2017
DOI: 10.2139/ssrn.3020669
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Brexit Associated Sharp Depreciation and Implications for UK's Inflation and Balance of Payments

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Cited by 5 publications
(6 citation statements)
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“…More recently, Junior (2017) supported the notion of a decline in ERPT because of I.T., but also cautioned that it should be not be inferred that the ERPT has become "non-existent". On the contrary, recent empirical evidence on the ERPT and I.T has strongly refuted this line of reasoning (Nasir and Simpson, 2018;Forbes et al 2017;Forbes, 2016) and has shown that, in fact, ERPT has increased in inflation-targeting countries (Nasir and Vo, 2018).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…More recently, Junior (2017) supported the notion of a decline in ERPT because of I.T., but also cautioned that it should be not be inferred that the ERPT has become "non-existent". On the contrary, recent empirical evidence on the ERPT and I.T has strongly refuted this line of reasoning (Nasir and Simpson, 2018;Forbes et al 2017;Forbes, 2016) and has shown that, in fact, ERPT has increased in inflation-targeting countries (Nasir and Vo, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…The assertions byPosen (2011) are required to be tested against the empirical evidence , as one may also argue that if the inflation expectation had been strongly anchored then the recent exchange rate shocks in the UK would not have caused the surge in inflation and the weak performance of the Bank of England's forecast(Broadbent, 2017;Nasir, 2017b;Haldane, 2017 andSimpson, 2018 ).…”
mentioning
confidence: 99%
“…the EPU indices show an upward trend. By looking at the average changes in uncertainties, we also found some highlighted economic events, which have been directed to some countries and areas (for instance, the US-China trade war (Burggraf et al, 2020), the negative effects of Brexit (Nasir and Simpson, 2018), and the COVID-19 pandemic and its impacts on financial markets (Schell et al, 2020;Huynh et al, 2021a;Dai et al, 2021b)).…”
Section: Data Sourcementioning
confidence: 88%
“…Second, the classical maximum likelihood is related to the high dimensionality and nonlinearity of the problem which could be an issue due to the reason that a complicated model often accompanies a likelihood with multiple peaks, some of which not much of interest or in the region of the parameter space which is not plausible 17 . Lastly, the pragmatism of this approach, the Bayesian approach very efficiently treats the nonlinearities in the model as well as the high dimension of the parameter space (Nasir, Rizvi, & Rossi, 2018; Nasir & Simpson, 2018; Primiceri, 2005).…”
Section: Methodsmentioning
confidence: 99%