Financial Engineering is a multidisciplinary field involving financial theory, the methods of engineering, the tools of mathematics and the practice of programming. The Financial Engineering Program provides training in the application of engineering methodologies and quantitative methods to finance. It is designed for students who wish to obtain positions in the securities, banking, and financial management and consulting industries, or as quantitative analysts in corporate treasury and finance departments of general manufacturing and service firms.
Mainly about: modern financial theory and the basic financial tools, financial analysis of stochastic basis, financial derivative securities pricing model, including Black Scholes model and other models, the principle of risk neutral pricing, financial market risk analysis and risk hedging strategies, sensitivity measurement, term structure and interest rate derivative securities, financial derivative securities pricing numerical method and computer simulation method.
Financial Markets mainly introduces the basic theory of financial system and institutions, including financial markets, financial instruments and financial institutions.
Applied Stochastic Processes
This is an introductory course for undergraduate students of math/stat major. The topics covered by this course include random walk, Markov chains, Poisson process, jump process and Brownian motion. We emphasis the intuitions behind these random models. Students taking this course are required to have a good training in probability as well as calculus and linear algebra.
"This lesson includes the contents as below:
1/Exchange rates,Foreign Exchange Markets
2/Balance of Payments
3/The theory of Exchange rates
Mathematical analysis is one of the most important courses for the students who wish to study the mathematics and related subjects. The course mainly includes the theory of Riemann integrals and the theory of series. The course is a basis for Mathematical analysis and for many courses such as differential equations; differential geometry, functions of one complex variable; real analysis, probability; basic physics, etc. The course provides the training for the mathematical thinking and skills.
Mathematical Statitics is a basic course with wide application, it mainly focuses on the analysis of randon sample and other data set, including how to effectively collect data, parameter estimation , hypothesis testing, linear model and statistical design. The purpose is to let the students to understand elementary ststistica concepts and ideas, to study the most commonly used statistical methods and to solve some practical problems, and to establish the way of statistical thinking.
Theory of Investment
The main content of course includes:(1)The Basics of Investments.(2) Security Markets and Trading.(3)Valuation of Non-fixed Income Securities.(4)Fixed Income Securities.(5)Derivative Securities.(6)Protfolios.(7)Manegement of Investment.(8)Merger ,Combination and Aquisition in Capital Market.(9)Investment Fund.
Marketing Management is designed to serve as an introduction to the theory and practice of marketing. Students will improve their ability to develop effective marketing strategies and assess market opportunities, as well as design strategy implementation programs. In addition, students will have the opportunity to communicate and defend their recommendations and build upon the recommendations of their peers. We will explore the theory and applications of marketing concepts through a mix of cases, discussions, lectures, guest speakers, individual assignments, and group projects. We will draw materials from a variety of sources and settings including services, consumer and business-to-business products.
Money and Finance
This lesson includes the contents as below:the introduction of Financial markets, interest rates, principle of Bank, Model of money supply, financial innovation, monetary policy and so on
This course will systematically study and discuss the basic concepts, basic principles and applications of financial derivatives. Students in the course will focus on learning forwards, futures, swaps, options and other derivatives, as well as the application of these financial derivatives in risk management practices.
This course introduces quantitative methods in investment and corporate finance, as well as the application and calculation of financial data. The first part focuses on quantitative investment method, including the predictability of stock return, CAPM model, investment strategy as well as event study. The second part focuses on empirical methods with financial data, including how to use SAS to do empirical tests and how to extract data from financial database.
Financial Risk Management
This course is designed to train the participants in evaluating and managing risks using an enterprise-wide approach. Most of the course deals with financial risks. The course starts with an analysis of how risk management contributes to firm value. A general framework for how to use risk management to create value is presented next. The course then examines the measurement and management of market risks, cash flow risks for non-financial firms, interest rate risks, credit risks, and operational risks. The course turns next to the implementation issues of enterprise-wide risk management, showing how to aggregate risks across the firm and how to use a firm-wide risk measure to make various corporate decisions and to evaluate performance within the firm. The course finishes with a discussion of recent issues in risk management. Students have to be comfortable with Excel, Black-Scholes, and the CAPM to attend successfully; if you are not comfortable with these tools, you should not take the course. Risk management problems for financial intermediaries as well as for firms outside the financial sector are also examined. Students will learn how to manage financial risks through lectures, exercises, and cases. A major component of the course is a four-part case that covers all aspects of integrated risk management. At the completion of that case, students will have measured firm-wide risk for a financial institution.
Fixed income securities
The course focuses on fixed income securities, pricing and risk management. Students will get a basic understanding of bond market, its pricing and risk management. Further, students will be able to combine theory with pratice.
Fundamentals and applications of Matlab
This course introduces the basic grammar of Matlab, various data visualization methods, how to create GUI, as well as the basic usage of Simulink. On this basis, the course describes the commonly used data processing, algorithm analysis and system simulation with Matlab.
"Domestic and global financial systems are comprised of a variety of interlinked institutions whose interactions create the form and structure of the financial system. These institutions range from central banks, commercial and investment banks, institutional investors, and financial markets for stock, bond and other assets to currency regimes, the global balance of payments, and fiscal and regulatory policies that affect monetary conditions. The main objective of this class is to help construct a conceptual framework of the financial markets for finance students and to ensure that they are able to develop for themselves a context in which to place their more specialized finance classes.
Taxation Law and Taxation Accounting
This course introduces the fundamental accounting procedures for determining tax liabilities for businesses.
This Course aims at guiding students to describing and modelling non-determinative iphenomenons mathematically, and provides chances for students to practice Set Theory,Calculus and Advanced Algebra.
This is an introductory course in financial econometric. We will discuss the basic analytic tools and their applications. The course focuses mainly on the linear model specification, Ordinary Least Square regression method, and limits of classical OLS method.
"This is a first class in Corporate Finance. This class involves the answers to three questions. First is the capital budgeting decision, which is about what long term investments should the firm take on. Second is the financing decision, which is about how can cash be raised for the required investment. Lastly, it examines short term finance and concern net working capital and discusses the way the firm manage its day-to-day cash and financial affairs. At the end of this course, students should be able to think analytically about portfolio selection, corporate decision making and asset pricing. These skills can also be used as personal financial decisions."