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37 Results

Assessing the Predictive Ability of Sovereign Default Risk on Exchange Rate Returns

Staff Working Paper 2017-19 Claudia Foroni, Francesco Ravazzolo, Barbara Sadaba
Increased sovereign credit risk is often associated with sharp currency movements. Therefore, expectations of the probability of a sovereign default event can convey important information regarding future movements of exchange rates.
May 11, 2017

Why Is Global Business Investment So Weak? Some Insights from Advanced Economies

Various drivers of business investment can be used to explain the underwhelming performance of investment in advanced economies since the global financial crisis, particularly since 2014. The slow growth in aggregate demand cannot by itself explain the full extent of the recent weakness in investment, which appears to be linked primarily to the collapse of global commodity prices and a rise in economic uncertainty. Looking ahead, business investment growth is likely to remain slower than in the pre-crisis period, largely because of structural factors such as population aging.

Markov‐Switching Three‐Pass Regression Filter

We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes.
Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C2, C22, C23, C5, C53

Heterogeneity in the Dynamic Effects of Uncertainty on Investment

Staff Working Paper 2015-34 Sungje Byun, Soojin Jo
How does aggregate profit uncertainty influence investment activity at the firm level? We propose a parsimonious adaptation of a factor-autoregressive conditional heteroscedasticity model to exploit information in a subindustry sales panel for an efficient and tractable estimation of aggregate volatility.

The Propagation of Industrial Business Cycles

Staff Working Paper 2014-48 Maximo Camacho, Danilo Leiva-Leon
This paper examines the business cycle linkages that propagate industry-specific business cycle shocks throughout the economy in a way that (sometimes) generates aggregated cycles. The transmission of sectoral business cycles is modelled through a multivariate Markov-switching model, which is estimated by Gibbs sampling.

Which Parametric Model for Conditional Skewness?

Staff Working Paper 2013-32 Bruno Feunou, Mohammad R. Jahan-Parvar, Roméo Tedongap
This paper addresses an existing gap in the developing literature on conditional skewness. We develop a simple procedure to evaluate parametric conditional skewness models. This procedure is based on regressing the realized skewness measures on model-implied conditional skewness values.
Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C2, C22, C5, C51, G, G1, G12, G15

Money Market Rates and Retail Interest Regulation in China: The Disconnect between Interbank and Retail Credit Conditions

Staff Working Paper 2013-20 Nathan Porter, TengTeng Xu
Interest rates in China are composed of a mix of both market-determined interest rates (interbank rates and bond yields), and regulated interest rates (retail lending and deposit rates), reflecting China’s gradual process of interest rate liberalization.

International Capital Flows and Bond Risk Premia

Staff Working Paper 2010-14 Jesus Sierra
This paper studies the impact of international capital flows on asset prices through risk premia. We investigate whether foreign purchases of U.S. Treasury securities significantly contributed to the decline in excess returns on long-term bonds between 1995 and 2008.
Content Type(s): Staff research, Staff working papers Topic(s): Financial markets JEL Code(s): C, C2, C22, F, F3, F31, F32, F34, G, G1, G11, G12, G15

Real Time Detection of Structural Breaks in GARCH Models

Staff Working Paper 2009-31 Zhongfang He, John M. Maheu
A sequential Monte Carlo method for estimating GARCH models subject to an unknown number of structural breaks is proposed. Particle filtering techniques allow for fast and efficient updates of posterior quantities and forecasts in real time.
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