Risky Oil: It's All in the Tails
Christiane Baumeister, Florian Huber, Massimiliano Marcellino
NBER Working Paper,
No. 32524,
2024
Abstract
The substantial fluctuations in oil prices in the wake of the COVID-19 pandemic and the Russian invasion of Ukraine have highlighted the importance of tail events in the global market for crude oil which call for careful risk assessment. In this paper we focus on forecasting tail risks in the oil market by setting up a general empirical framework that allows for flexible predictive distributions of oil prices that can depart from normality. This model, based on Bayesian additive regression trees, remains agnostic on the functional form of the conditional mean relations and assumes that the shocks are driven by a stochastic volatility model. We show that our nonparametric approach improves in terms of tail forecasts upon three competing models: quantile regressions commonly used for studying tail events, the Bayesian VAR with stochastic volatility, and the simple random walk. We illustrate the practical relevance of our new approach by tracking the evolution of predictive densities during three recent economic and geopolitical crisis episodes, by developing consumer and producer distress indices that signal the build-up of upside and downside price risk, and by conducting a risk scenario analysis for 2024.
Read article
Is Risk the Fuel of the Business Cycle? Financial Frictions and Oil Market Disturbances
Christoph Schult
IWH Discussion Papers,
No. 4,
2024
Abstract
I estimate a dynamic stochastic general equilibrium (DSGE) model for the United States that incorporates oil market shocks and risk shocks working through credit market frictions. The findings of this analysis indicate that risk shocks play a crucial role during the Great Recession and the Dot-Com bubble but not during other economic downturns. Credit market frictions do not amplify persistent oil market shocks. This result holds as long as entry and exit rates of entrepreneurs are independent of the business cycle.
Read article
DPE Course Programme Archive
DPE Course Programme Archive 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2024 Presenting and Writing about your Research Tim Korver October 14-15, 2024 (IWH)…
See page
Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
See page
DPE Course Programme Archive
DPE Course Programme Archive 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2023 Microeconomics several lecturers winter term 2023/2024 (IWH) Econometrics several…
See page
Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
See page
Benchmarking New Zealand's Frontier Firms
Guanyu Zheng, Hoang Minh Duy, Gail Pacheco
IWH-CompNet Discussion Papers,
No. 1,
2021
Abstract
New Zealand has experienced poor productivity performance over the last two decades. Factors often cited as reasons behind this are the small size of the domestic market and distance to international partners and markets. While the distance reason is one that is fairly insurmountable, there are a number of other small advanced economies that also face similar domestic market constraints. This study compares the relative performance of New Zealand’s firms to those economies using novel cross-country microdata from CompNet. We present stylised facts for New Zealand relative to the economies of Belgium, Denmark, Finland, Netherlands and Sweden based on average productivity levels, as well as benchmarking laggard, median and frontier firms. This research also employs an analytical framework of technology diffusion to evaluate the extent of productivity convergence, and the impact of the productivity frontier on non-frontier firm performance. Additionally, both labour and capital resource allocation are compared between New Zealand and the other small advanced economies. Results show that New Zealand’s firms have comparatively low productivity levels and that its frontier firms are not benefiting from the diffusion of best technologies outside the nation. Furthermore, there is evidence of labour misallocation in New Zealand based on less labour-productive firms having disproportionally larger employment shares than their more productive counterparts. Counter-factual analysis illustrates that improving both technology diffusion from abroad toward New Zealand’s frontier firms, and labour allocation across firms within New Zealand will see sizable productivity gains in New Zealand.
Read article
Ten Facts on Declining Business Dynamism and Lessons from Endogenous Growth Theory
Ufuk Akcigit, Sina T. Ates
American Economic Journal: Macroeconomics,
No. 1,
2021
Abstract
In this paper, we review the literature on declining business dynamism and its implications in the United States and propose a unifying theory to analyze the symptoms and the potential causes of this decline. We first highlight 10 pronounced stylized facts related to declining business dynamism documented in the literature and discuss some of the existing attempts to explain them. We then describe a theoretical framework of endogenous markups, innovation, and competition that can potentially speak to all of these facts jointly. We next explore some theoretical predictions of this framework, which are shaped by two interacting forces: a composition effect that determines the market concentration and an incentive effect that determines how firms respond to a given concentration in the economy. The results highlight that a decline in knowledge diffusion between frontier and laggard firms could be a significant driver of empirical trends observed in the data. This study emphasizes the potential of growth theory for the analysis of factors behind declining business dynamism and the need for further investigation in this direction.
Read article
European Bank Efficiency and Performance: The Effects of Supranational Versus National Bank Supervision
Rients Galema, Michael Koetter
T. Beck, B. Casu (eds): The Palgrave Handbook of European Banking, London,
2016
Abstract
This chapter explores European bank efficiency and performance. First, the authors provide an overview of the key estimation methods for efficiency and discuss selected applications to the European banking sector. Second, they apply stochastic frontier analysis to investigate the extent to which the reallocation of supervisory powers is associated with efficiency differences between European banks. In doing so, the discussion focuses particularly on whether direct supervision by the Single Supervisory Mechanism (SSM) as opposed to national competent authority (NCA) is related to cost and profit efficiency.
Read article
Impulse Response Analysis in a Misspecified DSGE Model: A Comparison of Full and Limited Information Techniques
Sebastian Giesen, Rolf Scheufele
Applied Economics Letters,
No. 3,
2016
Abstract
In this article, we examine the effect of estimation biases – introduced by model misspecification – on the impulse responses analysis for dynamic stochastic general equilibrium (DSGE) models. Thereby, we use full and limited information estimators to estimate a misspecified DSGE model and calculate impulse response functions (IRFs) based on the estimated structural parameters. It turns out that IRFs based on full information techniques can be unreliable under misspecification.
Read article
