Amel Belanès

Prof. Dr. Amel Belanès

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Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2015 in Pacific-Basin Finance Journal
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Journal Article
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ABAmel Belanès
Amel Belanès
Zied FtitiZied Ftiti
Zied Ftiti
RRRym Regaïeg
Rym Regaïeg

1 March 2006 in International Review of Finance
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Journal Article
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SNSamy Ben Naceur
Samy Ben Naceur
MGMohamed Goaied
Mohamed Goaied
ABAmel Belanès
Amel Belanès

4 September 2014 in Computational Economics
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Zied FtitiZied Ftiti
Zied Ftiti
Aviral Kumar TiwariAviral Kumar Tiwari
Aviral Kumar Tiwari
ABAmel Belanès
Amel Belanès
KGKhaled Guesmi
Khaled Guesmi

14 April 2010 in Management international
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ABAmel Belanès
Amel Belanès
RHRym Hachana
Rym Hachana
Le contexte de prise de décision est entaché par des biais cognitifs. Se basant sur un échantillon de 46 entreprises tunisiennes cotées durant 1997-2006, nous avons d’abord observé l’influence de trois biais (sur-confiance, mimétisme et illusion de contrôle) sur la perception du risque et ensuite, nous avons analysé la relation entre cette perception et la prise de risque effective. Nos résultats concluent à l’existence d’une relation positive entre le biais de sur-confiance et de mimétisme et la prise de risque et à une relation négative entre le biais de l’illusion de contrôle et la prise de risque managériale.

9 July 2015 in Journal of Applied Business Research (JABR)
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RDRaoudha Djebali
Raoudha Djebali
ABAmel Belanès
Amel Belanès
This paper investigates the effect of not only the controlling shareholders but also their identity on dividend policy. For a large panel of French firms during the period 2006-2010, we find that the dividend payout ratio increases with the ownership concentration. However, this result changes with the identity of the largest shareholder. Family-controlled firms are more tempted to distribute lower dividends while firms dominated by institutional investors likely distribute higher dividends. Empirical results also reveal that firms with more independent directors are associated with higher dividend payout in contrast to US cross-listed firms.

2 January 2024 in The Journal of Risk Finance
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Journal Article
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ABAmel Belanès
Amel Belanès
AMAbderrazek Ben Maatoug
Abderrazek Ben Maatoug
MTMohamed Bilel Triki
Mohamed Bilel Triki
Purpose: The paper investigates the dynamic relationship between oil prices, the USA dollar exchange rate and the Saudi stock market index.Design/methodology/approach: The authors perform a novel dynamic simulated the autoregressive distributed lag (ARDL) on weekly data from 2010 to 2021.Findings: The authors' work reveals three main results: First, a cointegration relationship exists between oil prices and the Saudi stock market index. Second, the Saudi stock market is strongly affected by fluctuations in oil prices in both the short and long run. Third, the exchange rate of the USA dollar has a slight influence on the movements of the Saudi stock market. The simulations show that the Saudi stock market index has a long-run upward trend after an oil price shock, while the dollar index rises moderately after a similar shock. Moreover, the first months of the COVID-19 pandemic coincided with a significant decline in the Saudi stock market index, particularly the substantial drop in oil prices.Practical implications: These findings encourage domestic and foreign investors to benefit from an upward trend in oil prices, especially after the opening of the Saudi market to foreign investment. On the other hand, it raises questions about the Saudi economy's dependence on oil as the sole vehicle for output growth. It highlights the urgent need for diversification and productivity growth in the non-oil sector and other renewable natural resources to increase Saudi competitiveness.Originality/value: The novelty of the research lies in the following. First, the authors apply one of the latest developments in time-series modeling techniques. This dynamic ARDL simulation model provides a worthwhile alternative way to explore dynamic correlations in the short and long run and assess the choc effects. Secondly, the study would enable us to track the impact of the COVID-19 health crisis on the Saudi stock market.