In February 2018, the VIX index has seen its largest ever increase and has lead to significant losses for some major volatility-related products. Despite many efforts, the precise underlying reasons are yet to be discovered. We study the role of linear causality in the VIX index and its...

This course on "The Art of Portfolio Management" explores the intersection of finance, mathematics, business, computer science, and economics in the context of portfolio management. The course is designed to provide the audience with a comprehensive understanding of the theoretical foundations,...

This article exclusively formulates and presents three innovative hypotheses related to the execution of share buybacks, employing Genetic Algorithms (GAs) and mathematical optimization techniques. Drawing on the foundational contributions of scholars such as Osterrieder, Seigne, Masters, and...

This white paper explores the construction of a reliable Environmental, Social, and Governance (ESG) scoring engine, with a focus on the importance of data sources and quality, selection of ESG indicators, weighting and aggregation methodologies, and the necessary validation and benchmarking...

Deep reinforcement learning (DRL) is a powerful and emerging technique for solving complex decision-making problems by learning from experience and interaction with an environment. In the field of finance, DRL has the potential to revolutionize the way we optimize portfolios, manage risk, and...

Narrative Finance is a relatively new field that aims to understand the narratives that shape financial markets and how these narratives influence market outcomes. This primer provides a comprehensive overview of the key concepts and terminologies, the history of Narrative Finance, the role of...

Blockchain technology is a distributed ledger system that allows multiple parties to record and verify transactions in a secure and transparent manner. However, blockchain networks are vulnerable to anomalies and frauds that can have serious consequences for the integrity and security of these...

This primer is an introduction to time series analysis using the R programming language. Time series analysis is a technique used to analyze and forecast data that is collected over time, and is widely used in fields such as finance, economics, and meteorology. Time series data can be...

This primer provides a comprehensive overview of the applications of Artificial Intelligence (AI) and Machine Learning (ML) in the financial services industry. It covers the various use cases of AI and ML, including fraud detection, customer behavior analysis, loan underwriting, investment...

Natural language processing (NLP) is a technical and quantitative field that involves the use of computer algorithms and techniques to analyze, understand, and generate human language. NLP has many applications and benefits in finance, such as the ability to analyze sentiment and extract...