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The Performance & Risk Analytics Group (PRAG) brings together investment performance measurement & investment risk management professionals engaged in the asset management industry.
The Value Investing Group provides a forum for the application and modification of Benjamin Graham's principles as well as for other value investment approaches. The group’s focus is on organizing both one-off as well as regular events such as the bi-monthly value investment round-table, the annual Ben Graham conference and the value investing workshop.
The Quantitative Investing Group brings together professionals seeking to incorporate cutting edge quantitative investment techniques and alternative data sets in their investing and risk processes.
This program will explore through the perspective of a user, a preparer, and a standard-setter whether the new Current Expected Credit Loss (CECL) accounting rule that replaced the incurred loss method (ILM) was worth the cost of implementation. The objective behind CECL was to make the accounting for credit losses more proactive than it was on the eve of the global financial crisis under ILM where banks were limited to providing only for losses that were estimable and probable.
The CFA Society New York Investment Strategy Roundtable (the Roundtable) is a series of monthly meetings on current events and market insights. Driven by the diversity of its participants’ expertise and led by volunteer presenters, the Roundtable fosters an open discussion between members on their views and focuses.
The Business Management Group will focus on the non-portfolio management issues that typically confront the COO and other leaders within a money management firm, such as how to successfully launch and operate a business. A key goal of BMIG’s will be to understand the business and other risks associated with running a money management, while serving as a bridge between the “buy” and “sell” sides.
This hands-on introductory course teaches students foundational Python concepts and how to use Python’s popular libraries to complete various technical tasks. Students are presented with Python coding challenges throughout the day to test their understanding of the material. The course culminates with a challenging in-class coding project where students apply concepts taught in the course to create a game.
The amount of data available to organizations and individuals is unprecedented. Financial services sectors, including securities & investment services and banking, have the most digital data stored per firm on average.
Strong data culture is a sine qua non for effective organizations in the digital age, and proprietary data insights are increasingly becoming the most important asset such organizations can accrue.
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