1. 2021
  2. Analyzing, modeling, and utilizing observation series correlation in capital markets

    Musaev, A. & Grigoriev, D., 2 Aug 2021, In: Computation. 9, 8, 12 p., 88.

    Research output: Contribution to journalArticlepeer-review

  3. Saving behavior and financial literacy of Russian high school students: An application of a copula-based bivariate probit-regression approach

    Gilenko, E. & Chernova, A., Aug 2021, In: Children and Youth Services Review. 127, 11 p., 106122.

    Research output: Contribution to journalArticlepeer-review

  4. The evolution of financial constraints

    Christodoulou, D., Ho, S. & Prokhorov, A., 1 Apr 2021, In: European Financial Management. 27 p.

    Research output: Contribution to journalArticlepeer-review

  5. Влияние региональной специализации на экономический рост

    Коростышевская, Е. М., Гамидуллаева, Л. А. & Подкорытова, О. А., 16 Mar 2021, Управление регионами Российской Федерации в посткризисных условиях: проблемы и пути их решения: V Международный экономический симпозиум 14-17 апреля 2021, конференция "АКТУАЛЬНЫЕ ПРОБЛЕМЫ МЕНЕДЖМЕНТА: ПРОБЛЕМЫ УПРАВЛЕНИЯ ОРГАНИЗАЦИЯМИ И РЕГИОНАМИ В ПОСТКРИЗИСНЫХ УСЛОВИЯХ". СПб: Скифия-принт, p. 890-894

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  6. msreg: A command for consistent estimation of linear regression models using matched data

    Hirukawa, M., Liu, D. & Prokhorov, A., Mar 2021, In: Stata Journal. 21, 1, p. 123-140 18 p.

    Research output: Contribution to journalReview articlepeer-review

  7. A new approach to credit ratings

    Pertaia, G., Prokhorov, A. & Uryasev, S., 1 Feb 2021, In: Journal of Banking and Finance. 106097.

    Research output: Contribution to journalArticlepeer-review

  8. A new family of copulas, with application to estimation of a production frontier system

    Amsler, C., Prokhorov, A. & Schmidt, P., Feb 2021, In: Journal of Productivity Analysis. 55, 1, 14 p.

    Research output: Contribution to journalArticlepeer-review

  9. 10th International Conference on Computational Data and Social Networks, CSoNet 2021

    Гадасина, Л. В., Векленко, В. С. & Luukka, P., 2021, Computational Data and Social Networks - 10th International Conference, CSoNet 2021, Proceedings. Mohaisen, D. & Jin, R. (eds.). Springer Nature, (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13116 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

  10. A Machine Learning Attack on Illegal Trading

    James, R., Leung, H. & Прохоров, А. Б., 2021.

    Research output: Working paper

ID: 73708355