Digital Finance
2019 - 2026
Current editor(s): Wolfgang Karl Härdle, Steven Kou and Min Dai From Springer Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.
Volume 5, issue 3, 2023
- Dynamic and context-dependent stock price prediction using attention modules and news sentiment pp. 449-481

- Nicole Königstein
- What drives cryptocurrency returns? A sparse statistical jump model approach pp. 483-518

- Federico P. Cortese, Petter N. Kolm and Erik Lindström
- Market impact and efficiency in cryptoassets markets pp. 519-562

- Emilio Barucci, Giancarlo Giuffra Moncayo and Daniele Marazzina
- Tokenizing assets with dividend payouts—a legally compliant and flexible design pp. 563-580

- Efim Zhitomirskiy, Stefan Schmid and Martin Walther
- Exploring investor behavior in Bitcoin: a study of the disposition effect pp. 581-612

- Jürgen E. Schatzmann and Bernhard Haslhofer
- Central bank digital currencies (CBDCs) and their potential impact on traditional banking and monetary policy: an initial analysis pp. 613-641

- Christoph Wronka
- A primer on the insurability of decentralized finance (DeFi) pp. 643-687

- Felix Bekemeier
- Fast approximation methods for credit portfolio risk calculations pp. 689-716

- Kevin Jakob, Johannes Churt, Matthias Fischer, Kim Nolte, Yarema Okhrin, Dirk Sondermann, Stefan Wilke and Thomas Worbs
Volume 5, issue 2, 2023
- Time-varying higher moments in Bitcoin pp. 231-260

- Leonardo Ieracitano Vieira and Márcio Laurini
- Determinants of liquidity in cryptocurrency markets pp. 261-293

- J. Christopher Westland
- Hybrid ARDL-MIDAS-Transformer time-series regressions for multi-topic crypto market sentiment driven by price and technology factors pp. 295-365

- Ioannis Chalkiadakis, Gareth W. Peters and Matthew Ames
- Replicating market makers pp. 367-387

- Guillermo Angeris, Alex Evans and Tarun Chitra
- Heterogeneous tail generalized common factor modeling pp. 389-420

- Simon Hediger, Jeffrey Näf, Marc S. Paolella and Paweł Polak
- Financial recommendations on Reddit, stock returns and cumulative prospect theory pp. 421-448

- Felix Reichenbach and Martin Walther
Volume 5, issue 1, 2023
- Deep Learning in Finance pp. 1-2

- Weinan E, Ruimeng Hu and Shige Peng
- Convolutional signature for sequential data pp. 3-28

- Ming Min and Tomoyuki Ichiba
- DeepVaR: a framework for portfolio risk assessment leveraging probabilistic deep neural networks pp. 29-56

- Georgios Fatouros, Georgios Makridis, Dimitrios Kotios, John Soldatos, Michael Filippakis and Dimosthenis Kyriazis
- Forecasting the term structure of commodities future prices using machine learning pp. 57-90

- Mario Figueiredo and Yuri F. Saporito
- Deep stochastic optimization in finance pp. 91-111

- A. Max Reppen, H. Mete Soner and Valentin Tissot-Daguette
- Deep learning algorithms for hedging with frictions pp. 113-147

- Xiaofei Shi, Daran Xu and Zhanhao Zhang
- Can deep neural networks outperform Fama-MacBeth regression and other supervised learning approaches in stock returns prediction with asset-pricing factors? pp. 149-182

- Huei-Wen Teng and Yu-Hsien Li
- Differential learning methods for solving fully nonlinear PDEs pp. 183-229

- William Lefebvre, Grégoire Loeper and Huyên Pham
Volume 4, issue 4, 2022
- SI women in Fintech and AI pp. 263-264

- Galena Pisoni, Alessia Paccagnini, Claudia Tarantola, Alessandra Tanda, Albulena Shala and Kherbouche Meriem
- Green FinTech: sustainability of Bitcoin pp. 265-273

- Esra Kabaklarlı
- Is the future of bitcoin safe? A triangulation approach in the reality of BTC market through a sentiments analysis pp. 275-290

- A. V. Biju, Aparna Merin Mathew, P. P. Nithi Krishna and M. P. Akhil
- Predicting interest rate distributions using PCA & quantile regression pp. 291-311

- Rita Pimentel, Morten Risstad and Sjur Westgaard
- The impact of corporate governance on the digitalization process: empirical evidence for the Romanian companies pp. 313-340

- Monica Violeta Achim, Viorela-Ligia Văidean, Andrada-Ioana Sabău Popa and Lavinia-Ioana Safta
- Persistence in daily returns of stocks with highest market capitalization in the Indian market pp. 341-374

- Rupel Nargunam and Ananya Lahiri
Volume 4, issue 2, 2022
- Programmable money: next-generation blockchain-based conditional payments pp. 109-125

- Ingo Weber and Mark Staples
- Discussion on: “Programmable money: next generation blockchain-based conditional payments” by Ingo Weber and Mark Staples pp. 127-131

- Michael Burda
- Discussion on: “Programmable money: next generation blockchain based conditional payments” by Ingo Weber and Mark Staples pp. 133-134

- Olivija Filipovska
- Discussion on: “Programmable money: next generation blockchain based conditional payments” by Ingo Weber and Mark Staples pp. 135-135

- Audrius Kabasinskas
- Discussion on: “Programmable money: next generation blockchain based conditional payments” by Ingo Weber and Mark Staples pp. 137-138

- Joerg Osterrieder
- Discussion on: “Programmable money: next generation blockchain based conditional payments” by Ingo Weber and Mark Staples pp. 139-140

- Valerio Potì
- Discussion on: “Programmable money: next generation blockchain based conditional payments” by Ingo Weber and Mark Staples pp. 141-142

- Andre Martins Rodrigues and Ruimeng Hu
- Rejoinder for the discussed paper “Programmable money: next-generation blockchain-based conditional payments” pp. 143-147

- Ingo Weber and Mark Staples
- Indices on cryptocurrencies: an evaluation pp. 149-167

- Konstantin Häusler and Hongyu Xia
- Democratic (crypto-)currency issuance pp. 169-185

- Hans Gersbach
- Analysis of cryptocurrency connectedness based on network to transaction volume ratios pp. 187-216

- Christian Hafner and Sabrine Majeri
- Cryptocurrencies and stablecoins: a high-frequency analysis pp. 217-239

- Emilio Barucci, Giancarlo Giuffra Moncayo and Daniele Marazzina
- Reinforcement learning with intrinsic affinity for personalized prosperity management pp. 241-262

- Charl Maree and Christian W. Omlin
Volume 4, issue 1, 2022
- Delta force: option pricing with differential machine learning pp. 1-15

- Magnus Grønnegaard Frandsen, Tobias Cramer Pedersen and Rolf Poulsen
- COVID risk narratives: a computational linguistic approach to the econometric identification of narrative risk during a pandemic pp. 17-61

- Yuting Chen, Don Bredin, Valerio Potì and Roman Matkovskyy
- Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls pp. 63-88

- Helmut Wasserbacher and Martin Spindler
- Adaptive order flow forecasting with multiplicative error models pp. 89-108

- Andrija Mihoci, Christopher Hian-Ann Ting, Meng-Jou Lu and Kainat Khowaja
Volume 3, issue 3, 2021
- Special Issue on Artificial Intelligence, Machine Learning and Platform Innovation in Quantitative Finance (MathFinance Conference 2020/2021) pp. 207-208

- Natalie Packham and Uwe Wystup
- Accuracy of deep learning in calibrating HJM forward curves pp. 209-248

- Fred Espen Benth, Nils Detering and Silvia Lavagnini
- Default analysis in mortgage risk with conventional and deep machine learning focusing on 2008–2009 pp. 249-271

- Vikram Ojha and JeongHoe Lee
- Cryptocurrency volatility markets pp. 273-298

- Fabian Woebbeking
- Special issue on Financial Forensics and Fraud Investigation in the Era of Industry 4.0 pp. 299-300

- Thomas K. Dasaklis and Veni Arakelian
- A blockchain-based forensic model for financial crime investigation: the embezzlement scenario pp. 301-332

- Lamprini Zarpala and Fran Casino
- Modeling asset allocations and a new portfolio performance score pp. 333-371

- Apostolos Chalkis, Emmanouil Christoforou, Ioannis Z. Emiris and Theodore Dalamagas
- Correction to: Modeling asset allocations and a new portfolio performance score pp. 373-373

- Apostolos Chalkis, Emmanouil Christoforou, Ioannis Z. Emiris and Theodore Dalamagas
Volume 3, issue 2, 2021
- Robo-advising: a dynamic mean-variance approach pp. 81-97

- Min Dai, Hanqing Jin, Steven Kou and Yuhong Xu
- CATE meets ML pp. 99-148

- Daniel Jacob
- Profitability of cryptocurrency Pump and Dump schemes pp. 149-167

- Taro Tsuchiya
- How to gauge investor behavior? A comparison of online investor sentiment measures pp. 169-204

- Daniele Ballinari and Simon Behrendt
- Correction to: Default analysis in mortgage risk with conventional and deep machine learning focusing on 2008–2009 pp. 205-205

- Vikram Ojha and JeongHoe Lee
Volume 3, issue 1, 2021
- On cointegration and cryptocurrency dynamics pp. 1-23

- Georg Keilbar and Yanfen Zhang
- Contemporaneous financial intermediation pp. 25-44

- Markus Merz
- Evaluation of multi-asset investment strategies with digital assets pp. 45-79

- Alla Petukhina and Erin Sprünken
| |