معرفی
Magnus Hansson is an Assistant Professor at Stockholm School of Economics (visiting from Stockholm University) and an affiliate researcher at the Swedish House of Finance. He holds a PhD in Economics from the University of Gothenburg and has industry experience in machine learning and data science.
His research focuses on the intersection of blockchain technology, decentralized finance (DeFi), and financial economics. Notable areas include market microstructure analysis, algorithmic trading dynamics, and the application of machine learning to financial systems. He also explores sustainable finance and real estate finance.
Magnus teaches courses such as Research Frontiers in Financial Economics, covering blockchain technology, DeFi, and market microstructure. His lectures emphasize practical applications of distributed ledger technologies and their implications for traditional financial systems.
His publications include influential works on DeFi price impact modeling, arbitrage in crypto markets, and LSTM-based stock return prediction. While no formal awards are listed, his work has contributed significantly to understanding decentralized financial systems and blockchain's role in modern economics.
