FIN6200 Financial Data Analysis and Practice
3 Credits
This course trains students how to use different data sets for research, how to develop appropriate financial memos and reports for various audiences, and provides some introduction to different aspects of the finance profession. At least four different datasets such as (but not limited to) CRSP, Compustat, Bloomberg, and Capital IQ will be introduced. Students will learn how to access and download data, analyze the data, create reports, and provide written and oral reports to different financial and non-financial audiences. In addition, students will be made aware of professional practices and standards in different financial professions to prepare students for rapid entry into the workplace.

For More Information:https://www.youtube.com/watch?v=eIX4FKDDkbI&feature=youtu.be

  • Program: Graduate
  • Division: Finance
  • Level: MSF Core (Grad)
  • Course Number: FIN6200
  • Number of Credits: 3

FIN3560 Financial Markets and Instruments

4 General Elective Credits

This course provides students with an understanding of many important financial instruments and the financial markets in which they trade. The topics covered include the major financial markets and their associated structures, quantitative techniques for valuing various financial securities and their cash flow streams, and factors affecting interest rates. This course also provides an introduction to derivatives and risk management. Topics include: instruments/markets, bond markets, equity markets, security firms and investment banks, issuing securities, organized exchanges, bond and stock valuation, interest rate determination (term structure), bond duration, foreign exchange, mortgages, risk management, an introduction to derivatives (including options, futures, and swaps), pay off profiles and an introduction to Black-Scholes.

Prerequisites: SME2021 or FIN2000

  • Program: Undergraduate
  • Division: Finance
  • Level: Advanced Elective (UGrad),Advanced Management (UGrad)
  • Course Number: FIN3560
  • Number of Credits: 4

ACC3510 Financial Planning and Cost Control
4 General Credits
Explore cost systems and control for operations in profit and nonprofit organizations, and
budgetary considerations and variance analysis, including their relation to fiscal planning and
administration.


Prerequisites: ACC 2002

  • Program: Undergraduate
  • Division: Accounting and Law
  • Level: Advanced Elective (UGrad),Advanced Management (UGrad)
  • Course Number: ACC3510
  • Number of Credits: 4

ACC7200 Financial Reporting

2 CreditsFinancial Reporting (FINACC) - Whether you are starting your own business, working in the not-for-profit sector, managing your personal finances, or working for a large corporation, you will need to be able to incorporate financial information into your decision making process. The purpose of this course is to review the concepts surrounding financial reporting and to emphasize the importance of being an informed user of financial information. Financial reports will also be analyzed across companies, industries, and countries, providing linkages to entrepreneurial and strategic decision making. The course also addresses the ethical responsibility managers have to carry out their fiduciary responsibility to all stakeholders of the company, including the growth in corporate social responsibility reporting and how companies are incorporating this information into their reports and websites.

  • Program: Graduate
  • Division: Accounting and Law
  • Course Number: ACC7200
  • Number of Credits: 2

ACC3502 Financial Reporting and Analysis
(Formerly Intermediate Accounting for Finance)
General Credit
Students who have taken ACC3500 and/or ACC3501 cannot take ACC3502

This course is especially designed for finance majors who want to become more proficient in the financial accounting skills necessary to effectively read and interpret financial reports. The course is recommended for students interested in careers in financial management and Wall Street. Topics such as inventory, deferred taxes, inter-corporate investments, and pensions will be explored through study of accounting principles, transaction analysis, financial statement disclosure, and through financial statement analysis as it applies to corporate finance, credit analysis, and aspects of investment banking.

Prerequisites: (SME2031 or ECN2002) and (SME2001 or ACC2002)

  • Program: Undergraduate
  • Division: Accounting and Law
  • Level: Advanced Elective (UGrad),Advanced Management (UGrad)
  • Course Number: ACC3502
  • Number of Credits: 4

QTM3625 Financial Modeling Using Simulation and Optimization with Applications to Finance, Marketing, and Management
4 Advanced Liberal Arts Credits
This course is an introduction to quantitative techniques that enable marketing, finance, and management professionals to make optimal decisions under uncertainty. While theoretical background for these techniques is provided, the focus is on their applications and mastering software that is widely used in industry, such as Excel, Solver, @RISK, and MATLAB. Topics include simulation of important probability distributions, bootstrapping, random walks, linear and nonlinear optimization. Lectures draw on examples such as asset allocation under different definitions of risk; index tracking; scenario approaches to project and portfolio management; hedging and arbitrage; and derivative pricing.

Prerequisites: QTM1010 or AQM2000

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: QTM3625
  • Number of Credits: 4

QTM9505 Financial Simulation
1.5 Intensive Elective Credits
This course focuses on a quantitative technique, simulation, that enables finance professionals to make informed decisions under uncertainty. After taking this course, students will:
(a) have a basic understanding of the theoretical background for this technique; (b) have experienced implementing simulation models with Excel, @RISK, and VBA; (c) have used simulation in important financial applications such as new product development, capital budgeting under uncertainty, asset allocation under different definitions of risk, modeling asset price dynamics, derivative pricing, and hedging.

Prerequisites: QTM7800

  • Program: Graduate
  • Division: Mathematics Analytics Science and Technology
  • Level: MSBA Elective (Grad),MSF Elective (Grad),Graduate Elective (Grad)
  • Course Number: QTM9505
  • Number of Credits: 3

ACC6600 Financial Sustainability & Performance Measurement
1.5 Credits (MSAEL Core)
In this course, you will develop the quantitative skills and logical analysis required to evaluate the financial feasibility of strategic opportunities such as entering new markets, pursuing new customers, or introducing new products or processes. You will learn the concept of "cost behavior" and how to conduct cost volume profit analysis, or CVP analysis. We will explore relevant costing and ways to use accounting data to analyze alternative courses of action and make better operating decisions. You will learn to build budgets and forecasts and address the question that everyone asks in an organization: "How are we doing?" Finally, you will be introduced to performance management frameworks and financial and non-financial metric development and analysis.

Prerequisites: MOB6600 and EPS6600

  • Program: Graduate
  • Division: Accounting and Law
  • Level: MSAEL (Grad)
  • Course Number: ACC6600
  • Number of Credits: 1.5

FIN4505 Financial Trading Strategies and Risk Management
4 General Credits
In this course, students learn to develop and implement institutional (firm-level) financial trading strategies. These strategies are guided by quantitative models that identify, quantify, and manage risks and expected return. In so doing, students learn how to make decisions in an uncertain environment. The course is based on an experiential learning approach, in which trading simulation software provides a platform for delivering learning-by-doing cases. Specific cases covered in the course include: agency trading; principal (liability) trading; algorithmic market making; managing risk capital with value-at-risk; transportation, storage, and production arbitrage in commodity futures markets; and agricultural hedging. The course also covers fundamental concepts in market microstructure, such as bid-ask spreads, price discovery, information asymmetry, liquidity, and inventory risk.

Prerequisites: SME2021 or FIN2000

  • Program: Undergraduate
  • Division: Finance
  • Level: Advanced Elective (UGrad),Advanced Management (UGrad)
  • Course Number: FIN4505
  • Number of Credits: 4

FIN7545 Financial Trading Strategies
3 Elective Credits
In this course, students learn to develop and implement institutional (firm-level) financial trading strategies. These strategies are guided by quantitative models that identify, quantify, and manage risks and expected return. In so doing, students learn how to make decisions in an uncertain environment. The course is based on an experiential learning approach, in which trading simulation software provides a platform for delivering learning-by-doing cases. Specific cases covered in the course include: agency trading; principal (liability) trading; algorithmic market making; managing risk capital with value-at-risk; transportation, storage, and production arbitrage in commodity futures markets; and agricultural hedging. The course also covers fundamental concepts in market microstructure, such as bid-ask spreads, price discovery, information asymmetry, liquidity, and inventory risk.

  • Program: Graduate
  • Division: Finance
  • Level: MSBA Elective (Grad),MSF Elective (Grad),Graduate Elective (Grad)
  • Course Number: FIN7545
  • Number of Credits: 3