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Research Interests

Finance; Econometrics; Behavioural Finance

Recent Publications

Published Papers

Hwang, S., Rubesam, A. and Salmon, M. Beta Herding Through Overconfidence: A Behavioral Explanation of the Low-Beta Anomaly, Journal of International Money and Finance vol 111 (2021)
Funie, A-I., Grigoras, P., Burovskiy, P., Luk, W. and Salmon, M. Run-time Reconfigurable Acceleration for Genetic Programming Fitness Evaluation in Trading Strategies, Journal of Signal Processing Systems vol 90(1) (2018) pp. 39-52

Chapter in Book

Funie, A-I., Guo, L., Niu, X., Luk, W. and Salmon, M. Custom Framework for Run-Time Trading Strategies, (2017) in the book: Applied Reconfigurable Computing - Springer International Publishing
Kurek, M., Becker, T., Guo, C., Denholm, S., Funie, A-I., Salmon, M., Todman, T. and Luk, W. Self-aware Hardware Acceleration of Financial Applications on a Heterogeneous Cluster, (2016) in the book: Self-aware Computing Systems: An Engineering Approach - Springer International Publishing
Nolte, I. and Salmon, M. Introduction, (2014) in the book: High frequency trading and limit order book dynamics - Routledge

Edited Books

Nolte, I. and Salmon, M. High frequency trading and limit order book dynamics, (2014) - Routledge

Conference Publication

Cross, A.-I., Luk, W. Guo,- L. and Salmon, M. CJS: Custom Jacobi solver, (2018) 9th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, Toronto, Canada
Cross, A.-I., Guo, L., Luk, W. and Salmon, M. CRRS: Custom regression and regularisation solver for large-scale linear systems, (2018) 28th International Conference on Field-Programmable Logic and Applications, Dublin, Ireland
Funie, A-I., Grigoras, P., Burovskiy, P., Luk, W. and Salmon, M. Reconfigurable acceleration of fitness evaluation in trading strategies, (2015) IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP), Toronto, ON, Canada
Funie, A-I., Salmon, M. and Luk, W. A Hybrid Genetic-Programming Swarm-Optimisation Approach for Examining the Nature and Stability of High Frequency Trading Strategies, (2014) 13th International Conference on Machine Learning and Applications, IEEE, Detroit, MI, USA


MPhil F540 - Topics in Applied Asset Management

Professor Mark Salmon

Distinguished Affiliated Professor

Research Group:

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Contact Details
Room: 85
Office Hours: By appointment