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The 30 Best Master of Finance Degree Programs
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Concentrates on recognizing and solving convex optimization problems that arise in applications. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interior-point methods. Applications to signal processing, statistics and machine learning, control and mechanical engineering, digital and analog circuit design, and finance. Prerequisites: Math 309 and ESE 415.
Programme - ISCTE Business School
This course provides basic skills in quantitative modeling. The objective is to familiarize students with the main steps in an analytical approach to business decision making: constructing an abstract model for a relevant business problem, formulating it in a spreadsheet environment such as Microsoft Excel, and using the tools of optimization, Monte Carlo simulation and sensitivity analysis to generate and interpret recommendations. The class will be taught in a lab style, with short in-class exercises done in small teams, focusing on a variety of applications drawn from online advertising, healthcare, finance, supply chain management, revenue and yield optimization.
This elective 1-unit course is offered to 2nd-year, 3rd-year, and 4th-year Medical students, Residents, and Fellows, and to 2nd-year MBA students who aspire to improve their ability to deal effectively with difficult interpersonal situations. The course will be taught at Stanford Medical School by H. Irving Grousbeck, Consulting Professor of Management, Stanford Graduate School of Business, with assistance from Dr. Charles G. Prober, Senior Associate Dean for Medical Education. Teaching techniques that have been successful in helping business school students improve their ability to manage difficult conversations will be used. The course, which will be case-based, will involve frequent student-to-student and student-to-instructor role-playing in actual medical situations. Physician-experts often will be present to participate as class guests. Relevant principles of professionalism, leadership, and psychology underlie the course pedagogy. There will be seven classes held on Wednesdays beginning September 27th and concluding on November 15th (no class on October 25). Each class will begin promptly at 12:30 and end at 2:05, without a break. Due to the abbreviated nature of the class (7 sessions), students will be expected to attend all classes unless excused in advance. Class preparation will include reading of assigned cases; analysis of the cases and recommendations as to how to confront specific difficult conversations (consistent with assigned study questions); and reading of assigned background material. While optional, it is suggested that students form regular study groups. For GSB students, 50% of the final grade will depend on classroom performance; the remainder will be based on a final written assignment of no more than 6 pages. GSB students will be graded on a Pass/Fail basis. The course will be ungraded for Medical School students, Residents and Fellows. All students will be expected to complete the written assignment. Class size will be limited to 35 students per the following: (1) a maximum of 15 MBA2 students and (2) a maximum of 20 2nd-year, 3rd-year and 4th-year Medical Students, Residents, and Fellows.
MSc in Finance Syllabus 2017/2018 > Elective courses
This course is an introduction to options, futures and other derivative securities. The goal is to learn a core set of principles that underlie the pricing and use of derivatives. In particular, we will cover the valuation and use, both for risk management and for speculation, of forwards, futures, swaps, and options; the Black-Scholes option-pricing formula; delta-hedging; credit derivatives; financial risk management; and the role of derivatives in the recent financial crisis.
This course will develop a detailed knowledge of corporate valuation techniques, together with an understanding of the role such valuations play in a wide range of corporate financing decisions. First, the course will carefully consider different valuation techniques, the assumptions that underlie each of these methods, how they are applied in practice, how they are related to one another, and how to decide which method of valuation is appropriate for a given application. After developing these tools, they will then be applied to a wide range of corporate finance settings. Among the applications to be considered are mergers and acquisitions, international valuation, corporate governance, financial distress, agency conflicts, asymmetric information, and overvaluation. For all of these applications, this course will emphasize the central importance of valuation to understanding observed phenomena and to guiding optimal decision making, as well as the unique challenges to valuation posed by the particular application.
Banking, Stock Exchanges, Insurance, Accounting
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Human Knowledge: Foundations and Limits
This course considers a wide range of topics in theoretical corporate finance (broadly interpreted). Topics include capital structure decisions, agency conflicts in the firm, dividend policy, security design, optimal financial contracting, the theory of the firm, the market for corporate control, and banking and financial intermediation, among others. The primary focus is on how asymmetric information, agency conflicts, strategic interactions, and incomplete contracting affect corporate financial decision-making. The course aims both to familiarize students with influential papers and current research, and to promote new research ideas in the area.
Doctor of Philosophy - Wikipedia
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Graduate School of Business | Stanford University
This course is an introduction to multiperiod models in finance, mainly pertaining to optimal portfolio choice and asset pricing. The course begins with discrete-time models for portfolio choice and security prices, and then moves to a continuous-time setting. The topics then covered include advanced derivative pricing models, models of the term structure of interest rates, the valuation of corporate securities, portfolio choice in continuous-time settings, and finally general-equilibrium and over-the-counter asset pricing models. Students should have had some previous exposure to general equilibrium theory and some basic courses in investments. Strong backgrounds in calculus, linear algebra, and probability theory are recommended. Problem assignments are frequent and, for most students, demanding. Prerequisite: F620 and MGTECON600 (or equivalent), or permission of instructor.
Quantitative Finance Risk Analytics ..
The financial economics of how retirement is financed, particularly in the US. Topics: basic finance concepts necessary for understanding individual retirement savings. Properties of financial instruments such as bonds and stocks. Optimization of individual retirement account or 401(k) portfolios. Defined benefit pensions. Measuring defined benefit pension liabilities. Impact of defined benefit pension liabilities on corporate, state, and local budgeting. The economics of national retirement policy including Social Security and government treatment of private retirement savings.
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