Global Financial Risk Thresholds and Business Cycle Fluctuations: A Dynamic Heterogeneity Model Approach

2021 ◽  
pp. 1-26
Author(s):  
Fan Shi ◽  
Leyi Chen
2014 ◽  
Vol 52 (4) ◽  
pp. 993-1074 ◽  
Author(s):  
Paul Beaudry ◽  
Franck Portier

There is a widespread belief that changes in expectations may be an important independent driver of economic fluctuations. The news view of business cycles offers a formalization of this perspective. In this paper we discuss mechanisms by which changes in agents' information, due to the arrival of news, can cause business cycle fluctuations driven by expectational change, and we review the empirical evidence aimed at evaluating their relevance. In particular, we highlight how the literature on news and business cycles offers a coherent way of thinking about aggregate fluctuations, while at the same time we emphasize the many challenges that must be addressed before a proper assessment of the role of news in business cycles can be established. (JEL D83, D84, E13, E32, O33)


2018 ◽  
Vol 2 (1) ◽  
pp. 72-100
Author(s):  
Abdelsalam BOUKHEROUFA

The main objective of this paper is to highlight the most important shocks that drives the business cycles in the Algerian economy. Using Bayesian estimation techniques, we estimate a dynamic stochastic general equilibrium model (DSGE) using four time series of the Algerian macroeconomics. Through this estimated model, which succeeded in capturing the dynamics of the Algerian economy data, we found three main results: First, the main causes of business cycle fluctuations in the Algerian economy are aggregate demand shocks. Second, the of government spending shock play the most important role in output fluctuations. Third, empirical results show evidences of procyclical in government spending policies.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aleksandar Vasilev

PurposeIn this study, inventories are introduced as a productive input into a real-business-cycle (RBC) setup augmented with the government.Design/methodology/approachThe model is calibrated to Bulgarian data for the period 1999–2019. The quantitative importance of the presence of inventories is investigated.FindingsThe quantitative effect of inventories is found to be important: decreasing consumption volatility and increasing employment variability. Those results, however, are at the expense of decreasing wage volatility and increasing investment volatility, and generally worsening the contemporaneous correlations of the main variables with output.Originality/valueFluctuations in inventory levels matter for business cycle fluctuations in Bulgaria, which is a novel result. Still, there is a need for more research on the incorporation of inventories into RBC models to better fit the Bulgarian experience.


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