C - Mathematical and Quantitative Methods

• Measuring Systemic Importance of Financial Institutions: An Extreme Value Theory Approach

  Staff Working Paper 2011-19 Toni Gravelle, Fuchun Li

  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.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial institutions, Financial stability, Financial system regulation and policies JEL Code(s): C, C1, C14, C5, C58, G, G2, G21, G3, G32

• The Impact of Operational Events on the Network Structure of the LVTS

  Staff Discussion Paper 2011-7 Tom Roberts

  The author uses a quantitative network analysis approach to assess how participants in the Large Value Transfer System (LVTS) respond to partial outages at other banks.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Payment clearing and settlement systems JEL Code(s): C, C4, C49, G, G1, G14, G2, G21

• Real-Time Forecasts of the Real Price of Oil

  Staff Working Paper 2011-16 Christiane Baumeister, Lutz Kilian

  We construct a monthly real-time data set consisting of vintages for 1991.1-2010.12 that is suitable for generating forecasts of the real price of oil from a variety of models.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, E, E3, E32, Q, Q4, Q43

• Forecasting the Price of Oil

  Staff Working Paper 2011-15 Ron Alquist, Lutz Kilian, Robert Vigfusson

  We address some of the key questions that arise in forecasting the price of crude oil. What do applied forecasters need to know about the choice of sample period and about the tradeoffs between alternative oil price series and model specifications?

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, Q, Q4, Q43, Q47

• Real-Financial Linkages in the Canadian Economy: An Input-Output Approach

  Staff Working Paper 2011-14 Danny Leung, Oana Secrieru

  The purpose of this paper is twofold. First, we provide a detailed social accounting matrix (SAM), which incorporates the income and financial flows into the standard input-output matrix, for the Canadian economy for 2004.

  Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Financial markets, Sectoral balance sheet JEL Code(s): C, C6, C67, D, D5, D57

• The Canadian Debt-Strategy Model: An Overview of the Principal Elements

  Staff Discussion Paper 2011-3 David Bolder, Simon Deeley

  The Canadian Debt Strategy Model helps debt managers determine their optimal financing strategy. The model’s code and documentation are available to the public.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Debt management, Econometric and statistical methods, Financial markets, Fiscal policy JEL Code(s): C, C0, G, G1, G11, G17, H, H6, H63

• Mixed Frequency Forecasts for Chinese GDP

  Staff Working Paper 2011-11 Philipp Maier

  We evaluate different approaches for using monthly indicators to predict Chinese GDP for the current and the next quarter (‘nowcasts’ and ‘forecasts’, respectively). We use three types of mixed-frequency models, one based on an economic activity indicator (Liu et al., 2007), one based on averaging over indicator models (Stock and Watson, 2004), and a static factor model (Stock and Watson, 2002).

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C50, C53, E, E3, E37, E4, E47

• The Impact of the Global Business Cycle on Small Open Economies: A FAVAR Approach for Canada

  Staff Working Paper 2011-2 Garima Vasishtha, Philipp Maier

  Building on the growing evidence on the importance of large data sets for empirical macroeconomic modeling, we use a factor-augmented VAR (FAVAR) model with more than 260 series for 20 OECD countries to analyze how global developments affect the Canadian economy.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods, International topics JEL Code(s): C, C3, C32, F, F4, F41

• 'Lean' versus 'Rich' Data Sets: Forecasting during the Great Moderation and the Great Recession

  Staff Working Paper 2010-37 Marco J. Lombardi, Philipp Maier

  We evaluate forecasts for the euro area in data-rich and ‘data-lean' environments by comparing three different approaches: a simple PMI model based on Purchasing Managers' Indices (PMIs), a dynamic factor model with euro area data, and a dynamic factor model with data from the euro plus data from national economies (pseudo-real time data).

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C50, C53, E, E3, E37, E4, E47

• Testing Linear Factor Pricing Models with Large Cross-Sections: A Distribution-Free Approach

  Staff Working Paper 2010-36 Sermin Gungor, Richard Luger

  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.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C12, C14, C3, C33, G, G1, G11, G12