2021
DOI: 10.1016/j.jimonfin.2021.102377
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External debt composition and domestic credit cycles

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Cited by 10 publications
(4 citation statements)
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“…This means that, during booms (crises), very little (too much) fiscal discipline is applied, which amplifies (worsens) booms (crises). That is, as argued by Mostak Ahamed (2017a, b, 2019), Castro and Martins (2019) and Avdjiev et al (2021), excessive risk-taking can disrupt financial stability and these, in turn, can spill to fiscal positions. Put it differently, fiscal destabilising effects engendered by financial markets may force governments towards excessive austerity, thus, deepening economic recessions (De Grauwe and Ji, 2013).2 7 F 24 These effects are more likely to take place in a monetary union, where governments issue debt in a currency that is not their own (De Grauwe and Ji, 2019), and our results suggest that they mainly operate via sovereign ratings, which tend to be pro-cyclical and exacerbate contagion (Michaelides et al, 2015).…”
Section: Discipline In the Context Of Financial Stressmentioning
confidence: 93%
“…This means that, during booms (crises), very little (too much) fiscal discipline is applied, which amplifies (worsens) booms (crises). That is, as argued by Mostak Ahamed (2017a, b, 2019), Castro and Martins (2019) and Avdjiev et al (2021), excessive risk-taking can disrupt financial stability and these, in turn, can spill to fiscal positions. Put it differently, fiscal destabilising effects engendered by financial markets may force governments towards excessive austerity, thus, deepening economic recessions (De Grauwe and Ji, 2013).2 7 F 24 These effects are more likely to take place in a monetary union, where governments issue debt in a currency that is not their own (De Grauwe and Ji, 2019), and our results suggest that they mainly operate via sovereign ratings, which tend to be pro-cyclical and exacerbate contagion (Michaelides et al, 2015).…”
Section: Discipline In the Context Of Financial Stressmentioning
confidence: 93%
“…Performance scores are distributed from 0 to 100. The highest score reflects the best situation (Avdjiev et al 2018).…”
Section: Domestic Credit To Private Sectormentioning
confidence: 99%
“…The succeeding null hypotheses below are tested against the alternative hypothesis for the long-term relationship: H0: γ1 to γ3 = 0 …… No cointegration H1: γ1 to γ3 ≠ 0 …… Cointegration (5) Additionally, to establish the short-term relationship against the alternative the following null hypotheses are set. From the below Table 2, the tabulated critical values are I(0) which denotes the lower bound and I(1) is the upper bound.…”
Section: Autoregressive Distributed Lag (Ardl) Bounds Testmentioning
confidence: 99%
“…External and domestic borrowing interact. Evidence suggests that external borrowing increases relative to the domestic during credit booms, Avdjiev, Binder, and Sousa, 2021;Borio, McCauley, and McGuire, 2011. Moreover, the strong credit expansion coupled with strong exchange rate appreciations typically precedes financial crises.…”
Section: Introductionmentioning
confidence: 99%