IDEAS home Printed from https://ideas.repec.org/d/fcucluk.html
 

Publications

by members of

Financial Computing and Analytics Group
University College London (UCL)
London, United Kingdom

These are publications listed in RePEc written by members of the above institution who are registered with the RePEc Author Service. Thus this compiles the works all those currently affiliated with this institution, not those affilated at the time of publication. List of registered members. Register yourself. Citation analysis. This page is updated in the first days of each month.
| Working papers | Journal articles | Books |

Working papers

2023

  1. Luca Mungo & Silvia Bartolucci & Laura Alessandretti, 2023. "Cryptocurrency co-investment network: token returns reflect investment patterns," Papers 2301.02027, arXiv.org, revised Jan 2023.
  2. Silvia Bartolucci & Fabio Caccioli & Francesco Caravelli & Pierpaolo Vivo, 2023. "Correlation between upstreamness and downstreamness in random global value chains," Papers 2303.06603, arXiv.org, revised Feb 2024.

2022

  1. Gabriel Borrageiro & Nick Firoozye & Paolo Barucca, 2022. "The Recurrent Reinforcement Learning Crypto Agent," Papers 2201.04699, arXiv.org, revised May 2022.
  2. Nikan Firoozye & Vincent Tan & Stefan Zohren, 2022. "Canonical Portfolios: Optimal Asset and Signal Combination," Papers 2202.10817, arXiv.org, revised Jul 2023.
  3. Béatrice BOULU-RESHEF & Catherine BRUNEAU & Maxime NICOLAS & Thomas RENAULT, 2022. "An Experimental Analysis of Investor Sentiment," LEO Working Papers / DR LEO 2940, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.

2021

  1. Gabriel Borrageiro & Nick Firoozye & Paolo Barucca, 2021. "Online Learning with Radial Basis Function Networks," Papers 2103.08414, arXiv.org, revised Oct 2022.
  2. Gabriel Borrageiro & Nick Firoozye & Paolo Barucca, 2021. "Reinforcement Learning for Systematic FX Trading," Papers 2110.04745, arXiv.org, revised May 2022.
  3. Carolyn E. Phelan & Daniele Marazzina & Guido Germano, 2021. "Pricing methods for $\alpha$-quantile and perpetual early exercise options based on Spitzer identities," Papers 2106.06030, arXiv.org.
  4. Marco Ortu & Nicola Uras & Claudio Conversano & Giuseppe Destefanis & Silvia Bartolucci, 2021. "On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning," Papers 2102.08189, arXiv.org, revised Feb 2021.

2020

  1. Adriano Koshiyama & Sebastian Flennerhag & Stefano B. Blumberg & Nick Firoozye & Philip Treleaven, 2020. "QuantNet: Transferring Learning Across Systematic Trading Strategies," Papers 2004.03445, arXiv.org, revised Jun 2020.
  2. Kapar, Burcu & Iori, Giulia & Gabbi, Giampaolo & Germano, Guido, 2020. "Market microstructure, banks' behaviour and interbank spreads: evidence after the crisis," LSE Research Online Documents on Economics 100467, London School of Economics and Political Science, LSE Library.
  3. Sariev, Eduard & Germano, Guido, 2020. "Bayesian regularized artificial neural networks for the estimation of the probability of default," LSE Research Online Documents on Economics 101029, London School of Economics and Political Science, LSE Library.
  4. Phelan, C. E. & Marazzina, D. & Germano, G., 2020. "Pricing methods for α-quantile and perpetual early exercise options based on Spitzer identities," LSE Research Online Documents on Economics 103780, London School of Economics and Political Science, LSE Library.
  5. Silvia Bartolucci & Fabio Caccioli & Francesco Caravelli & Pierpaolo Vivo, 2020. "Upstreamness and downstreamness in input-output analysis from local and aggregate information," Papers 2009.06350, arXiv.org, revised Feb 2024.

2019

  1. Adriano Koshiyama & Nick Firoozye & Philip Treleaven, 2019. "Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination," Papers 1901.01751, arXiv.org, revised Mar 2019.
  2. Adriano Koshiyama & Nick Firoozye, 2019. "Avoiding Backtesting Overfitting by Covariance-Penalties: an empirical investigation of the ordinary and total least squares cases," Papers 1905.05023, arXiv.org.
  3. Nick Firoozye & Adriano Koshiyama, 2019. "Optimal Dynamic Strategies on Gaussian Returns," Papers 1906.01427, arXiv.org.
  4. Silvia Bartolucci & Andrei Kirilenko, 2019. "A Model of the Optimal Selection of Crypto Assets," Papers 1906.09632, arXiv.org.
  5. Silvia Bartolucci & Fabio Caccioli & Pierpaolo Vivo, 2019. "A percolation model for the emergence of the Bitcoin Lightning Network," Papers 1912.03556, arXiv.org.

2018

  1. Adriano Soares Koshiyama & Nick Firoozye & Philip Treleaven, 2018. "A Machine Learning-based Recommendation System for Swaptions Strategies," Papers 1810.02125, arXiv.org.
  2. Sariev, Eduard & Germano, Guido, 2018. "An innovative feature selection method for support vector machines and its test on the estimation of the credit risk of default," LSE Research Online Documents on Economics 100211, London School of Economics and Political Science, LSE Library.

2017

  1. Carolyn E. Phelan & Daniele Marazzina & Gianluca Fusai & Guido Germano, 2017. "Hilbert transform, spectral filters and option pricing," Papers 1706.09755, arXiv.org, revised Jan 2020.
  2. Carolyn E. Phelan & Daniele Marazzina & Gianluca Fusai & Guido Germano, 2017. "Fluctuation identities with continuous monitoring and their application to price barrier options," Papers 1712.00077, arXiv.org.

2016

  1. Yiran Cui & Sebastian del Bano Rollin & Guido Germano, 2016. "Stability of calibration procedures: fractals in the Black-Scholes model," Papers 1612.01951, arXiv.org.
  2. Fusai, Gianluca & Germano, Guido & Marazzina, Daniele, 2016. "Spitzer identity, Wiener-Hopf factorization and pricing of discretely monitored exotic options," LSE Research Online Documents on Economics 67564, London School of Economics and Political Science, LSE Library.

2015

  1. Yiran Cui & Sebastian del Ba~no Rollin & Guido Germano, 2015. "Full and fast calibration of the Heston stochastic volatility model," Papers 1511.08718, arXiv.org, revised May 2016.
  2. Gerardo-Giorda, Luca & Germano, Guido & Scalas, Enrico, 2015. "Large scale simulation of synthetic markets," LSE Research Online Documents on Economics 67563, London School of Economics and Political Science, LSE Library.
  3. Iori, Giulia & Politi, Mauro & Germano, Guido & Gabbi, Giampaolo, 2015. "Banks' strategies and cost of money: effects of the financial crisis on the European electronic overnight interbank market," LSE Research Online Documents on Economics 67565, London School of Economics and Political Science, LSE Library.

2012

  1. Gabbi, G. & Germano, G. & Hatzopoulos, V. & Iori, G. & Politi, M., 2012. "Market microstructure, bank's behaviour and interbank spreads," Working Papers 12/06, Department of Economics, City University London.

2009

  1. Mauro Politi & Enrico Scalas & Daniel Fulger & Guido Germano, 2009. "Spectral densities of Wishart-Levy free stable random matrices: Analytical results and Monte Carlo validation," Papers 0903.1629, arXiv.org.

2008

  1. Guido Germano & Mauro Politi & Enrico Scalas & Ren'e L. Schilling, 2008. "Stochastic calculus for uncoupled continuous-time random walks," Papers 0802.3769, arXiv.org, revised Jan 2009.
  2. Scalas, Enrico & Germano, Guido & Politi, Mauro & Schilling, René L., 2008. "Stochastic integration for uncoupled continuous-time random walks," MPRA Paper 7341, University Library of Munich, Germany.

2006

  1. Marco Patriarca & Anirban Chakraborti & Els Heinsalu & Guido Germano, 2006. "Relaxation in statistical many-agent economy models," Papers physics/0608174, arXiv.org, revised Aug 2008.

2005

  1. Marco Patriarca & Anirban Chakraborti & Kimmo Kaski & Guido Germano, 2005. "Kinetic theory models for the distribution of wealth: power law from overlap of exponentials," Papers physics/0504153, arXiv.org, revised May 2005.
  2. Marco Patriarca & Anirban Chakraborti & Guido Germano, 2005. "Influence of saving propensity on the power law tail of wealth distribution," Papers physics/0506028, arXiv.org.

2004

  1. Enrico Scalas & Alessandro Vivoli & Paride Dagna & Guido Germano, 2004. "Speculative option valuation: A supercomputing approach," Computing in Economics and Finance 2004 269, Society for Computational Economics.

Journal articles

2023

  1. Firoozye, Nikan & Tan, Vincent & Zohren, Stefan, 2023. "Canonical portfolios: Optimal asset and signal combination," Journal of Banking & Finance, Elsevier, vol. 154(C).

2022

  1. Adriano Koshiyama & Stefano B. Blumberg & Nick Firoozye & Philip Treleaven & Sebastian Flennerhag, 2022. "QuantNet: transferring learning across trading strategies," Quantitative Finance, Taylor & Francis Journals, vol. 22(6), pages 1071-1090, June.

2021

  1. Adriano Koshiyama & Nick Firoozye & Philip Treleaven, 2021. "Generative adversarial networks for financial trading strategies fine-tuning and combination," Quantitative Finance, Taylor & Francis Journals, vol. 21(5), pages 797-813, May.

2020

  1. Burcu Kapar & Giulia Iori & Giampaolo Gabbi & Guido Germano, 2020. "Market microstructure, banks’ behaviour and interbank spreads: evidence after the crisis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 283-331, January.
  2. Eduard Sariev & Guido Germano, 2020. "Bayesian regularized artificial neural networks for the estimation of the probability of default," Quantitative Finance, Taylor & Francis Journals, vol. 20(2), pages 311-328, February.
  3. C. E. Phelan & D. Marazzina & G. Germano, 2020. "Pricing methods for α-quantile and perpetual early exercise options based on Spitzer identities," Quantitative Finance, Taylor & Francis Journals, vol. 20(6), pages 899-918, June.

2019

  1. Adriano S. Koshiyama & Nikan Firoozye & Philip Treleaven, 2019. "A derivatives trading recommendation system: The mid‐curve calendar spread case," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 26(2), pages 83-103, April.
  2. Carolyn E. Phelan & Daniele Marazzina & Gianluca Fusai & Guido Germano, 2019. "Hilbert transform, spectral filters and option pricing," Annals of Operations Research, Springer, vol. 282(1), pages 273-298, November.
  3. Eduard Sariev & Guido Germano, 2019. "An innovative feature selection method for support vector machines and its test on the estimation of the credit risk of default," Review of Financial Economics, John Wiley & Sons, vol. 37(3), pages 404-427, July.

2018

  1. Phelan, Carolyn E. & Marazzina, Daniele & Fusai, Gianluca & Germano, Guido, 2018. "Fluctuation identities with continuous monitoring and their application to the pricing of barrier options," European Journal of Operational Research, Elsevier, vol. 271(1), pages 210-223.

2017

  1. Cui, Yiran & del Baño Rollin, Sebastian & Germano, Guido, 2017. "Full and fast calibration of the Heston stochastic volatility model," European Journal of Operational Research, Elsevier, vol. 263(2), pages 625-638.

2016

  1. Fusai, Gianluca & Germano, Guido & Marazzina, Daniele, 2016. "Spitzer identity, Wiener-Hopf factorization and pricing of discretely monitored exotic options," European Journal of Operational Research, Elsevier, vol. 251(1), pages 124-134.

2015

  1. Giulia Iori & Mauro Politi & Guido Germano & Giampaolo Gabbi, 2015. "Banks' Strategies and Cost of Money: Effects of the Financial Crisis on the European Electronic Overnight Interbank Market," Journal of Financial Management, Markets and Institutions, Società editrice il Mulino, issue 2, pages 179-202, December.

2010

  1. M. Politi & E. Scalas & D. Fulger & G. Germano, 2010. "Spectral densities of Wishart-Lévy free stable random matrices," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 73(1), pages 13-22, January.

2007

  1. M. Patriarca & A. Chakraborti & E. Heinsalu & G. Germano, 2007. "Relaxation in statistical many-agent economy models," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 57(2), pages 219-224, May.

2006

  1. Patriarca, Marco & Chakraborti, Anirban & Germano, Guido, 2006. "Influence of saving propensity on the power-law tail of the wealth distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 369(2), pages 723-736.

Books

2016

  1. Nick B. Firoozye & Fauziah Ariff, 2016. "Managing Uncertainty, Mitigating Risk," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-33454-1, December.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.