即使在短期内,货币汇率模型也胜过随机漫步预测:塞尔维亚每日恶性通货膨胀的证据

IF 0.9 4区 经济学 Q3 ECONOMICS Panoeconomicus Pub Date : 2023-01-01 DOI:10.2298/pan230614020p
Pavle Petrovic, Zorica Mladenovic
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引用次数: 0

摘要

本文发现,在恶性通货膨胀情况下,货币汇率模型(MMER)的样本外预测,特别是在最具挑战性的一步预测中,决定性地击败了随机漫步模型,从而优于先前在低通货膨胀情况下获得的标准结果。调查结果指的是塞尔维亚每天发生的恶性通货膨胀,经过各种检验是可靠的。汇率迅速调整到其基本价值,以及塞尔维亚事件中出现的远低于一个折扣因素而不是低通货膨胀因素的低汇率,可以解释各自通货膨胀环境的不同结果。低折现率出现在其他恶性通货膨胀时期,而快速调整是由于恶性通货膨胀中没有名义刚性,因此两者都表明,报告的一次调查结果可能具有普遍性。
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A monetary model of exchange rate beats the random walk forecast even at a short horizon: Evidence from the Serbian hyperinflation at daily frequency
This paper finds that an out-of-sample forecast of a monetary model of exchange rate (MMER) in hyperinflation decisively beats a random walk one particularly at the most challenging one step ahead forecast, thus outperforming standard results previously obtained for low inflation episodes. The findings refer to the Serbian hyperinflation at daily frequency, and are robust with respect to various tests. Fast adjustment of the exchange rate to its fundamental value and the low, well below one discount factor found in the Serbian episode, as opposed to low-inflation ones, can account for divergent results in the respective inflation environments. The low discount factor appears in other hyperinflation episodes, while fast adjustment is due to the absence of nominal rigidities in hyperinflation thus both suggesting that reported findings for one episode might generalize.
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来源期刊
Panoeconomicus
Panoeconomicus ECONOMICS-
CiteScore
1.80
自引率
10.00%
发文量
31
审稿时长
40 weeks
期刊最新文献
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