In a recent paper Mercenier and Sekkat (1988) use a linear-quadratic model to examine the willingness of a monetary authority in a small open economy to target its exchange rate. Based on their empirical results, the authors conclude that the Bank of Canada has displayed a willingness to use the...

The paper analyzes a two-factor credit risk model allowing to capture default and recovery rate variation, their mutual correlation, and dependence on various explanatory variables. At the same time, it allows computing analytically the unexpected credit loss. We propose and empirically...

This paper proposes a new time-deformation model for stock returns sampled in transaction time and directed by a generalized duration process. Stochastic volatility in this model is driven by an observed duration process and a latent autoregressive process. Parameter estimation in the model is...

A conspicuous lacuna in the literature on Sub-Saharan Africa (SSA) is the lack of clarity on variables key for driving and predicting inclusive growth. To address this, I train the machine learning algorithms for the Standard lasso, the Minimum Schwarz Bayesian Information Criterion (Minimum...

Most solved dynamic structural macrofinance models are non-linear and/or non-Gaussian state-space models with high-dimensional and complex structures. We propose an annealed controlled sequential Monte Carlo method that delivers numerically stable and low variance estimators of the likelihood...

We consider the problem of estimating volatility based on high-frequency data when the observed price process is a continuous Itô semimartingale contaminated by microstructure noise. Assuming that the noise process is compatible across different sampling frequencies, we argue that it typically...

We generalize the stochastic revealed preference methodology of McFadden and Richter (1990) for finite choice sets to settings with limited consideration. Our approach is nonparametric and requires partial choice set variation. We only impose a monotonicity condition on attention first proposed...

Korean Abstract: 본 연구는 코로나19 충격이 금융산업의 주식들 간 연결 관계에 미치는 영향을 네트워크 관점에서 관찰한다. 코로나19 충격에 기인한 시장붕괴는 경제충격의 경우와 매우 유사한 시계열 특징을 보인다. 최소 신장...

In this study, we develop a framework, based on the Global Vector Autoregression Model (GVAR), to unite two differing perspectives on commodity markets, the single-market centered approach, investigating the micro- and macroeconomic drivers of commodity prices, as well as the inter-market...

This paper proposes a new model for high-dimensional distributions of asset returns that utilizes mixed frequency data and copulas. The dependence between returns is decomposed into linear and nonlinear components, enabling the use of high frequency data to accurately forecast linear dependence,...