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Fethi Ayachi

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First Name:Fethi
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Last Name:Ayachi
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RePEc Short-ID:pay20
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Research output

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Jump to: Working papers Articles

Working papers

  1. Fethi Ayachi & Jamal Bouoiyour & Refk Selmi, 2012. "Another look at the interaction between oil price uncertainty and exchange rate volatility: The case of small open economies," Post-Print hal-01879693, HAL.

Articles

  1. Fahima Charef & Fethi Ayachi, 2018. "Non-linear causality between exchange rates, inflation, interest rate differential and terms of trade in Tunisia," African Journal of Economic and Management Studies, Emerald Group Publishing Limited, vol. 9(3), pages 274-289, August.
  2. Fahima Charef & Fethi Ayachi, 2016. "A Comparison between Neural Networks and GARCH Models in Exchange Rate Forecasting," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(1), pages 94-99, January.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Fethi Ayachi & Jamal Bouoiyour & Refk Selmi, 2012. "Another look at the interaction between oil price uncertainty and exchange rate volatility: The case of small open economies," Post-Print hal-01879693, HAL.

    Cited by:

    1. Jamal Bouoiyour & Refk Selmi & Muhammad Shahbaz & Aviral Kumar Tiwari, 2015. "The Nexus between Oil price and Russia’s Real Exchange rate: Better Paths via Unconditional vs Conditional Analysis," Post-Print hal-01879678, HAL.
    2. Tiwari, Aviral Kumar & Mutascu, Mihai Ioan & Albulescu, Claudiu Tiberiu, 2013. "The influence of the international oil prices on the real effective exchange rate in Romania in a wavelet transform framework," Energy Economics, Elsevier, vol. 40(C), pages 714-733.
    3. Zied Ftiti & Aviral Tiwari & Ibrahim Fatnassi, 2014. "Oil price and macroeconomy in India – An evolutionary cospectral coherence approach," Working Papers 2014-68, Department of Research, Ipag Business School.
    4. Bouoiyour, Jamal & Selmi, Refk, 2013. "The controversial link between exchange rate volatility and exports: Evidence from Tunisian case," MPRA Paper 49133, University Library of Munich, Germany, revised Mar 2013.
    5. Zankawah, Mutawakil M. & Stewart, Chris, 2019. "Measuring volatility spill-over effects of crude oil prices on Ghana’s exchange rate and stock market between 1991 and 2015," Economics Discussion Papers 2019-1, School of Economics, Kingston University London.
    6. Kassouri, Yacouba & Altıntaş, Halil, 2022. "The quantile dependence of the stock returns of “clean” and “dirty” firms on oil demand and supply shocks," Journal of Commodity Markets, Elsevier, vol. 28(C).

Articles

  1. Fahima Charef & Fethi Ayachi, 2018. "Non-linear causality between exchange rates, inflation, interest rate differential and terms of trade in Tunisia," African Journal of Economic and Management Studies, Emerald Group Publishing Limited, vol. 9(3), pages 274-289, August.

    Cited by:

    1. Mohamed Ali Chroufa & Nouri Chtourou, 2023. "Asymmetric relationship between exchange rate and inflation in Tunisia: fresh evidence from multiple-threshold NARDL model and Granger quantile causality," SN Business & Economics, Springer, vol. 3(7), pages 1-21, July.

  2. Fahima Charef & Fethi Ayachi, 2016. "A Comparison between Neural Networks and GARCH Models in Exchange Rate Forecasting," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(1), pages 94-99, January.

    Cited by:

    1. Muhammad Nadim Hanif & Khurrum S. Mughal & Javed Iqbal, 2018. "A Thick ANN Model for Forecasting Inflation," SBP Working Paper Series 99, State Bank of Pakistan, Research Department.
    2. Pyo, Sujin & Lee, Jaewook, 2018. "Exploiting the low-risk anomaly using machine learning to enhance the Black–Litterman framework: Evidence from South Korea," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 1-12.

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