LINC

In this project, analysts Carl Nordahl, Alexander Ihrfelt and Alfred Hultgren investigate whether crypto prediction market contracts can be valued using traditional derivatives pricing methods. Focusing on Polymarket contracts tied to the question “What price will Bitcoin hit in 2025?“, they model the contracts as one-touch barrier options and compare a closed-form approximation with a Monte Carlo framework using EWMA volatility and jump-diffusion dynamics.

In this project, supervised by AP3, analysts Alexander Nilsson, Peder Persson, and Samuel Eriksson investigate whether Mean-Variance Optimization (MVO) can be enhanced by shrinking the off-diagonal elements of the covariance matrix. Utilizing a 20-year dataset, they backtest models incorporating spectral filtering and shrinkage techniques to assess the robustness and practical feasibility of the optimization process.

In this project, supervised by SEB, analysts Ludvig Cederlund, Sofie Melander and Malcolm Cederbaum investigate how the EUR/SEK exchange rate can be predicted using market data along with proprietary trade data from SEB. Utilizing the XGBoost model, they work on a 10-minute frequency to perform binary classification of short-term price direction.