Assessing the impact of monetary fundamentals on exchange rate fluctuations a Bayesian network approach. (3rd December 2019)
- Record Type:
- Journal Article
- Title:
- Assessing the impact of monetary fundamentals on exchange rate fluctuations a Bayesian network approach. (3rd December 2019)
- Main Title:
- Assessing the impact of monetary fundamentals on exchange rate fluctuations a Bayesian network approach
- Authors:
- Charfi, Sahar
BenHamad, Salah
Masmoudi, Afif - Abstract:
- Abstract : Purpose: The purpose of this paper is to analyze how monetary fundamentals affect exchange rate movements. Design/methodology/approach: To develop this paper, a Bayesian Network modeling is applied to explore the causal interactions between monetary fundamentals and exchange rate fluctuations. Subsequently, a sensitivity analysis is performed to asses and estimate exchange rate behavior with uncertain monetary fundamentals. Furthermore, a Granger Causality test is used as suggested in the Econometric literature to determine the causality direction among factors. Findings: The empirical findings show that money supply and interest rate have a significant positive effect on exchange rate, whereas inflation rate has a considerable negative effect on exchange rate. In addition, the authors deduce that real income has an indirect impact on exchange rate and a direct impact on inflation rate, interest rate and money supply. Furthermore, the sensitivity analysis shows that monetary uncertainty has a considerable effect on exchange rate fluctuations. Moreover, the Granger Causality test reveals that there is a unique unidirectional causality running from money supply to exchange rate. Practical implications: The model can be considered as a vital management tool for international investors and financial analysts to explore the effect of monetary fundamentals on exchange rate behavior. It allows estimating exchange rate fluctuations with uncertain monetary factors.Abstract : Purpose: The purpose of this paper is to analyze how monetary fundamentals affect exchange rate movements. Design/methodology/approach: To develop this paper, a Bayesian Network modeling is applied to explore the causal interactions between monetary fundamentals and exchange rate fluctuations. Subsequently, a sensitivity analysis is performed to asses and estimate exchange rate behavior with uncertain monetary fundamentals. Furthermore, a Granger Causality test is used as suggested in the Econometric literature to determine the causality direction among factors. Findings: The empirical findings show that money supply and interest rate have a significant positive effect on exchange rate, whereas inflation rate has a considerable negative effect on exchange rate. In addition, the authors deduce that real income has an indirect impact on exchange rate and a direct impact on inflation rate, interest rate and money supply. Furthermore, the sensitivity analysis shows that monetary uncertainty has a considerable effect on exchange rate fluctuations. Moreover, the Granger Causality test reveals that there is a unique unidirectional causality running from money supply to exchange rate. Practical implications: The model can be considered as a vital management tool for international investors and financial analysts to explore the effect of monetary fundamentals on exchange rate behavior. It allows estimating exchange rate fluctuations with uncertain monetary factors. Originality/value: This study is the first one which applied a Bayesian Network modeling to examine the exchange rate determination problem. Results of this research are presented under a clear graphical representation that can be easily useful by monetary policymakers and international traders to determine the influential monetary factors on exchange rate behavior. Also, the model will help them in estimating the effect of monetary uncertainty on exchange rate fluctuations. … (more)
- Is Part Of:
- Journal of modelling in management. Volume 15:Number 1(2020)
- Journal:
- Journal of modelling in management
- Issue:
- Volume 15:Number 1(2020)
- Issue Display:
- Volume 15, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 15
- Issue:
- 1
- Issue Sort Value:
- 2020-0015-0001-0000
- Page Start:
- 166
- Page End:
- 181
- Publication Date:
- 2019-12-03
- Subjects:
- Exchange rates -- Artificial intelligence -- Financial modeling
Industrial management -- Mathematical models -- Periodicals
Industrial management -- Computer simulation -- Periodicals
Business -- Mathematical models -- Periodicals
Business -- Computer simulation -- Periodicals
658.4033 - Journal URLs:
- http://firstsearch.oclc.org ↗
http://rave.ohiolink.edu/ejournals/issn/17465664/ ↗
http://www.emeraldinsight.com/info/journals/jm2/jm2.jsp ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/JM2-09-2018-0130 ↗
- Languages:
- English
- ISSNs:
- 1746-5664
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5020.575500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22032.xml