FIN 580

Spring 2021 All Classes

All Classes

Special Topics in Finance

SHOW FINAL EXAM SCHEDULE

Credit: 0 TO 4 hours.

Lectures and discussions relating to new areas of interest. See class schedule for topics and prerequisites.

0 to 4 graduate hours. No professional credit. Approved for Letter and S/U grading. May be repeated to a maximum of 18 hours in a semester; may be repeated to a maximum of 32 hours in subsequent semesters. Credit is not given for FIN 528 and FIN 580 (66393), Section ADF. Prerequisite: Varies by section.

My Favorites

My Schedule

Section Status updates every 10 minutes.

FIN 580 class schedule data for spring 2021
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
46818	Online	A1	3:00PM -5:30PM	R	n.a.	Peterson, B	Part of Term: A Date Range: 01/25/21-03/19/21 Credit: 2 hours Section Title: Basics of Trading Alg. Design Section Info: Basics of Trading Algorithm Design. Course is open to City Scholars. Basics of Trading Algorithm Design will focus on the structure of quantitative strategies, and on the different types of strategies used in production by trading firms and asset managers. The second half of the semester, Deeper Analysis of Algorithm Testing, will focus on more advanced techniques for model evaluation, feature engineering, and using modern methods such as machine learning, as well as practical application of these skills to strategy building. This course will provide a detailed research process and tools for assessing, conceptualizing, replicating, and developing systematic trading strategies. Students will apply their knowledge in hands-on projects to replicate and evaluate existing research and to create and evaluate a new strategy model. Development of systematic trading strategies should follow a highly scientific and repeatable process. This course will start by reviewing categories of systematic strategies, drawing out patterns followed throughout the industry. Restriction(s): Restricted to MS: Financial Engineering or MS: Finance Cost Rec - UIUC. Not intended for Intl Exchange - Grad students.
46819	Online	A2	3:00PM -5:30PM	R	n.a.	Peterson, B	Part of Term: B Date Range: 03/22/21-05/05/21 Credit: 2 hours Section Title: Analysis Testing Trading Alg. Section Info: Analysis and Testing of Trading Algorithms. Course is open to City Scholars. Basics of Trading Algorithm Design, during the first half of the semester, focused on the structure of quantitative strategies, and on the different types of strategies used in production by trading firms and asset managers. Deeper Analysis of Algorithm Testing will focus on more advanced techniques for model evaluation, feature engineering, and using modern methods such as machine learning, as well as practical application of these skills to strategy building This course will provide a detailed research process and tools for assessing, conceptualizing, replicating, and developing systematic trading strategies. Students will apply their knowledge in hands-on projects to replicate and evaluate existing research and to create and evaluate a new strategy model. Development of systematic trading strategies should follow a highly scientific and repeatable process. This course will start by reviewing categories of systematic strategies, drawing out patterns followed throughout the industry. Restriction(s): Restricted to MS: Financial Engineering or MS: Finance Cost Rec - UIUC. Not intended for Intl Exchange - Grad students.
65773	Online	CF	12:30PM -1:50PM	MW	n.a.	Smith, M	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: Corporate Finance Section Info: . Restriction(s): Restricted to MS: Finance - UIUC, MS:Finance -UIUC, MS: Finance Cost Rec -UIUC, or MS: Finance Cost Rec - UIUC.
66090	Online	CSQ	ARRANGED	n.a.	n.a.	Lariviere, D	Date Range: 01/04/21-01/15/21 Section Title: Computer Science for Quants Section Info: Virtually all aspects of modern finance are now heavily reliant on both technology and computer science. Software engineering has become an increasingly useful and often even essential skill and discipline for those intending to work in the financial industry. This two week course is intended to offer advanced students an ultra accelerated deep-dive into many of the essential aspects, both academic and professional, of computer science and software development to the students of the MSFE and MSF programs. The underlying motivation of this course is to provide students from non-CS backgrounds with the additional exposure, knowledge, and skills often required in order to secure employment in the financial industry in roles requiring or substantially benefiting from software development or data analytics. Topics covered will include the most important aspects of a variety of topics, including: core foundational aspects of computer science (data structures and algorithms, discrete math, boolean logic and algebra, scientific computation, computer architecture, computer networking, operating systems, programming languages and compilers, and databases), professional software developer tools and best practices (object-oriented programming, various IDEs and software debugging methods, unit and integration testing, version control systems, continuous integration, bug tracking, project management, devops, and software design patterns) and various continuing high demand topics and skills in industry (Big Data, AI/ML, cloud computing and virtualization, enterprise system architecture, computer security, and high availability and fault-tolerant design). Restriction(s): Restricted to Graduate - Urbana-Champaign.
56946	Online	DB	2:00PM -3:20PM	MW	n.a.	Brown, D	Part of Term: B Date Range: 03/22/21-05/05/21 Credit: 2 hours Section Title: Social Impact Investing Section Info: Social impact investing may be described as a bridge between two well-established disciplines, private equity and philanthropy. Like philanthropy, impact investing is driven by an intention to create a positive societal or environmental change in its investment sphere. Incorporating process methods of the private equity model, we will review direct investment strategies and consider various ways to leverage capital markets as part of mission-driven efforts. This course considers the perspective of both investor and manager/entrepreneur in seeking paths for solving intractable societal problems while generating financial return. Restriction(s): Restricted to Graduate - Urbana-Champaign.
69358	Online	ETA	6:00PM -7:20PM	MW	n.a.	Smith, M	Part of Term: B Date Range: 03/22/21-05/05/21 Credit: 2 hours Section Title: Entrepreneurship Thru Acquistn Section Info: Entrepreneurship Through Acquisition (ETA) is the exciting career path where business professionals buy and grow existing small businesses. For individuals with business skills and a desire to make a meaningful impact, this path is significantly less risky than starting new businesses around unproven product or service ideas. The course will introduce ETA and cover how to search for, value, finance, and grow small business acquisitions. Invited speakers include entrepreneurs and acquisition professionals. No prior background in finance is required. Restriction(s): Restricted to Graduate - Urbana-Champaign.
60175	Online	G1	12:30PM -1:50PM	TR	n.a.	Gao, X	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: Financial Data Mgt. & Analysis Section Info: Financial Data Management and Analysis. Proper data handling and management is essential to the success of data analysis. The primary goal of this course is to learn principles and practices of data management with an emphasis on working with financial databases. Students will gain practical skills in data storage, data preparation, and data extractions that eventually lead to data analysis. Data management procedures including SQL queries, and data analysis techniques using large-scale statistical software are presented. Restriction(s): Restricted to MS:Finance -UIUC, MS: Finance Cost Rec -UIUC, MS: Finance - UIUC, or MS: Finance Cost Rec - UIUC.
60176	Online	G2	9:30AM -10:50AM	F	n.a.	Gao, X	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 2 hours Section Title: Data Science & Python for Fin. Section Info: The financial industry is increasingly adopting Python. Libraries such as NumPy and pandas provide extraordinary insights into data analysis. This course focuses specifically on introducing Python for financial analysis. The first part of the course provides a detailed understanding of Python basics. Data structures, numerical computing with NumPy, and data analysis with pandas will be explained. The second part applies Python in solving problems in corporate finance and performing investment analysis. Making capital budgeting decisions, valuing securities with pricing models, measuring risk and returns, and optimizing portfolios will be discussed. Restriction(s): Restricted to MS:Finance -UIUC, MS: Finance Cost Rec -UIUC, MS: Finance - UIUC, or MS: Finance Cost Rec - UIUC.
62533	Lecture-Discussion	GCF	12:30PM -1:50PM	TR	2057 Business Instructional Fac	Sholem, D	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: Growth Corp Capital Funding Section Info: This section meets in-person and will have distributed attendance. You will receive an email from your instructor with specific attendance instructions. Restriction(s): Restricted to MS:Finance -UIUC, MS: Finance Cost Rec -UIUC, MS: Finance - UIUC, MS: Finance Cost Rec - UIUC, or MBA:Bus Administration -UIUC.
57527	Lecture-Discussion	GR1	12:30PM -1:50PM	TR	1029C Business Instructional Fac	Excell, R	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: Derivative Strategies Section Info: Application of Derivative Strategies is designed to build upon the basic options knowledge you will have gained in FIN 412 where you are introduced to options and futures markets, and Financial Derivatives in FIN 512. We will start slowly by discussing some simple trading strategies that are used by institutional and retail accounts alike. We will move from there to discuss volatility trading looking not only at the CBOE VIX product but also at OTC variance swaps. Finally, by the end of the semester, we will be discussing the most topical options and derivatives structures such as risk parity, risk premia capture, alternative risk premia and volatility targeting. Prerequisite Course: FIN 512 or approval from instructor. This section meets in-person and will have distributed attendance. You will receive an email from your instructor with specific attendance instructions. Restriction(s): Restricted to Graduate - Urbana-Champaign. Restricted to MS:Finance -UIUC, MS: Finance Cost Rec -UIUC, MS: Finance - UIUC, or MS: Finance Cost Rec - UIUC.
68115	Online	GRX	12:30PM -1:50PM	TR	n.a.	Excell, R	Part of Term: 1 Date Range: 01/25/21-05/05/21 Special Approval: Departmental Approval Required Credit: 4 hours Section Title: Derivative Strategies Section Info: THIS SECTION IS ONLY FOR STUDENTS REGISTERED IN-ABSENTIA. Application of Derivative Strategies is designed to build upon the basic options knowledge you will have gained in FIN 412 where you are introduced to options and futures markets, and Financial Derivatives in FIN 512. We will start slowly by discussing some simple trading strategies that are used by institutional and retail accounts alike. We will move from there to discuss volatility trading looking not only at the CBOE VIX product but also at OTC variance swaps. Finally, by the end of the semester, we will be discussing the most topical options and derivatives structures such as risk parity, risk premia capture, alternative risk premia and volatility targeting. Prerequisite Course: FIN 512 or approval from instructor. This section meets in-person and will have distributed attendance. You will receive an email from your instructor with specific attendance instructions. Restriction(s): Restricted to MS: Finance - UIUC, MS:Finance -UIUC, MS: Finance Cost Rec -UIUC, or MS: Finance Cost Rec - UIUC.
69355	Online	IMB	ARRANGED	n.a.	n.a.	Almeida, H Spencer, X	Date Range: 01/13/21-03/09/21 Credit: 4 hours Section Title: Corporate Finance I & II Section Info: Registration in this section is restricted to students admitted to the iMBA degree program Restriction(s): Restricted to MS:Accountancy Online -UIUC, MBA: (PT) Business Adm -- UIUC, or MBA: iMBA Online -UIUC.
66148	Practice	INT	ARRANGED	n.a.	Location Pending	Widdicks, M	Part of Term: 1 Date Range: 01/25/21-05/05/21 Special Approval: Departmental Approval Required Section Title: Internship
59305	Online	JOR	8:00AM -9:20AM	F	n.a.	Gao, X	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 2 hours Section Title: Adv. Data Sci & Python for Fin Section Info: Advanced Data Science & Python. This advanced course in Python and data science will cover concepts such as 1. Advanced data cleaning and preparation, regular expressions, text and sentiment extraction. 2.Pandas working with large datasets and best practices (adv cleaning, merge, shape, etc). 3.Fundamentals of Web scrapping and extracting data from APIs. 4.Working with DateTime types and time series data. Restriction(s): Restricted to MS:Finance -UIUC, MS: Finance Cost Rec -UIUC, MS: Finance - UIUC, or MS: Finance Cost Rec - UIUC.
69356	Online	ONL	ARRANGED	n.a.	n.a.	Almeida, H Spencer, X	Date Range: 01/13/21-03/09/21 Credit: 4 hours Section Title: Corporate Finance I & II Section Info: Registration in this section is restricted to students who have earned a Bachelors Degree. Restriction(s): Restricted to NDEG: iMBA Online - UIUC, NDEG:Accountancy Online -UIUC, NDEG: iMBA Online - UIUC, or NDEG:Accountancy Online -UIUC.
47517	Seminar	PHD	11:30AM -12:50PM	F	2011 Business Instructional Fac	Kiku, D	Part of Term: 1 Date Range: 01/25/21-05/05/21 Section Title: Finance Doctoral Seminar Section Info: Seminar for Finance Doctoral Students. This CRN to be used for students not presenting a paper during the semester. Other students must receive consent of instructor to register. This section meets in-person and will have distributed attendance. You will receive an email from your instructor with specific attendance instructions Restriction(s): Restricted to PHD:Finance -UIUC or PHD: Finance - UIUC.
69623	Online	QI2	9:30AM -12:20PM	F	n.a.	Zhang, Q	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: Quantamental Investment Restriction(s): Restricted to NDEG:Finance - UIUC, MS: Financial Engineering, or MS: Finance Cost Rec - UIUC.
69431	Online	RE2	3:30PM -6:20PM	W	n.a.	Briggs, S	Part of Term: B Date Range: 03/22/21-05/05/21 Credit: 2 hours Section Title: Adv. Real Estate Invest. Cases Section Info: Advanced Cases in Real Estate Investment will explore progressively more complex real estate investments and concepts using case studies including ownership and financing structures, distribution waterfalls and asset management challenges. Students will review, analyze, consider, recommend, and deliver their findings. 2 undergraduate hours. 3 graduate hours. Prerequisite: FIN 241, FIN 445, or consent of the instructor. Restriction(s): Restricted to Graduate - Urbana-Champaign.
46904	Seminar	SEM	11:30AM -12:50PM	F	2011 Business Instructional Fac	Kiku, D	Part of Term: 1 Date Range: 01/25/21-05/05/21 Section Title: Finance Doctoral Seminar Section Info: Seminar for Finance Doctoral Students. This CRN to be used for students who will be presenting a paper during the semester. Other students must receive consent of instructor to register.This section meets in-person and will have distributed attendance. You will receive an email from your instructor with specific attendance instructions Restriction(s): Restricted to PHD:Finance -UIUC or PHD: Finance - UIUC.
67579	Online	XW1	12:30PM -1:50PM	MW	n.a.	Brown, D	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: Advanced Topics in Wealth Mgt Section Info: Advanced Topics in Wealth Management explores advanced topics and ‘best practices’ in the proper administration of wealth. It considers issues and opportunities presented to individuals as they approach ‘high net worth’ status. In addition to strategic use of life insurance, we’ll discuss the transfer tax system as a driver of strategic wealth planning. Budding entrepreneurs will find our work with business succession planning and legacy planning to be invaluable. Asset protection and charitable planning are other key topics addressed. Through a combination of lecture, active classroom discussion, and group exercises, we will focus on the practical application of these concepts and consider what it means to create and sustain generational wealth. Restriction(s): Restricted to MS:Finance -UIUC, MS: Finance Cost Rec -UIUC, MS: Finance - UIUC, or MS: Finance Cost Rec - UIUC.