This paper estimates a bivariate HEAVY system including daily and intra-daily volatility equations and its macro-augmented asymmetric power extension. It focuses on economic factors that exacerbate stock market volatility and represent major threats to financial stability. In particular, it...

This paper estimates a bivariate HEAVY system including daily and intra-daily volatility equations and its macro-augmented asymmetric power extension. It focuses on economic factors that exacerbate stock market volatility and represent major threats to financial stability. In particular, it...

In recent years, advances in the field of unit root tests helped topartially solve the first purchasing power parity puzzle. Non-linearmean-reversion tests with real exchange rates were able to reject thenull of a unit root (indicating mean reversion) in significantly morecases than the standard...

The authors analyze cyclical co-movement in credit, house prices, equity prices, and long-term interest rates across 17 advanced economies. Using a time-varying multi-level dynamic factor model and more than 130 years of data, they analyze the dynamics of co-movement and compare recent...

This study explores the dynamic linkage of exogenous oil shock and economic activity in Nigeria in Nigeria via a sign- identified Structural Vector Autoregression (SVAR). Specifically, the study utilizes quarterly time series data where the information set uses real gross domestic product,...

We examine a trivariate time series model that is subject to a regime switch, where the shifts are governed by an unobserved, two-state variable that follows a Markov process. The analysis is performed in a Bayesian framework developed by Albert and Chib (1993), where the unobserved states are...

Using text from 200 million pages of 13,000 US local newspapers and machine learning methods, we construct a 170-year-long measure of economic sentiment at the country and state levels, that expands existing measures in both the time series (by more than a century) and the cross-section. Our...

I propose a theory of information production and learning in credit markets in which the incentives to engage in activities that reveal information about aggregate fundamentals vary over the business cycle and may account for both the excessive optimism that fueled booms preceding financial...

This paper studies the relative importance of discount rates and cash flows with a focus on the differences between time-series and cross-sectional variance tests. I show that the following holds for the market, different types of portfolios, and individual stocks: (a) changes in expected...

In this paper the authors set out to date-stamp periods of US housing price explosivity for the period 1830–2013. They make use of several robust techniques that allow them to identify such periods by determining when prices start to exhibit explosivity with respect to its past behaviour and...