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We augment a linearized dynamic stochastic general equilibrium (DSGE) model with a tractable endogenous risk mechanism, to support the joint analysis of monetary and macroprudential policy. This state dependent conditional heteroskedasticity mechanism specifies the conditional variances of structural shocks as functions of the business or financial cycle. The resultant heteroskedastic linearized DSGE model preserves the satisfactory simulation and forecasting performance of its nested homoskedastic counterpart for the conditional means of endogenous variables, while substantially improving its goodness of fit to their conditional distributions. In particular, the model matches the key stylized facts of growth at risk. Accounting for state dependent conditional heteroskedasticity makes it optimal for monetary policy to respond more aggressively to the business cycle, and for macroprudential policy to manage the resilience of the banking sector more actively over the financial cycle.
Banks and Banking --- Macroeconomics --- Industries: Financial Services --- Real Estate --- Banks --- Depository Institutions --- Micro Finance Institutions --- Mortgages --- Macroeconomics: Production --- Financial Markets and the Macroeconomy --- Interest Rates: Determination, Term Structure, and Effects --- Housing Supply and Markets --- Finance --- Banking --- Property & real estate --- Production growth --- Macroprudential policy --- Short term interest rates --- Financial institutions --- Production --- Financial sector policy and analysis --- Financial services --- Housing prices --- Prices --- Economic theory --- Economic policy --- Interest rates --- Banks and banking --- Housing --- United States
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The USD asset share of non-U.S. banks captures the demand for dollars by these investors. An instrumental variable strategy identifies a causal link from the USD asset share to the USD exchange rate. Cross-sectional asset pricing tests show that the USD asset share is a highly significant pricing factor for carry trade strategies. The USD asset share forecasts the dollar with economically large magnitude, high statistical significance, and large explanatory power, both in sample and out of sample, pointing towards time varying risk premia. It takes 2-5 years for exchange rate risk premia to normalize in response to demand shocks.
Banks and Banking --- Econometrics --- Foreign Exchange --- Money and Monetary Policy --- Accounting --- Monetary Systems --- Standards --- Regimes --- Government and the Monetary System --- Payment Systems --- Banks --- Depository Institutions --- Micro Finance Institutions --- Mortgages --- Estimation --- Public Administration --- Public Sector Accounting and Audits --- Currency --- Foreign exchange --- Monetary economics --- Banking --- Econometrics & economic statistics --- Financial reporting, financial statements --- Exchange rates --- Currencies --- Exchange rate adjustments --- Estimation techniques --- Money --- Econometric analysis --- Financial statements --- Public financial management (PFM) --- Banks and banking --- Econometric models --- Finance, Public --- United States
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We augment a linearized dynamic stochastic general equilibrium (DSGE) model with a tractable endogenous risk mechanism, to support the joint analysis of monetary and macroprudential policy. This state dependent conditional heteroskedasticity mechanism specifies the conditional variances of structural shocks as functions of the business or financial cycle. The resultant heteroskedastic linearized DSGE model preserves the satisfactory simulation and forecasting performance of its nested homoskedastic counterpart for the conditional means of endogenous variables, while substantially improving its goodness of fit to their conditional distributions. In particular, the model matches the key stylized facts of growth at risk. Accounting for state dependent conditional heteroskedasticity makes it optimal for monetary policy to respond more aggressively to the business cycle, and for macroprudential policy to manage the resilience of the banking sector more actively over the financial cycle.
United States --- Banks and Banking --- Macroeconomics --- Industries: Financial Services --- Real Estate --- Banks --- Depository Institutions --- Micro Finance Institutions --- Mortgages --- Macroeconomics: Production --- Financial Markets and the Macroeconomy --- Interest Rates: Determination, Term Structure, and Effects --- Housing Supply and Markets --- Finance --- Banking --- Property & real estate --- Production growth --- Macroprudential policy --- Short term interest rates --- Financial institutions --- Production --- Financial sector policy and analysis --- Financial services --- Housing prices --- Prices --- Economic theory --- Economic policy --- Interest rates --- Banks and banking --- Housing
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The USD asset share of non-U.S. banks captures the demand for dollars by these investors. An instrumental variable strategy identifies a causal link from the USD asset share to the USD exchange rate. Cross-sectional asset pricing tests show that the USD asset share is a highly significant pricing factor for carry trade strategies. The USD asset share forecasts the dollar with economically large magnitude, high statistical significance, and large explanatory power, both in sample and out of sample, pointing towards time varying risk premia. It takes 2-5 years for exchange rate risk premia to normalize in response to demand shocks.
United States --- Banks and Banking --- Econometrics --- Foreign Exchange --- Money and Monetary Policy --- Accounting --- Monetary Systems --- Standards --- Regimes --- Government and the Monetary System --- Payment Systems --- Banks --- Depository Institutions --- Micro Finance Institutions --- Mortgages --- Estimation --- Public Administration --- Public Sector Accounting and Audits --- Currency --- Foreign exchange --- Monetary economics --- Banking --- Econometrics & economic statistics --- Financial reporting, financial statements --- Exchange rates --- Currencies --- Exchange rate adjustments --- Estimation techniques --- Money --- Econometric analysis --- Financial statements --- Public financial management (PFM) --- Banks and banking --- Econometric models --- Finance, Public
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The evolution of risk management has resulted from the interplay of financial crises, risk management practices, and regulatory actions. In the 1970s, research lay the intellectual foundations for the risk management practices that were systematically implemented in the 1980s as bond trading revolutionized Wall Street. Quants developed dynamic hedging, Value-at-Risk, and credit risk models based on the insights of financial economics. In parallel, the Basel I framework created a level playing field among banks across countries. Following the 1987 stock market crash, the near failure of Salomon Brothers, and the failure of Drexel Burnham Lambert, in 1996 the Basel Committee on Banking Supervision published the Market Risk Amendment to the Basel I Capital Accord; the amendment went into effect in 1998. It led to a migration of bank risk management practices toward market risk regulations. The framework was further developed in the Basel II Accord, which, however, from the very beginning, was labeled as being procyclical due to the reliance of capital requirements on contemporaneous volatility estimates. Indeed, the failure to measure and manage risk adequately can be viewed as a key contributor to the 2008 global financial crisis. Subsequent innovations in risk management practices have been dominated by regulatory innovations, including capital and liquidity stress testing, macroprudential surcharges, resolution regimes, and countercyclical capital requirements.
Banks and banking --- Bank capital --- Global Financial Crisis, 2008-2009. --- Risk management. --- State supervision. --- Government policy. --- Global Financial Crisis (2008-2009) --- 2008-2009 --- Global Economic Crisis, 2008-2009 --- Subprime Mortgage Crisis, 2008-2009 --- Financial crises --- Capital --- Agricultural banks --- Banking --- Banking industry --- Commercial banks --- Depository institutions --- Finance --- Financial institutions --- Money --- Banks and Banking --- Banks --- Capital and Ownership Structure --- Cdos --- Credit risk --- Depository Institutions --- Derivative securities --- Financial Instruments --- Financial instruments --- Financial regulation and supervision --- Financial Risk and Risk Management --- Financial risk management --- Financial services law & regulation --- Financing Policy --- General Financial Markets: General (includes Measurement and Data) --- Goodwill --- Industries: Financial Services --- Institutional Investors --- Investment & securities --- Investments: Derivatives --- Investments: General --- Loans --- Market risk --- Micro Finance Institutions --- Mortgages --- Non-bank Financial Institutions --- Pension Funds --- Securities --- Value of Firms --- United States
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We propose a measure for systemic risk: CoVaR, the value at risk (VaR) of the financial system conditional on institutions being under distress. We define an institution's contribution to systemic risk as the difference between CoVaR conditional on the institution being under distress and the CoVaR in the median state of the institution. From our estimates of CoVaR for the universe of publicly traded financial institutions, we quantify the extent to which characteristics such as leverage, size, and maturity mismatch predict systemic risk contribution. We also provide out of sample forecasts of a countercyclical, forward looking measure of systemic risk and show that the 2006Q4 value of this measure would have predicted more than half of realized covariances during the financial crisis.
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This Note explores the design and governance of platforms to enhance cross-border payments in line with public policy goals. While much innovation in recent years has more narrowly targeted end-user frictions, the vision in this paper is based on the mandate of the IMF, governed by the central banks and finance ministries of 190 member countries. Cross-border payments present the foundation for the global financial system, and its functioning is overseen by the IMF.
Economics: General --- Macroeconomics --- Banks and Banking --- Industries: Financial Services --- Information Management --- Foreign Exchange --- Criminology --- Transactional Relationships --- Contracts and Reputation --- Networks --- Monetary Systems --- Standards --- Regimes --- Government and the Monetary System --- Payment Systems --- Monetary Policy --- IT Management --- Illegal Behavior and the Enforcement of Law --- Economics of specific sectors --- Economic & financial crises & disasters --- Banking --- Distributed ledgers --- Knowledge management --- Currency --- Foreign exchange --- Corporate crime --- white-collar crime --- Economic sectors --- Financial crises --- International reserves --- Central banks --- Central Bank digital currencies --- Technology --- Information and data management --- Anti-money laundering and combating the financing of terrorism (AML/CFT) --- Crime --- Informal sector --- Economics --- Currency crises --- Foreign exchange reserves --- Financial services industry --- Technological innovations --- Information resources management --- Money laundering --- It Management --- White-collar crime
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This Note explores the design and governance of platforms to enhance cross-border payments in line with public policy goals. While much innovation in recent years has more narrowly targeted end-user frictions, the vision in this paper is based on the mandate of the IMF, governed by the central banks and finance ministries of 190 member countries. Cross-border payments present the foundation for the global financial system, and its functioning is overseen by the IMF.