. It gives an overview of their current state and explores their properties and prospects using innovative approaches and methodologies.
The first part of the book examines the evolution of monetary policy and prudential frameworks of the ASEAN5, with particular focus on changes since the Asian financial crisis and the more recent period of unconventional monetary policy in advanced economies. The second part of the book looks at policy responses to global financial spillovers. The third and last part of the book elaborates on the challenges ahead for monetary policy, financial stability frameworks, and the deepening of financial markets.
The audited consolidated financial statements of the International Monetary Fund as of April 30, 2019 and 2018
This departmental paper discusses the evolving prudential frameworks for nonbank issuers of electronic money. Some jurisdictions take a relatively light-touch approach to regulating electronic money issuers (EMIs). Others have sought to apply more stringent requirements to protect electronic money (e-money) users, as the sector has grown in importance. The paper aims to build on previous IMF staff contributions to the literature and to draw policy conclusions for strengthening e-money regulatory regimes; in particular in jurisdictions where issuers, individually or collectively, have grown to a size to which they are of macro-financial importance (see below). Chapter 2 provides background on the development of e-money, its economic benefits, and potential risks. Chapter 3 discusses prudential supervision of EMIs, followed in Chapter 4 by their oversight from a payments system perspective. Chapter 5 discusses potential additional measures for user protection and contingency arrangements for EMI failure. The last chapter presents policy recommendations for policymakers, especially in those emerging market economies and developing countries wherein EMIs have reached a scale at which they could have a significant economic impact if they were to fail.
Connections among different assets, asset classes, portfolios, and the stocks of individual institutions are critical in examining financial markets. Interest in financial markets implies interest in underlying macroeconomic fundamentals. In Financial and Macroeconomic Connectedness, Frank Diebold and Kamil Yilmaz propose a simple framework for defining, measuring, and monitoring connectedness, which is central to finance and macroeconomics. These measures of connectedness are theoretically rigorous yet empirically relevant. The approach to connectedness proposed by the authors is intimately related to the familiar econometric notion of variance decomposition. The full set of variance decompositions from vector auto-regressions produces the core of the 'connectedness table.' The connectedness table makes clear how one can begin with the most disaggregated pair-wise directional connectedness measures and aggregate them in various ways to obtain total connectedness measures. The authors also show that variance decompositions define weighted, directed networks, so that these proposed connectedness measures are intimately related to key measures of connectedness used in the network literature. After describing their methods in the first part of the book, the authors proceed to characterize daily return and volatility connectedness across major asset (stock, bond, foreign exchange and commodity) markets as well as the financial institutions within the U.S. and across countries since late 1990s. These specific measures of volatility connectedness show that stock markets played a critical role in spreading the volatility shocks from the U.S. to other countries. Furthermore, while the return connectedness across stock markets increased gradually over time the volatility connectedness measures were subject to significant jumps during major crisis events. This book examines not only financial connectedness, but also real fundamental connectedness. In particular, the authors show that global business cycle connectedness is economically significant and time-varying, that the U.S. has disproportionately high connectedness to others, and that pairwise country connectedness is inversely related to bilateral trade surpluses.