Download PDF Introduction For the first time in decades, the private equity industry is experiencing a genuine contraction. According to Bain & Co., total buyout assets under management fell by 2% in the year to June 2024, settling at $4.7tn Read more…
Download PDF Introduction Momentum has long proven to be a reliable and empirically supported factor in equity strategies across developed markets (DM). Seminal work by Jegadeesh and Titman (1993) found that stocks with strong past returns over a 3–12 month Read more…
Download PDF Introduction The U.S. housing finance system revolves heavily around government-sponsored enterprises (GSEs), and historically implicit and now explicit government guarantees through Fannie Mae [OTCMKTS: FNMA] and Freddie Mac [OTCMKTS: FMCC]. These entities have historically stabilized and facilitated mortgage Read more…
Download PDF USA Major US equity indices staged a dramatic rebound this week, reversing much of the prior week’s steep losses triggered by tariff fears. The S&P 500 rose 7.82%, the Dow Jones gained 7.59%, and the Nasdaq outperformed with Read more…
Download PDF Introduction In this article, we explore how optimising entry and exit points can improve the performance of mean reversion strategies, specifically within a purchasing power parity (PPP) framework. We address this optimisation challenge, by exploring two complementary approaches: Read more…
Download PDF Introduction Last year, we discussed how surging demand for data storage and processing – driven by streaming, e-commerce, and AI—propelled record investments in server infrastructure worldwide. There existed a large FOMO surrounding Data Centres and AI. Currently, with Read more…
Download PDF USA The major US equity indices ended the week with sharp declines on Friday, suffering their most significant losses since the 2020 COVID-19 crisis, as a consequence of the new US tariffs announced on Wednesday, which exacerbated investor Read more…
Download PDF Introduction Short-rate martingale models were among the first approaches to the modelling of interest rate term structures, providing a flexible framework for pricing fixed-income securities and interest rate derivatives. These models describe the evolution of the continuous short Read more…
Download PDF Intro The race to become the leading Electric Vehicle (EV) producer has just shifted into the next gear with the introduction of newer and faster charging systems. The race is now not only about range but also about Read more…
Download PDF Introduction After two years of limited activity due to uncertainty surrounding interest rate policies, large valuation gaps, and geopolitical tensions, the leveraged finance market saw a major recovery in 2024, marking its busiest year since 2021. The combined Read more…
Download PDF Introduction In today’s fast-evolving mergers and acquisitions landscape, a hidden battleground is emerging—one where minority shareholders can challenge the terms of a merger and potentially unlock significant hidden value. This arena is defined by appraisal rights, a legal Read more…
Download PDF Introduction Trading strategies revolve around several sources of edge, ranging from discretionary macro ideas, fundamental based stock picking to more sophisticated ones such as factors exposure or high-frequency algorithms. One area which the current literature pays little attention Read more…
Download PDF Introduction Generative AI has gone mainstream at a blistering pace worldwide. OpenAI’s ChatGPT, launched in late 2022, reached 100m users in just two months and was valued at around $29bn by January 2023. Now, on the verge of Read more…
Download PDF Introduction/Recap: This article is intended to be a continuation of the previous “Well, CAN THEY PREDICT?” article which was focused upon developing methodology to price Kalshi weekly prediction contract probabilities of being in-the-money (specifically those functioning as a Read more…
Download PDF Introduction In this article, we determine whether recurrent neural networks can unlock any meaningful predictive power from a given feature set in forecasting corporate bond returns – or if the data is too noisy to yield reliable predictions. Read more…