Egor Matveyev

Egor Matveyev is a Senior Lecturer and Research Scientist in Finance at the MIT Sloan School of Management.
His research interests are in the fields of corporate finance, organizational economics, and corporate governance. Matveyev’s work has studied corporate director labor markets, the impact of management teams and CEOs on firm value and performance, and the challenges investors face in valuing firms’ investment options. At MIT Sloan, he teaches 15.401 Managerial Finance and 15.434 Advanced Corporate Finance.
Matveyev holds an MA in Economics from the New Economic School in Moscow and a PhD in Finance from the University of Rochester.
Current Research Focus: Matveyev’s current research focus is corporate finance, with a particular interest in the role of top corporate executives in creating firm value and its implications for executive compensation and the design of corporate governance systems. Current research projects include measuring the value of CEOs, allocation of executive skill across firms, and the role of non-pay job characteristics in the executive and director labor markets.

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Foundations of Modern Finance II (edX)

Jan 5th 2022
Foundations of Modern Finance II (edX)
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Learn fundamental principles of modern finance, including valuation models, methods for risk analysis, derivative instruments and investment management. Many of the most important financial decisions in business are done under uncertainty. This is the second course in the Foundations of Modern Finance series of courses, as part of the [...]
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Derivatives Markets: Advanced Modeling and Strategies (edX)

Sep 29th 2021
Derivatives Markets: Advanced Modeling and Strategies (edX)
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Financial derivatives are ubiquitous in global capital markets. Students will obtain a sophisticated understanding of valuation methods; tools for quantifying, hedging, and speculating on risk; and a basic familiarity with major markets and instruments. Financial derivatives are ubiquitous in global capital markets, and those products and the institutions around [...]
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Foundations of Modern Finance I (edX)

Sep 22th 2021
Foundations of Modern Finance I (edX)
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A mathematically rigorous framework to understand financial markets delivered with data-driven insights from MIT professors. This is a two-part course, and part of the MicroMasters® Program in Finance. It provides a rigorous and comprehensive introduction to the fundamentals of modern finance and their applications to business challenges in valuation, [...]
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Mathematical Methods for Quantitative Finance (edX)

Jul 7th 2021
Mathematical Methods for Quantitative Finance (edX)
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Learn the mathematical foundations essential for financial engineering and quantitative finance: linear algebra, optimization, probability, stochastic processes, statistics, and applied computational techniques in R. Modern finance is the science of decision making in an uncertain world, and its language is mathematics. As part of the MicroMasters® Program in Finance, [...]
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