> Issues
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9(2023), Artikel-ID 100105, Seite 1-11:
OptionNet a multiscale residual deep learning model with confidence interval to predict option price Luwei Lin, Meiqing Wang, Hang Cheng, Rong Liu, Fei Chen
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100114, Seite 1-11:
CentralBankRoBERTa A fine-tuned large language model for central bank communications Moritz Pfeifer, Vincent P. Marohl
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100109, Seite 1-10:
Machine learning in classifying bitcoin addresses Leonid Garin, Vladimir Gisin
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100102, Seite 1-27:
The applications of big data in the insurance industry a bibliometric and systematic review of relevant literature Nejla Ellili, Haitham Nobanee, Lama Alsaiari, Hiba Shanti, Bettylucille Hillebrand, Nadeen Hassanain, Leen Elfout
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100100, Seite 1-16:
The cross-section of Chinese corporate bond returns Xiaoyan Zhang, Zijian Zhang
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100104, Seite 1-26:
Stock pledged loans and market crash risk evidence from China Feng Li, Jun Qian, Haofei Wang, Julie Lei Zhu
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100095, Seite 1-18:
Does one size fit all? comparing the determinants of the FinTech market segments expansion Mikhail Stolbov, Maria Shchepeleva
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100101, Seite 1-22:
Hedging using reinforcement learning contextual k-armed bandit versus Q-learning Loris Cannelli, Giuseppe Nuti, Marzio Sala, Oleg Szehr
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100099, Seite 1-19:
Making it into a successful series A funding an analysis of Crunchbase and LinkedIn data Yiea-Funk Te, Michèle Wieland, Martin Frey, Asya Pyatigorskaya, Penny Schiffer, Helmut Grabner
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100103, Seite 1-16:
Investigating the impact financial content structure has on consumer appreciation an empirical study of Australian statement of advice documents Ben Neilson
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100106, Seite 1-12:
Data-driven estimation of economic indicators with search big data in discontinuous situation Goshi Aoki, Kazuto Ataka, Takero Doi, Kota Tsubouchi
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100108, Seite 1-21:
Expert aggregation for financial forecasting Carl Remlinger, Clémence Alasseur, Marie Brière, Joseph Mikael
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100097, Seite 1-13:
Portfolio optimization using cellwise robust association measures and clustering methods with application to highly volatile markets Emmanuel Jordy Menvouta, Sven Serneels, Tim Verdonck
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100107, Seite 1-26:
Topological tail dependence evidence from forecasting realized volatility Hugo Gobato Souto
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100098, Seite 1-26:
The great wall of debt real estate, political risk, and Chinese local government financing cost Andrew Ang, Jennie Bai, Hao Zhou
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100119, Seite 1:
The inaugural Journal of Finance and Data Science Conference was held successfully in Beijing news
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100115, Seite 1-8:
Fintech, financial inclusion, digital currency, and CBDC Huining (Henry) Cao, Yi Huang, Yiping Huang, Bernard Yeung, Xiaoyan Zhang
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100113, Seite 1-21:
A general framework for portfolio construction based on generative models of asset returns Tuoyuan Cheng, Kan Chen
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100112, Seite 1-13:
An analysis of conditional mean-variance portfolio performance using hierarchical clustering Stephen R. Owen
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100110, Seite 1-21:
Asset allocation using a Markov process of clustered efficient frontier coefficients states Nolan Alexander, William Scherer, Jamey Thompson
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100111, Seite 1-28:
A dynamic partial equilibrium model of capital gains taxation Stephen L. Lenkey, Timothy T. Simin
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100116, Seite 1:
Editorial research frontiers of the Chinese financial markets Hao Zhou
Amsterdam [u.a.]: Elsevier, 2015-
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9(2023), Artikel-ID 100096, Seite 1-21:
What do we learn from stock price reactions to China's first announcement of anti-corruption reforms? Chen Lin, Randall Morck, Bernard Yeung, Xiaofeng Zhao
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 255-295:
Term structure of interest rates with short-run and long-run risks Olesya V. Grishchenko, Zhaogang Song, Hao Zhou
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 331-352:
Machine learning for cryptocurrency market prediction and trading Patrick Jaquart, Sven Köpke, Christof Weinhardt
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 120-137:
Forecasting earnings and returns a review of recent advancements Jeremiah Green, Wanjia Zhao
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 138-144:
Audit data analytics, machine learning, and full population testing Feiqi Huang, Won Gyun No, Miklos A. Vasarhelyi, Zhaokai Yan
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 202-213:
Are there trade-offs with mandating timely disclosure of cybersecurity incidents? evidence from state-level data breach disclosure laws Musaib Ashraf, John (Xuefeng) Jiang, Isabel Yanyan Wang
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 55-68:
Betting against noisy beta Thorsten Lehnert
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 214-232:
A causal approach to test empirical capital structure regularities Simone Cenci, Stephen Kealhofer
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 233-254:
Improving insurers' loss reserve error prediction adopting combined unsupervised-supervised machine learning techniques in risk management In Jung Song, Wookjae Heo
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 296-308:
Measuring tail risks Kan Chen, Tuoyuan Cheng
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 353-387:
Sustainable investing and the cross-section of returns and maximum drawdown Lisa R. Goldberg, Saad Mouti
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 145-161:
The use of predictive analytics in finance Daniel Broby
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 180-201:
Credit scoring methods latest trends and points to consider Anton Markov, Zinaida Seleznyova, Victor Lapshin
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 309-330:
Vine copula based dependence modeling in sustainable finance Claudia Czado, Karoline Bax, Özge Sahin, Thomas Nagler, Aleksey Min, Sandra Paterlini
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite A1-A2:
Accounting in an age of big data Kai Du
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 69-85:
Big data, accounting information, and valuation Doron Nissim
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 86-104:
Performance attribution of machine learning methods for stock returns prediction Stéphane Daul, Thibault Jaisson, Alexandra Nagy
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 1-11:
FinLex: an effective use of word embeddings for financial lexicon generation Sanjiv R. Das, Michele Donini, Muhammad Bilal Zafar, John He, Krishnaram Kenthapadi
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 105-119:
A new measure of corporate bond liquidity using survival analysis Kaihua Cai, Peter Yesley
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 12-34:
Persistence in factor-based supervised learning models Guillaume Coqueret
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 35-54:
Machine learning portfolio allocation Michael Pinelis, David Ruppert
Amsterdam [u.a.]: Elsevier, 2015-
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8(2022) vom: Nov., Seite 162-179:
Trading the FX volatility risk premium with machine learning and alternative data Thomas Dierckx, Jesse Davis, Wim Schoutens
Amsterdam [u.a.]: Elsevier, 2015-
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7(2021) vom: Nov., Seite 22-44:
Pairwise acquisition prediction with SHAP value interpretation Katsuya Futagami, Yusuke Fukazawa, Nakul Kapoor, Tomomi Kito
Amsterdam [u.a.]: Elsevier, 2015-
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7(2021) vom: Nov., Seite 126-142:
Inventory effects on the price dynamics of VSTOXX futures quantified via machine learning Daniel Guterding
Amsterdam [u.a.]: Elsevier, 2015-
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7(2021) vom: Nov., Seite 115-125:
Enhanced PD-implied ratings by targeting the credit rating migration matrix Jin-Chuan Duan, Shuping Li
Amsterdam [u.a.]: Elsevier, 2015-
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7(2021) vom: Nov., Seite 1-21:
Negative conversion premium Zhijian (James) Huang, Li Xu
Amsterdam [u.a.]: Elsevier, 2015-
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7(2021) vom: Nov., Seite 45-66:
Short-term bitcoin market prediction via machine learning Patrick Jaquart, David Dann, Christof Weinhardt
Amsterdam [u.a.]: Elsevier, 2015-
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7(2021) vom: Nov., Seite 67-93:
How does the creditor conflict affect bond IPO underpricing? Susheng Wang, Xinjie Wang, Yuan Wang, Xueying Zhang
Amsterdam [u.a.]: Elsevier, 2015-
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7(2021) vom: Nov., Seite 94-114:
CapitalVX a machine learning model for startup selection and exit prediction Greg Ross, Sanjiv Das, Daniel Sciro, Hussain Raza
Amsterdam [u.a.]: Elsevier, 2015-