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2020 – today
- 2025
[j4]Ahmad Aghapour, Hamidreza Arian
, Luis Seco:
Deep-time neural networks: An efficient approach for solving high-dimensional PDEs. Appl. Math. Comput. 488: 129117 (2025)- 2024
- [j3]Hamidreza Arian, Daniel Norouzi Mobarekeh, Luis Seco:
Backtest overfitting in the machine learning era: A comparison of out-of-sample testing methods in a synthetic controlled environment. Knowl. Based Syst. 305: 112477 (2024) - 2022
- [j2]Hamidreza Arian, Mehrdad Moghimi, Ehsan Tabatabaei, Shiva Zamani:
Encoded Value-at-Risk: A machine learning approach for portfolio risk measurement. Math. Comput. Simul. 202: 500-525 (2022) - 2021
- [j1]Seyed Mohammad Sina Seyfi, Azin Sharifi, Hamidreza Arian:
Portfolio Value-at-Risk and expected-shortfall using an efficient simulation approach based on Gaussian Mixture Model. Math. Comput. Simul. 190: 1056-1079 (2021) - 2020
- [i3]Hamidreza Arian, Seyed Mohammad Sina Seyfi, Azin Sharifi:
A Novel Classification Approach for Credit Scoring based on Gaussian Mixture Models. CoRR abs/2010.13388 (2020) - [i2]Hamidreza Arian, Mehrdad Moghimi, Ehsan Tabatabaei, Shiva Zamani:
Encoded Value-at-Risk: A Predictive Machine for Financial Risk Management. CoRR abs/2011.06742 (2020)
2010 – 2019
- 2019
- [i1]Mohammadreza Ghanbari, Hamidreza Arian:
Forecasting Stock Market with Support Vector Regression and Butterfly Optimization Algorithm. CoRR abs/1905.11462 (2019)
Coauthor Index
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