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From optimism to pessimism: The stability of the Euro FX market in the short and long run

Author

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  • Bachar FAKHRY

    (University of Lahore, School of Accountancy & Finance, Lahore, Pakistan)

Abstract

We review the EU’s actions over the euro’s lifetime; since its introduction thru to the populist uprising of the late 2010s. The euro was introduced on a wave of optimism throughout the EU, although based on a compromised monetary agreement. Essentially, underlining the crisis and movement from optimism to pessimism in the EU integration road. Thus, it is hard to analyse the euro without reviewing the theories influencing this road. Furthermore, we analyse the long and short-run market stability of the euroFX market using the variance bound model of (Fakhry & Richter, 2018). However, it is difficult to explain the market analysis without referencing behavioural finance. Thus we use key elements of behavioural finance, such as the opposite scale behaviours of greed and fear, to fully explain the timeline analysis of the euro FX market stability in both the long and short runs. At first glance, the result was unexpected due to the critical factor that the market wassignificantly volatile in the long run; despite conventional wisdom dictating that in the long-run, the financial markets are generally stable. One possible explanation is that the market participants are fearful of the long-run future of the Euro

Suggested Citation

  • Bachar FAKHRY, 2020. "From optimism to pessimism: The stability of the Euro FX market in the short and long run," Journal of Economics and Political Economy, EconSciences Journals, vol. 7(4), pages 261-283, December.
  • Handle: RePEc:cvv:journ1:v:7:y:2020:i:4:p:261-283
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    References listed on IDEAS

    as
    1. Michael Ehrmann & Marcel Fratzscher, 2003. "Interdependence between the Euro area and the U.S.: what role for EMU?," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
    2. Bachar Fakhry & Christian Richter, 2018. "Does the Federal Constitutional Court Ruling Mean the German Financial Market is Efficient?," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 4(2), pages 111-125.
    3. Markus K. Brunnermeier, 2009. "Deciphering the Liquidity and Credit Crunch 2007-2008," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 77-100, Winter.
    4. Bachar FAKHRY, 2019. "Happy 20th birthday Euro: An integrated analysis of the stability status in the Eurozone’s equity markets," Journal of Economics and Political Economy, EconSciences Journals, vol. 6(3), pages 227-256, September.
    5. Heath, Chip & Tversky, Amos, 1991. "Preference and Belief: Ambiguity and Competence in Choice under Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 4(1), pages 5-28, January.
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    Keywords

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    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G01 - Financial Economics - - General - - - Financial Crises
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • H77 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Intergovernmental Relations; Federalism

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