In this project supervised by OQAM, the analysts Olivia Lahtinen, Behdad Nikfarjam, and Douglas Eklund explore whether machine learning techniques can uncover pricing inefficiencies in the Nordic covered bond market. Using a Random Forest model, they aim to predict movements in five-year Swedish covered bond yields.
In this report, analysts Lisa Landin, Samuel Lerjestad and Angelo Sun investigate whether there are ways for companies to optimise their foreign-currency management using FX swaps. Using FX swap pricing data, interest rates for each currency and synthetic account balances, they simulate the benefits of FX swaps in different scenarios and determine optimal transaction decisions.
In this project supervised by OQAM, the analysts Dag Palmstierna, Denis Zernov and Magnus Drøyvold explore the existence and predictability of overnight reversals in the European high-yield bond market. By using a Random Forest machine learning model, they were able to predict significant share of overnight reversals in the European high-yield bond market. This supports the hypothesis that such reversals are not only present in equities, but also extend to credit markets.
In this write-up, senior analyst Edvin Egnell recommend a long buy on Lundin Mining
(LUMI), a mid-tier copper-focused producer undergoing a strategic transformation into a
pure-play growth platform aligned with long-term electrification trends.
In this pitch deck, Axel Andersson and Marius Fischer present a buy recommendation on TransMedics, a disruptive medtech company redefining organ transplantation. The pitch won the inaugural Swedish University Pitch Competition of 2025 judged by Danske Bank.
In this write-up, senior analysts Linus Öberg looks at Deutsche Rohstoff AG (DRO), a €154m
German-listed upstream operator in the U.S Oil & Gas exploration and production (E&P) sector.
Despite robust fundamentals, a track record of accretive capital allocation and an exceptional
management team, the stock remains largely under the radar, trading at a significant discount to both
its peers and the intrinsic value of its reserves.
In this pitch deck, analysts Elias Hylander and Maria Sunrise provide an in-depth assessment of Fagerhult Group, a leader in professional lighting solutions with a strong focus on sustainability and innovation. Using a comprehensive valuation approach—incorporating DCF modeling, peer analysis, precedent transactions, and an LBO framework—they estimate Fagerhult’s enterprise value at SEK 11.2–15.3 billion. The following section outlines key assumptions behind this valuation and insights shaping the investment thesis.
In this pitch deck, analysts Marius Fischer, Colin Petersson, and Edvin Asplund present a comprehensive analysis of REV Group, the leading U.S. manufacturer of fire and emergency vehicles with a strong position in the RV market. Originating from a PE-backed bolt-on strategy, the company faces major operational inefficiencies and a supply/demand imbalance, positioning it for aggressive short-term margin expansion, supporting a 2-year IRR of 19% and a total upside of 42% in the base scenario.
In this pitch deck, analysts August Jörding, Emil Sköldberg, and Fredrik Sölveland provide a detailed analysis of Boot Barn, the largest Western and workwear retailer in the U.S. They highlight the company’s strong unit economics and consistent demand for western wear, justifying a target price of $234.2, reflecting a 50% upside through a DCF valuation.
In this pitch deck, analysts Erik Holst, Edvin Egnell, and David Apelryd present a detailed analysis of MGM Resorts International, highlighting its premium resort portfolio and growing BetMGM platform. Despite macroeconomic concerns, the team identifies an attractive entry point, supporting a target price of $56, reflecting a 75% upside and a three-year IRR of 29% through DCF and peer valuation methods.
