Rim Ayadi

Bio: Rim Ayadi is an academic researcher from Lyon College. The author has contributed to research in topics: Per capita & Feature selection. The author has an hindex of 2, co-authored 3 publications receiving 33 citations.

A new approach to deal with variable selection in neural networks: an application to bankruptcy prediction

Abstract: The purpose of the paper is to propose two new procedures that deal with overfitting problem using neural techniques for variable selection and business failure prediction. The first procedure, called HVS-AUC, is based simultaneously on (i) the backward search, (ii) the HVS measure (Heuristic for Variable Selection), and (iii) the AUC criterion (Area Under Curve). The second procedure, called forward-AUC, is based on (i) the forward search and (ii) the AUC criterion. Using a sample of bankrupt and non-bankrupt firms in France, the implementation of the procedures using neural networks shows that the profitability, the repayment capacity, the taxation, and the importance of investment have a strong explanatory power in bankruptcy prediction. These procedures also provide more parsimonious and more efficient models compared to Linear Discriminant Analysis.

Non-linear threshold effect of financial development on renewable energy consumption: evidence from panel smooth transition regression approach.

Abstract: Financial development is identified as one of the significant factors that affect energy consumption and has been widely discussed in the literature. However, the association between financial development and renewable energy consumption is still at its earlier stage and is limitedly explored. Therefore, the purpose of this study is to examine the non-linear association between financial development and renewable energy consumption in the top renewable energy consumption countries. The study utilized the newly introduced econometric technique panel smooth transition regression (PSTR) model with two regimes on annual panel data consisted of years 1997–2017. The result confirmed that all the financial development indicators increase renewable energy consumption but affect renewable energy consumption differently. Moreover, the economic growth and industrial structure showed a positive and significant association in both regimes, whereas the population showed a negative relationship with renewable energy consumption in a low growth regime but the association becomes positive in high growth regimes. The study suggested several policies for the top renewable consumption countries.

The impact of financial development and geopolitical risk on renewable energy consumption: evidence from emerging markets.

Abstract: In the past three decades, the significance of large industrialized emerging economies has been highlighted. In terms of economic productivity and CO2 emissions, these markets play an important role in the global environment. Hence, to achieve global environmental needs, transition to renewable energy sources is essential. However, financial constraints along with geopolitical risks could act as possible barriers to the required transition. Thereby, in this paper, we aim to assess the impact of financial development and geopolitical risk on renewable energy consumption in emerging markets from 1996 to 2015. A two-step system GMM is tested, revealing a positive significant effect of financial development on transition to renewable energy. Moreover, contrary to the expected negative effect of geopolitical risk, our results reveal significant positive effect of geopolitical risk on renewable energy consumption. We highlight that the effects of both financial development and geopolitical risk are more pronounced in the long run. Finally, imperative policy implications are highlighted.