Subject: FNCE

Term: Spring 2023

FNCE 403: Corporate Financial Technology (101/9596)

M 03:00-05:45 PM Jan 17-May 01

Harmon, G

This course is focused on the many aspects of the development in Financial Technology from recent notable successes to the current edge and thoughts about the future. Topics covered will include "FinTech" Applications, Incubators and Angels, Block Chains, Crypto-currencies, Crowdfunding, and Payment Schemes. Topics can change from semester to semester, in tune with changing technology. Offered as BAFI 403 and FNCE 403.

FNCE 403: Corporate Financial Technology (100/9600)

W 06:00-08:45 PM Jan 17-May 01

Harmon, G

This course is focused on the many aspects of the development in Financial Technology from recent notable successes to the current edge and thoughts about the future. Topics covered will include "FinTech" Applications, Incubators and Angels, Block Chains, Crypto-currencies, Crowdfunding, and Payment Schemes. Topics can change from semester to semester, in tune with changing technology. Offered as BAFI 403 and FNCE 403.

FNCE 412: Algorithmic Trading (100/12374)

R 11:30-02:15 PM Jan 17-May 01

Noh, J

Finding the right algorithm to automatically and successfully trade in financial markets is the holy grail in finance. Not too long ago, Algorithmic Trading was only available for institutional players with deep pockets and lots of assets under management. Recent developments in the areas of open source, open data, cloud computing and storage, as well as online trading platforms, have leveled the playing field for smaller institutions and individual traders - making it possible to get started in this fascinating discipline being equipped with a modern notebook and an Internet connection only. Coding experience required or consent of instructor required. This course aims to: - Trace the evolution of quantitative trading strategies and hedge funds - Expose students to the landscape of datasets (both Reference Data and Market Data) - Discuss univariate time series models and multivariate time series models - Introduce select advanced ideas such as volatility models and optimal execution algorithms - Evaluate the performance of these trading strategies - Provide a comprehensive overview of news analytics Offered as BTEC 412, FNCE 412, and FTEC 412.

FNCE 428: Financial Strategy and Value Creation (100/9604)

T 06:00-08:45 PM Jan 17-May 01

Fine, S

The intersection between the theory of perfect markets and the reality of market imperfections provides the basis for the exploration of value creation in this course. Opportunities in both product and financial markets are explored using case studies to develop a framework for strategic financial decisions.

FNCE 429: Investment Management (100/9692)

M 09:00-11:45 AM Jan 17-May 01

Noh, J

This course explores the characteristics of financial investments and markets and develops modern techniques of investment analysis and management. The goal is to help students develop a level of analytical skill and institutional knowledge sufficient to make sensible investment decisions. Topics include: an overview of stock, debt and derivative asset markets, practical applications of modern portfolio theory, equilibrium and arbitrage-based approaches to capital market pricing, the debate over market efficiency, the term structure of interest rates, bond portfolio management, and uses of derivative assets in investment portfolios.

FNCE 429: Investment Management (101/9693)

M 03:00-05:45 PM Jan 17-May 01

Noh, J

This course explores the characteristics of financial investments and markets and develops modern techniques of investment analysis and management. The goal is to help students develop a level of analytical skill and institutional knowledge sufficient to make sensible investment decisions. Topics include: an overview of stock, debt and derivative asset markets, practical applications of modern portfolio theory, equilibrium and arbitrage-based approaches to capital market pricing, the debate over market efficiency, the term structure of interest rates, bond portfolio management, and uses of derivative assets in investment portfolios.

FNCE 431: Fixed Income Markets and Their Derivatives (100/9696)

W 09:00-11:45 AM Jan 17-May 01

Bae, J

This class is concerned with fixed income securities, interest rate risk management, and credit risk. Fixed income securities account for about two thirds of the market value of all outstanding securities, and hence this topic is important. The course covers the basic products of fixed income markets including treasury and LIBOR products, such as interest rate swaps. Risk management and hedging strategies are covered as well as selected topics in credit risk models and mortgage-backed securities.

FNCE 431: Fixed Income Markets and Their Derivatives (101/9697)

W 12:00-02:45 PM Jan 17-May 01

Bae, J

This class is concerned with fixed income securities, interest rate risk management, and credit risk. Fixed income securities account for about two thirds of the market value of all outstanding securities, and hence this topic is important. The course covers the basic products of fixed income markets including treasury and LIBOR products, such as interest rate swaps. Risk management and hedging strategies are covered as well as selected topics in credit risk models and mortgage-backed securities.

FNCE 432: Corporate Risk Management (100/12081)

R 06:00-08:45 PM Jan 17-May 01

Martinez, E

This is a risk management course aimed at participants who wish to enhance their understanding of the risks faced by corporate firms, both financial and non-financial, learn techniques to identify and measure these risks, and understand how derivatives and risk management solutions can be used to manage these risks, create value, and advance the strategic goals of the firm. Offered as BAFI 432 and FNCE 432.

FNCE 433: Quantitative Risk Modeling (100/9698)

T 06:00-08:45 PM Jan 17-May 01

Ramachandran, L

This course is designed to help students learn quantitative models for estimating risk in various financial settings for different types of financial institutions (banks, hedge funds, and others). It is a very hands-on course where students will become familiar with several state-of-the-art quantitative risk models as well as their detailed implementation procedure in the real world. The course uses several in-class Excel exercises to illustrate the models as well as their practical implementation using real financial data. Offered as BAFI 433 and FNCE 433.

FNCE 433: Quantitative Risk Modeling (101/9699)

R 11:30-02:15 PM Jan 17-May 01

Ramachandran, L

This course is designed to help students learn quantitative models for estimating risk in various financial settings for different types of financial institutions (banks, hedge funds, and others). It is a very hands-on course where students will become familiar with several state-of-the-art quantitative risk models as well as their detailed implementation procedure in the real world. The course uses several in-class Excel exercises to illustrate the models as well as their practical implementation using real financial data. Offered as BAFI 433 and FNCE 433.

FNCE 436B: Individual, Team and Career Development (100/9736)

F 09:00-11:15 AM Jan 20-Jan 20, F 09:00-11:15 AM Feb 03-Feb 03, F 09:00-11:15 AM Mar 24-Mar 24, F 09:00-11:15 AM Apr 07-Apr 07

Olavarria Baeza, J; Vaidya, J

This course is designed to focus on three areas of development critical to students' personal and professional success: 1) Individual; 2) Team; and 3) Career. The individual and team aspects include developing self and other awareness through exploration of learning styles, process skills, and building communication and presentation competencies. Career development includes a focus on strategies for success such as networking, resume building, and learning from executives through intensive and interactive seminars. The course involves use of assessments, group discussions, presentations and experiential activities.

FNCE 436B: Individual, Team and Career Development (101/9737)

F 09:00-11:15 AM Jan 27-Jan 27, F 09:00-11:15 AM Feb 10-Feb 10, F 09:00-11:15 AM Mar 31-Mar 31, F 09:00-11:15 AM Apr 14-Apr 14

Olavarria Baeza, J; Vaidya, J

This course is designed to focus on three areas of development critical to students' personal and professional success: 1) Individual; 2) Team; and 3) Career. The individual and team aspects include developing self and other awareness through exploration of learning styles, process skills, and building communication and presentation competencies. Career development includes a focus on strategies for success such as networking, resume building, and learning from executives through intensive and interactive seminars. The course involves use of assessments, group discussions, presentations and experiential activities.

FNCE 436B: Individual, Team and Career Development (800/9748)

F 09:00-11:15 AM Jan 20-Jan 20, F 09:00-11:15 AM Feb 03-Feb 03, F 09:00-11:15 AM Mar 24-Mar 24, F 09:00-11:15 AM Apr 07-Apr 07

Olavarria Baeza, J; Vaidya, J

This class is asynchronous.

FNCE 436D: Individual, Team, and Career Development (800/9781)

Keeler, M

This course is designed to focus on three areas of development critical to a student's personal and professional success: individual, team, and career development. This will be accomplished through a project with a company so that students get a real-life experience related to their field of study. This experience provides students with the opportunity to explore their career interests while applying knowledge learned in the classroom in a real-life setting. The experience also helps students build their professional networks and be part of a team assigned to work on the corporate project.

FNCE 444: Entrepreneurial Finance (100/9732)

R 06:00-08:45 PM Jan 17-May 01

Goldberg, M; Stapleton, J

The objective of this course is to introduce students to the issues of financial management and capital formation in new ventures. The course will address issues of estimation of cash requirements, development of pro forma financial plans, firm valuation and the process and tools used in raising debt and equity financing. Bootstrapping, angel investing, venture capital, strategic alliances and initial public offerings will be covered. The emphasis is on the entrepreneur and how he/she can assess financial needs and develop a sensible plan for acquiring financial resources in a manner that is consistent with their financial needs and other strategic goals. Offered as BAFI 444 and FNCE 444.

FNCE 470: Financial Models Using Big Data (100/9700)

R 03:00-05:45 PM Jan 17-May 01

Bae, J

This course is focused on developing models in investments using financial big data. A strong theoretical base will be developed and then relevant empirical analyses using real data will be used for testing models, via individual assignments and group projects. In the projects, groups of students will be immersed in collecting, analyzing, and interpreting financial big data sets.

FNCE 480: Global Banking & Capital Markets (100/9702)

W 03:00-05:45 PM Jan 17-May 01

Balasubramanyan, L

This course will expose students to Banking and Capital Market Structure, Practices, and Regulations in North America, Europe, as well as Asia. Students will learn about structure of the financial services industry in different parts of the world, the history and evolution of the regulatory frameworks in this industry, and its consequent impact on financial and economic development as well as risk. Several case studies are used to expose students to different issues and questions that arise in the day-to-day jobs of financial managers in this industry. Offered as BAFI 480 and FNCE 480.

FNCE 494: Artificial Intelligence for Financial Modeling (100/9733)

F 11:30-02:15 PM Jan 17-May 01

Ramachandran, L

This is a hands-on course on Artificial Intelligence (A.I.) where the emphasis is not only on understanding the theoretical underpinnings of various AI models but also on building, evaluating, and critiquing A.I. models as they apply to the finance industry. This course begins with an introduction of Machine Learning models; various key ideas such as bias-variance tradeoff, cross-validation, regularization techniques are introduced with relevant examples from Finance. The course then proceeds to discuss Artificial Neural Networks and its relevance to Deep Learning. Foundational ideas such as back-propagation are discussed in sufficient detail; we also lay a lot of emphasis on evaluating the performance of all these models. A key objective of this course is help students build cutting-edge A.I. models that are ready for prime time, i.e., real-life applications. Fittingly, we work with several real-life datasets and case studies from banking and finance. We will work with three case studies, each of which span multiple sessions. -In the first case study, students use Machine Learning algorithms to understand how imbalanced datasets are handled in real-life. -In the second study, students use time series data and learn not only about the power of regularization techniques but also to highlight the prominence of A.I. in financial markets. -In the third case study, students learn how to use cutting-edge Deep Learning models to extract sentiments from disparate news sources; these are in turn used to generate trading strategies. By contrasting the effort that goes into and the payoff obtained from Machine Learning and Deep Learning models, students gain an intuitive appreciation of both these classes of models. Offered as BTEC 494, FNCE 494 and FTEC 494.

FNCE 494: Artificial Intelligence for Financial Modeling (101/9735)

W 06:00-08:45 PM Jan 17-May 01

Ramachandran, L

This is a hands-on course on Artificial Intelligence (A.I.) where the emphasis is not only on understanding the theoretical underpinnings of various AI models but also on building, evaluating, and critiquing A.I. models as they apply to the finance industry. This course begins with an introduction of Machine Learning models; various key ideas such as bias-variance tradeoff, cross-validation, regularization techniques are introduced with relevant examples from Finance. The course then proceeds to discuss Artificial Neural Networks and its relevance to Deep Learning. Foundational ideas such as back-propagation are discussed in sufficient detail; we also lay a lot of emphasis on evaluating the performance of all these models. A key objective of this course is help students build cutting-edge A.I. models that are ready for prime time, i.e., real-life applications. Fittingly, we work with several real-life datasets and case studies from banking and finance. We will work with three case studies, each of which span multiple sessions. -In the first case study, students use Machine Learning algorithms to understand how imbalanced datasets are handled in real-life. -In the second study, students use time series data and learn not only about the power of regularization techniques but also to highlight the prominence of A.I. in financial markets. -In the third case study, students learn how to use cutting-edge Deep Learning models to extract sentiments from disparate news sources; these are in turn used to generate trading strategies. By contrasting the effort that goes into and the payoff obtained from Machine Learning and Deep Learning models, students gain an intuitive appreciation of both these classes of models. Offered as BTEC 494, FNCE 494 and FTEC 494.