2019
DOI: 10.1007/s00181-019-01671-y
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The Moses effect: can central banks really guide foreign exchange markets?

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Cited by 2 publications
(5 citation statements)
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“…Again the RBI strongly intervenes to stem volatility (Roy Trivedi/Apte 2016), which can explain the higher volatility noted during the intervention period. However, it must be noted here that volatility may be both a cause and an effect of intervention (Roy Trivedi 2019). While the endogeneity issue is a gray area in intervention studies, it has been shown that intervention sees a jump in the volatility in the forex market (Chari 2007;Roy Trivedi 2019).…”
Section: Resultsmentioning
confidence: 89%
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“…Again the RBI strongly intervenes to stem volatility (Roy Trivedi/Apte 2016), which can explain the higher volatility noted during the intervention period. However, it must be noted here that volatility may be both a cause and an effect of intervention (Roy Trivedi 2019). While the endogeneity issue is a gray area in intervention studies, it has been shown that intervention sees a jump in the volatility in the forex market (Chari 2007;Roy Trivedi 2019).…”
Section: Resultsmentioning
confidence: 89%
“…However, it must be noted here that volatility may be both a cause and an effect of intervention (Roy Trivedi 2019). While the endogeneity issue is a gray area in intervention studies, it has been shown that intervention sees a jump in the volatility in the forex market (Chari 2007;Roy Trivedi 2019). This explains why the intervention period shows a substantially higher volatility than other periods.…”
Section: Resultsmentioning
confidence: 92%
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“…( 3 ). The use of ordered logit model to look at volatility is well-established in literature (Chari, 2007 ; Roy Trivedi, 2020 ) and helps to understand the reaction of different volatility buckets to the independent variable, here the foreboding index. The difference between high and low (realized range) is an efficient estimator of volatility and may be more suitable to microstructure models than squared intraday returns (Martens & Dijk, 2007 ).…”
Section: Resultsmentioning
confidence: 99%