I have a PhD in computational finance (agent-based modeling). From December 2016 to September 2019, I have been working as a Postdoc at the University of Hyogo in Japan, as a member of the PostK project. My focus was on studying the Japanese supply chain network and modeling the damages related to natural disasters. In October 2019 I started a new position at PIK as a Postdoc for the SLICE project: http://www.climate-impact-economics.org/en. My research focuses on the economic impact of weather extremes.
Department
Working Group
Contact
14412 Potsdam
ORCID
- Economic impacts of natural disasters and weather extremes.
- Supply chain.
- Complex network and network science.
- Computational economics and agent-based modeling.
- Econometrics and climate econometrics.
Peer reviewed journals
- Krichene, H., Inoue, H., Isogai, T., Chakraborty, A. A model for indirect losses of negatives shocks in production and finance. Plos One, 15(9): e0239293, (2020).
- Krichene, H., Fujiwara, Y., Chakraborty, A., Arata, Y., Inoue, H., Terai, M. The emergence of properties of the Japanese production network: How do listed firms choose their partners?. Social Network, 59, pp 1 - 9, (2019).
- Chakraborty A., Krichene H., Inoue H. Fujiwara Y. Exponential random graph models for the Japanese bipartite network of banks and firms. Journal of Computational Social Science (2019).
- Krichene H., Chakraborty A., Fujiwara Y., Inoue H., Terai M. Tie-formation process within the communities of the Japanese production network: application of an exponential random graph model. Applied Network Science (2019).
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Chakraborty A., Krichene H., Fujiwara Y., Inoue H. Characterization of the community structure in a large-scale production network in Japan. Physica A: Statistical Mechanics and its Applications (2019).
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Krichene H., Chakraborty A., Inoue H., Fujiwara Y. Business cycles’ correlation and systemic risk of the Japanese supplier-customer network. PLoS ONE (2017), 12(10): e0186467.
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Krichene H., El-Aroui M-A. Artificial stock markets with different maturity levels: Simulation of information asymmetry and herd behavior using agent-based and networks models. Journal of Economic Interaction and Coordination (2017).
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Krichene H., El-Aroui M-A. Agent-Based Simulation and Microstructure Modeling of Immature Stock Markets: Case of a Single Risky Asset. Computational Economics (2016).
Proceedings
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Arata Y., Chakraborty A., Fujiwara Y., Inoue H., Krichene H., Terai M. Shock propagation through customer-supplier relationships: An application of the stochastic actor oriented model. Complex Networks & Their Applications VI, Proceedings of Complex Networks (2017).
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Krichene H., El-Aroui M-A. Behavioral and Informational Agents-Based Modeling and Simulation of Emerging Stock Markets, Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability Advances in Intelligent Systems and Computing (Springer) Volume 372, 2015, pp 3-10.
Discussion and preprint papers
- Krichene H., Geiger T., Frieler K., Willner S.N., Sauer I., Otto C. The impacts of tropical cyclones and fluvial floods on economic growth - Empirical evidence on Transmission channels at different levels of development. SSRN (2020)
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Krichene H., Inoue, H., Isogai, T., Chakraborty, A. A model for indirect losses of negatives shocks in production and finance, SSRN (2019).
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Krichene H., Arata Y., Chakraborty A., Fujiwara Y., Inoue H. How Firms Choose their Partners in the Japanese Supplier-Customer Network? An application of the exponential random graph model. Research Institute of Economy, Trade and Industry (2018), RIETI Discussion Paper Series 18-E-011.
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Japan Society for the Promotion of Science, KAKENHI, Grants-in-Aid for early career scientists.