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Foundations of Modern Finance I

Finance,

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, investments, and corporate financial decisions under a unified framework.

Completing this first course and program will help you prepare for a career as a financial analyst, financial advisor, vice president for finance, chief financial officer, and more.

Finance provides a core function in any productive economy by providing a mechanism for savings, investment, and liquidity. Whether the learner is in a industrialized country or a developing country, financial services are essential for smooth functioning of the economy.

The course is excellent preparation for anyone planning to take the CFA exams.

What you'll learn

  • Basic Probability and Statistics;
  • Calculus
  • Valuation of fixed income securities and common stocks
  • Risk analysis, the Arbitrage Pricing Theory (APT), and the Efficient Market Hypothesis
  • Introduction to corporate finance and capital budgeting
  • Valuation of derivative securities
  • Portfolio theory and the Capital Asset Pricing Model (CAPM)
  • Corporate financial decisions
  • Real options, capital structure, payout policy, corporate bonds; and
  • Interaction between investment and financing decisions

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Rating Not enough ratings
Length 12 weeks
Effort 10 - 14 hours per week
Starts On Demand (Start anytime)
Cost $450
From MITx, Massachusetts Institute of Technology via edX
Instructors Leonid Kogan, Jiang Wang, Egor Matveyev
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Analysis & Statistics Economics & Finance

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Rating Not enough ratings
Length 12 weeks
Effort 10 - 14 hours per week
Starts On Demand (Start anytime)
Cost $450
From MITx, Massachusetts Institute of Technology via edX
Instructors Leonid Kogan, Jiang Wang, Egor Matveyev
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Analysis & Statistics Economics & Finance

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