Videos

FDP Review of Prometric Test Center and ProProctor Remote Testing for the Q2-2023 Exam

We covered reading materials, study tools, preparation for exam day, the demo exam and a review of the testing options. FDP Candidates have two options for taking the FDP Exam:

Option 1: Prometric Test Center (April 10-23, 2023)
Option 2: Remote Proctor Testing: (April 23 & 24, 2023)

FDPI Senior Advisor, Hossein Kazemi and Project & General Operations Manager, Kim Durand shared how you can obtain your Financial Data Professional credential.

FDP Credential Information Session (Q2-2023 exam)

Learn more about the Financial Data Professional Charter. There's never been a more crucial time to stand out. The transformative effect of data science on the finance industry requires today's finance professionals to understand the application of big data, data mining, workflow automation and machine learning in investment decisions. Founder of Pearl Quest LLC, Kathryn Wilkens, PhD, CAIA, and Project & General Operations Manager, Kim Durand shared how you can obtain your Financial Data Professional credential.

CAIA Association & Teneo: Leadership Alpha in Private Equity

Leadership is the most important driver of company performance and, therefore, a fundamental component of Operational Alpha. Yet, despite leadership’s contribution to investment returns and the significant effort by private equity firms to articulate their value creation credentials, evidence suggests that GPs’ efforts to measure and optimise portfolio leadership are often unstructured and deprioritised – a paradox for an industry that is supposedly obsessed with, and paid for, performance.

Andrew Li Discusses Beyond the Black Box - Machine Learning for Equities

Developing reliable and intuitive interpretation is essential for the application of machine learning to investing. This presentation discussed a framework for decomposing any machine learning model into linear, nonlinear, and interaction effects that drive both prediction and performance. With a case study of predicting US large cap stock returns, this presentation showed how the "Model Fingerprint" tool enables practitioners to summarize key characteristics, similarities and differences among different models, thereby enhancing their understanding of the market.

Ernest Chan Discusses Corrective AI and Conditional Portfolio Optimization

Asset managers have struggled to apply machine learning to generate trading signals successfully. Instead, applying machine learning to determine the probability of profit of existing trading signals is very fruitful - this is Corrective AI. Taking this one step further, we developed Conditional Portfolio Optimization, a portfolio optimization technique that adapts to market regimes via machine learning. Applications on portfolios in vastly different markets suggest that CPO can outperform traditional optimization methods under varying market regimes.