C1 - Econometric and Statistical Methods and Methodology: General
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Unconventional Monetary Policy and the Great Recession: Estimating the Macroeconomic Effects of a Spread Compression at the Zero Lower Bound
We explore the macroeconomic effects of a compression in the long-term bond yield spread within the context of the Great Recession of 2007-2009 via a time-varying parameter structural VAR model. -
A Framework to Assess Vulnerabilities Arising from Household Indebtedness Using Microdata
Rising levels of household indebtedness have created concerns about the vulnerabilities of households to adverse economic shocks and the impact on financial stability. To assess these risks, the author presents a formal stress-testing framework that uses microdata to simulate how various economic shocks affect the distribution of the debt-service ratio (DSR) for the household sector. -
What Matters in Determining Capital Surcharges for Systemically Important Financial Institutions?
One way of internalizing the externalities that each individual bank imposes on the rest of the financial system is to impose capital surcharges on them in line with their systemic importance. -
A Stochastic Volatility Model with Conditional Skewness
We develop a discrete-time affine stochastic volatility model with time-varying conditional skewness (SVS). Importantly, we disentangle the dynamics of conditional volatility and conditional skewness in a coherent way. -
Measuring Systemic Importance of Financial Institutions: An Extreme Value Theory Approach
In this paper, we define a financial institution’s contribution to financial systemic risk as the increase in financial systemic risk conditional on the crash of the financial institution. The higher the contribution is, the more systemically important is the institution for the system. -
Testing Linear Factor Pricing Models with Large Cross-Sections: A Distribution-Free Approach
We develop a finite-sample procedure to test the beta-pricing representation of linear factor pricing models that is applicable even if the number of test assets is greater than the length of the time series. Our distribution-free framework leaves open the possibility of unknown forms of non-normalities, heteroskedasticity, time-varying correlations, and even outliers in the asset returns. -
Semi-Structural Models for Inflation Forecasting
We propose alternative single-equation semi-structural models for forecasting inflation in Canada, whereby structural New Keynesian models are combined with time-series features in the data. Several marginal cost measures are used, including one that in addition to unit labour cost also integrates relative price shocks known to play an important role in open-economies. -
On Fiscal Multipliers: Estimates from a Medium Scale DSGE Model
This paper contributes to the debate on fiscal multipliers, in the context of a structural model. I estimate a micro-founded dynamic stochastic general equilibrium model, that features a rich fiscal policy block and a transmission mechanism for government spending shocks, using Bayesian techniques for US data. -
Understanding Systemic Risk: The Trade-Offs between Capital, Short-Term Funding and Liquid Asset Holdings
We offer a multi-period systemic risk assessment framework with which to assess recent liquidity and capital regulatory requirement proposals in a holistic way.