2018
DOI: 10.1016/j.iref.2018.02.006
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Economic dynamics during periods of financial stress: Evidences from Brazil

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Cited by 16 publications
(9 citation statements)
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“…For the Brazilian economy, non‐linear empirical studies have been applied to several issues, including inflation targeting under different fiscal regimes (Favero & Giavazzi, 2004), business cycles (Arango & Melo, 2006), and the pass‐through effect of exchange rate into inflation (Correa & Minella, 2010; Macera & Divino, 2015). However, to the best of our knowledge, Stona et al (2018) is the only other work addressing the non‐linear macroeconomic consequences of financial stress. The authors use an MS‐VAR model that confirms the non‐linear, regime‐dependent behavior of four significant macroeconomic variables: inflation, federal interest rate, consumption, and M2.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…For the Brazilian economy, non‐linear empirical studies have been applied to several issues, including inflation targeting under different fiscal regimes (Favero & Giavazzi, 2004), business cycles (Arango & Melo, 2006), and the pass‐through effect of exchange rate into inflation (Correa & Minella, 2010; Macera & Divino, 2015). However, to the best of our knowledge, Stona et al (2018) is the only other work addressing the non‐linear macroeconomic consequences of financial stress. The authors use an MS‐VAR model that confirms the non‐linear, regime‐dependent behavior of four significant macroeconomic variables: inflation, federal interest rate, consumption, and M2.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Finally, past financial stress episodes are easily identified in the data, as shown in Figure 2. In this case, there is evidence in the literature (Deschamps, 2008) that LVSTAR models are more efficient than the alternative Markov‐switching models such as the one used in Stona et al (2018). The reason is that LVSTAR uses more information from the data to estimate the transition equation, whereas, in MSVAR, the transition is stochastically driven and does not indicate which specific variable is switching.…”
Section: Model and Datamentioning
confidence: 99%
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“…A theoretical reference among them is Hwang (2012), who through a small-open economy model calibrated for Korea, investigates the role of financial frictions in an emerging economy. Empirical studies include Auel and Ferreira (2011) and Stona, Morais and Triches (2018), who analyzed the way that domestic credit market conditions propagate and amplify shocks, affecting economic dynamics in Brazil. In turn, Kara, Hacihasanoglu and Unalmis (2019) argued that the feedback loop between banking and non-financial sectors during financial stress episodes is stronger for emerging markets with high net foreign currency indebtedness like Turkey.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The authors noticed the early signs of vulnerability through growth of credit to GDP, spread of interest rate, fiscal deficit, current account, exchange rate and differentials in interest rate. On the other hand, Stona et al (2018) stressed the importance of appropriate policies during adverse conditions through their study on the case of Brazil.…”
Section: Literature Reviewmentioning
confidence: 99%