Assess the actions of investors and corporations with regard to environmental, social, and governance policies, including the potential motivations and resulting consequences.

Explore the evaluation and financing of energy investments with a focus on upstream oil and gas projects. Develop financial modeling skills from detailed discounted cash flow models to advanced option pricing models using various computational approaches.

Use of economic concepts and models to make strategic business decisions (adverse selection, game theory, price discrimination, strategic commitment, barriers to entry, network effects). Economics of strategic responses to the legal environment (regulations, antitrust policies, intellectual property, fiduciary duty, liability).

Introduction to basic concepts of personal wealth management and financial planning, including insurance and risk management, investment management, tax planning, estate planning, and retirement planning. Designed for upper-level finance and accounting majors interested in a career in financial services or students pursuing master in professional accounting with interest in this area of the accounting profession.

Examine the economic, statistical, and computing frameworks behind quantitative approaches to evaluating and implementing investment strategies, as well as the empirical evidence on their performance in multiple asset classes. Apply the quantitative big-data approach by developing, pitching, and backtesting an original trading strategy.

Explore an overview of the most recent technological advances that are changing the financial services industry and how these technological breakthroughs offer new ways for people to save, invest, borrow, and transact. Analyze how new technologies create value in the financial industry, from reducing unit cost, increasing transparency, increasing competition, creating network effects, leveraging economies of scales, and lowering asymmetric information. Examine the competitive landscape and the market opportunities and threats for incumbents and new entrants.

Explore quantitative methods and techniques in optimization and simulation, and their use in financial decision making. Discuss theory and application in portfolio selection, options and other derivative pricing, index tracking, risk measures, volatility estimating. Examine linear, quadratic, nonlinear, and integer programming; dynamic programming; robust optimization; Monte Carlo methods and variance reduction techniques. Emphasis will be placed on problem solving with advanced computational programming languages.

Focuses on using a financial economics perspective to understand how sustainability issues are considered by corporate managers, investors, and other participants in financial markets. Examine how environmental, social, governance, strategy and other issues affect manager and investor decisions from financial perspectives, particularly the risk and return aspects, including how to measure sustainability risk exposures. Discuss how these issues are considered from a nonfinancial perspective such as sustainable and responsible investing, ethical investing and impact investing.