Quantitative Finance
2001 - 2026
Current editor(s): Michael Dempster and Jim Gatheral From Taylor & Francis Journals Bibliographic data for series maintained by Chris Longhurst (). Access Statistics for this journal.
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Volume 26, issue 6, 2026
- Reinforcement learning for trade execution with market and limit orders pp. 833-853

- Patrick Cheridito and Moritz Weiss
- The subtle interplay between square-root impact, order imbalance & volatility: a unifying framework pp. 855-877

- Guillaume Maitrier and Jean-Philippe Bouchaud
- Classifying and clustering trading agents pp. 879-901

- Mateusz Wilinski, Anubha Goel, Alexandros Iosifidis and Juho Kanniainen
- Noise-robust orthogonal clustering and applications to equity markets pp. 903-930

- Rafaël Brutti, Maciej Marowka and Mihai Cucuringu
- Machine learning methods for pricing financial derivatives pp. 931-959

- Lei Fan and Justin Sirignano
- Risk-neutral generative networks pp. 961-980

- Zhonghao Xian, Xing Yan, Cheuk Hang Leung and Qi Wu
- Forward-looking physical tail risk: a deep learning approach pp. 981-992

- Jingyan Zhang, Cong Ma and Wim Schoutens
- The impact of green bonds on issuers' environmental performance pp. 993-1015

- Yiyang Chen, Christina Erlwein-Sayer, Rogemar Mamon, Fabio Spagnolo and Nicola Spagnolo
Volume 26, issue 5, 2026
- Analytical solution for Kelly's criterion for multiple outcomes pp. 671-684

- Jan Vecer
- Exploring parsimonious principles that unify active portfolio selection (I): model pp. 685-706

- Wing Cheung
- Exploring parsimonious principles that unify active portfolio selection (II): validation pp. 707-726

- Wing Cheung
- Expanding the risk horizon: an integrated framework for managing uncertainty and risk in portfolio selection pp. 727-742

- Xinyu Huang, David P. Newton, Emmanouil Platanakis and Xiaoxia Ye
- Simulation-analytical approach for calculating VaR contributions in credit portfolios pp. 743-759

- Jayden Zian Wang, Zhenzhen Huang and Yue Kuen Kwok
- Household stock portfolios under sequential search: implications for diversification puzzle and household risk pp. 761-776

- Yosef Bonaparte, Frank J. Fabozzi and Gurupdesh Pandher
- A Bayesian approach to generating distribution-based signals in pairs trading pp. 777-797

- A. Quadros, M. Higgins and B. Silverstein
- Pair trading strategies in the cryptoassets market: a cointegration framework with optimized thresholds using genetic algorithms pp. 799-821

- Lorette Danilo, Fayssal Jamhamed and Franck Martin
- On the measurement of bank vulnerability pp. 823-831

- Yuliang Zhang
Volume 26, issue 4, 2026
- The ‘double’ square-root law: evidence for the mechanical origin of market impact using Tokyo stock exchange data pp. 491-503

- Guillaume Maitrier, Grégoire Loeper, Kiyoshi Kanazawa and Jean-Philippe Bouchaud
- Why is the estimation of metaorder impact with public market data so challenging? pp. 505-523

- M. Naviglio, G. Bormetti, F. Campigli, G. Rodikov and F. Lillo
- Distribution of price and volume in a call auction pp. 525-540

- Martin ŠmÍd and AleŠ AntonÌn KubĚna
- Detecting toxic flow pp. 541-561

- Álvaro Cartea, Gerardo Duran-Martin and Leandro Sánchez-Betancourt
- Dimensionality reduction techniques to support insider trading detection pp. 563-591

- Adele Ravagnani, Fabrizio Lillo, Paola Deriu, Piero Mazzarisi, Francesca Medda and Antonio Russo
- Filtering market signals: dynamic asset allocation with momentum and hidden mean reversion pp. 593-613

- Sühan Altay, Katia Colaneri, Zehra Eksi-Altay and Eva Flonner
- Surpassing stock market's noise-nonstationarity tradeoff by causal-based domain discovery pp. 615-638

- Songci Xu, Chenchen Zhang, Qiangqiang Cheng and Chi-Guhn Lee
- Smart leverage? Rethinking the role of Leveraged Exchange Traded Funds in constructing portfolios to beat a benchmark pp. 639-669

- Pieter M. van Staden, Peter A. Forsyth and Yuying Li
Volume 26, issue 3, 2026
- Arbitrage filtering of option prices: a simple real-time approach pp. 325-340

- Karim Moussa
- Stock returns revisited and variances hedged by machine learning pp. 341-354

- Dilip B. Madan and King Wang
- Leveraging machine learning for high-dimensional option pricing within the uncertain volatility model pp. 355-374

- Ludovic Goudenège, Andrea Molent and Antonino Zanette
- Analytical approximations for American option pricing under regime-switching models pp. 375-392

- Yawen Zheng, Chi Seng Pun and Song-Ping Zhu
- Pricing American Parisian options under general time-inhomogeneous Markov models pp. 393-418

- Yuhao Liu, Nian Yang and Gongqiu Zhang
- A structured PDE framework for pricing resettable convertible bonds pp. 419-432

- Hyuncheul Lim
- Constant proportion performance participation pp. 433-448

- Rudi Zagst, William Lim and Gaurav Khemka
- A multi-factor model for improved commodity pricing: calibration and an application to the oil market pp. 449-466

- Luca Vincenzo Ballestra and Christian Tezza
- Quantum advantage for multi-option portfolio pricing and valuation adjustments pp. 467-489

- Jeong Yu Han, Bin Cheng, Dinh-Long Vu and Patrick Rebentrost
Volume 26, issue 2, 2026
- Modeling ex post variance jumps: implications for density and tail risk forecasting pp. 161-183

- John Maheu and Efthimios Nikolakopoulos
- Optimal execution in intraday energy markets under Hawkes processes with transient impact pp. 185-211

- Konstantinos Chatziandreou and Sven Karbach
- Mind the gap in the mining game pp. 213-233

- Kyoung-Kuk Kim and Donghwa Seo
- Forecasting carbon returns under structural breaks and model uncertainty: a time-weighted regularized combination approach pp. 235-253

- Zhikai Zhang, Yaojie Zhang, Yudong Wang and Qunwei Wang
- Pairs trading with stock borrowing fee pp. 255-271

- Ziyi Chen, Jia-Wen Gu and Harry Zheng
- Calibrating a proportional hazards model with time-correlated covariates: a case study in probability of default modelling for credit risk analysis pp. 273-284

- Brent Oeyen and Themis Rallis
- A multi-layered network approach for the corporate and banking sectors: unwrapping the fundamental features of velocity of money pp. 285-298

- E. Viegas, H. Takayasu and M. Takayasu
- Random processes for long-term market simulations pp. 299-324

- Gilles Zumbach
Volume 26, issue 1, 2026
- A decision-focused learning framework for goal-based investing pp. 1-13

- Hyunglip Bae, Minsu Park, Haeun Jeon and Woo Chang Kim
- Multivariate portfolio choice via quantiles pp. 15-39

- Carole Bernard, Andrea Perchiazzo and Steven Vanduffel
- Dynamic estimation of sample covariance matrices via hierarchical clustering pp. 41-62

- Chang Wang, Fotis Papailias and Carmine Ventre
- Exploratory mean-variance portfolio selection with Choquet regularizers pp. 63-83

- Junyi Guo, Xia Han and Hao Wang
- Addressing estimation errors on expected asset returns through robust portfolio optimization pp. 85-98

- Gérard Cornuéjols, Özgün Elçİ and Vrishabh Patil
- Spatial-temporal stock movement prediction and portfolio selection based on the semantic company relationship graph pp. 99-117

- Chang Luo, He (Heather) He, Mihai Cucuringu and Tiejun Ma
- Feature configuration effects in DRL portfolio management: a risk-focused evaluation under market stress pp. 119-136

- Rayan Ayari
- Optimizing stock portfolios with deep reinforcement learning after FNN-based fundamental analysis pp. 137-159

- Y. J. Sun, Z. Y. Lu, C. H. Liao, T. S. Dai and S. M. Yuan
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