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Regular version of the site
Contacts

119049 Moscow, Russia
11 Pokrovskiy boulevard, room S629

Phone:

+7 (495) 772-95-90*27447, *27947, *27190
+7 (495) 916-88-08 (Master’s Programme Corporate Finance)

- Email: df@hse.ru

finance@hse.ru 

Administration
Head of the School Irina Ivashkovskaya

Head of Corporate Finance Research Center, Dr., tenured professor

Manager Uliana Nepryakhina

+7 495-772-95-90 (add. 27190)

Senior Administrator Olesya Galyanina

+7 495-772-95-90 (add. 27447)

Administrator Tatyana Lipatova

+7 495-772-95-90 (add. 27947)

Administrator Irina Skobeleva

+7 495-772-95-90 (add. 27946)

Book
Systemic Financial Risk: An Emerging Market Perspective

Edited by: A. M. Karminsky, Mikhail Stolbov.

Palgrave Macmillan, 2024.

Article
How to incentivize CEOs to boost payouts? The role of inside debt

Anilov A., Ivashkovskaya I.

Journal of Economics and Business. 2025. Vol. 136. P. 1-21.

Book chapter
Beyond Claims: CSR Reports, ESG Initiatives, and the Consequences of Impressions Management; Empirical Analysis

Badr I., Rawnaa Ibrahim, Hussainey K.

In bk.: Opportunities and Risks in AI for Business Development. Vol. 2: 546. Bk. Opportunities and Risks in AI for Business Development. Prt. 636. Springer, 2025. P. 385-399.

Working paper
Climate Risk and Bank Liquidity Creation in MENA Region: A Dual Threshold–Quantile Approach

Zaiane S., Semenova M.

SERIES: FINANCIAL ECONOMICS. WP BRP 60/FE/2017. НИУ ВШЭ, 2025

Research seminar at the Laboratory for Banking Studies (LaBS FES HSE)

Event ended

On Tuesday, February 11th, 2025, at 13:00 (Moscow time) at the LaBS research seminar Paulo Medeiros (University of Milano-Bicocca) will present his paper "Consumption Behavior, Savings Targets and Learning Dynamics". 

Abstract:

This paper introduces a novel model integrating a savings target mechanism with learning dynamics to overcome limitations in classical consumption-savings theories, such as the permanent income and life cycle hypotheses. By incorporating behavioral responses to economic changes, the model more accurately captures observed consumption patterns, especially in response to transitory income shocks and variations in the marginal propensity to consume (MPC). Governed by a quadratic hyperbolic decay fitness function, the learning mechanismensures adaptability and long-term predictive reliability. Numerical simulations demonstrate the alignment of the model with empirical data, showcasing significant MPC responses to income shocks while maintaining key results such as consumption smoothing and long-term convergence to a steady state.

Full paper is available here.

Zoom link: https://us06web.zoom.us/j/81752096986?pwd=56BCaAF0ahx9WzrsTH9xGtkPpDNVxB.1#success