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Working Paper
Improving grid-based methods for estimating value at risk of fixed-income portfolios
Jamshidian and Zhu (1997) propose a discrete grid method for simplifying the computation of Value at Risk (VaR) for fixed-income portfolios. Their method relies on two simplifications. First, the value of fixed income instruments is modeled as depending on a small number of risk factors chosen using principal components analysis. Second, they use a discrete approximation to the distribution of the portfolio's value. We show that their method has two serious shortcomings which imply it cannot accurately estimate VaR for some fixed-income portfolios. First, risk factors chosen using principal ...
Journal Article
Informational easing: improving credit conditions through the release of information
Economist Matthew Pritsker of the Board of Governors of the Federal Reserve System offers a theoretical view on how regulators can reduce uncertainty in the financial markets by improving the availability of information.
Conference Paper
The impacts of securitization on U.S. bank holding companies
Working Paper
The hidden dangers of historical simulation
Many large financial institutions compute the Value-at-Risk (VaR) of their trading portfolios using historical simulation based methods, but the methods' properties are not well understood. This paper theoretically and empirically examines the historical simulation method, a variant of historical simulation introduced by Boudoukh, Richardson and Whitelaw (1998) (BRW), and the Filtered Historical Simulation method (FHS) of Barone-Adesi, Giannopoulos, and Vosper (1999). The Historical Simulation and BRW methods are both under-responsive to changes in conditional risk; and respond to changes in ...
Working Paper
Reach for Yield by U.S. Public Pension Funds
This paper studies whether U.S. public pension funds reach for yield by taking more investment risk in a low interest rate environment. To study funds? risk-taking behavior, we first present a simple theoretical model relating risk-taking to the level of risk-free rates, to their underfunding, and to the fiscal condition of their state sponsors. The theory identifies two distinct channels through which interest rates and other factors may affect risk-taking: by altering plans? funding ratios, and by changing risk premia. The theory also shows the effect of state finances on funds? risk-taking ...
Working Paper
Nonparametric density estimation and tests of continuous time interest rate models
Nonparametric kernel density estimation has recently been used to estimate and test short-term interest rate models, but inference has been based on asymptotics. We derive finite sample properties of kernel density estimates of the ergodic distribution of the short-rate when it follows a continuous time AR(1) as in Vasicek. We find that the asymptotic distribution substantially understates finite sample bias, variance, and correlation. Also, estimator quality and bandwidth choice depend strongly on the persistence of the interest rate process and on the span of the data, but not on sampling ...
Working Paper
Knightian uncertainty and interbank lending
The bursting of the housing price bubble during 2007 and 2008 was accompanied by high interbank spreads, and a partial breakdown of interbank lending. This paper theoretically models how Knightian uncertainty over banks risk exposures may have contributed to the breakdown. The paper shows: 1) the two-tier structure of the U.S. Fed Funds market makes it robust to uncertainty, but the market may nevertheless collapse ? and private incentives to restart it may be insufficient. 2) In some circumstances government bank audits and information releases about exposures that resemble a stress test can ...
Working Paper
Choosing Stress Scenarios for Systemic Risk Through Dimension Reduction
Regulatory stress-testing is an important tool for ensuring banking system health in many countries around the world. Current methodologies ensure banks are well capitalized against the scenarios in the test, but it is unclear how resilient banks will be to other plausible scenarios. This paper proposes a new methodology for choosing scenarios that uses a measure of systemic risk with Correlation Pursuit variable selection, and Sliced Inverse Regression factor analysis, to select variables and create factors based on their ability to explain variation in the systemic risk measure. The main ...
Working Paper
A rational expectations model of financial contagion
We develop a multiple asset rational expectations model of asset prices to study the determinants of financial market contagion, and to provide an explanation for the pattern of contagion during the Asian financial crisis. Our findings show that the pattern and severity of financial contagion depends on the size of markets' sensitivities to common macroeconomic risk factors. The amount of information asymmetry within a financial market also increases its susceptibility to contagion. We focus on contagion through the cross-market hedging of macroeconomic risks. Through this channel, ...