Foundations of Modern Finance I
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.
What you'll learn
- 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 |
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Length | 12 weeks |
Effort | 12 weeks, 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 | 12 weeks, 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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