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Option return predictability with machine learning and big data

Bali, Turan G.; Beckmeyer, Heiner; Mörke, Mathis; … - 2021 - This version: August 20, 2021

Drawing upon more than 12 million observations over the period from 1996 to 2020, we find that allowing for nonlinearities significantly increases the out-of-sample performance of option and stock characteristics in predicting future option returns. Besides statistical significance, the...

Persistent link: https://www.econbiz.de/10012620725

Stakeholder causal scope analysis-centered big data management for sustainable tourism

Shams, S. M. Riad; Vrontis, Demetris; Christofi, Michael - In: Journal of hospitality & tourism research : JHTR ; the … 46 (2022) 5, pp. 972-978

Persistent link: https://www.econbiz.de/10013257071

Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning

McBride, Linden; Barrett, Christopher B.; Browne, … - In: Applied economic perspectives and policy 44 (2022) 2, pp. 879-892

Persistent link: https://www.econbiz.de/10013274051

Health sector and application of big data : a case study of India

Debnath, Roma Mitra; Dhingra, Apaar - In: Central European review of economics and management : CEREM 6 (2022) 1, pp. 46-65

Aim: The paper aims to study and present the case study of the health sector of India. The paper also aims to identify the opportunities for the application of Big data in the health sector. The major stakeholders of the system viz. doctors, hospitals, clinics, insurance companies,...

Persistent link: https://www.econbiz.de/10013202358

Web analytics applications, opportunities and challenges to online retail in India

Kumar, Vikas; Ayodeji, Ogunmola Gabriel - In: International journal of services and operations … 41 (2022) 4, pp. 463-485

Persistent link: https://www.econbiz.de/10013257550

Identifying market structure : a deep network representation learning of social engagement

Yang, Yi; Zhang, Kunpeng; Kannan, P. K. - In: Journal of marketing 86 (2022) 4, pp. 37-56

Persistent link: https://www.econbiz.de/10013258873

Scaled PCA : a new approach to dimension reduction

Huang, Dashan; Jiang, Fuwei; Li, Kunpeng; Tong, Guoshi; … - In: Management science : journal of the Institute for … 68 (2022) 3, pp. 1678-1695

Persistent link: https://www.econbiz.de/10013260016

Leveraging big data to study information dissemination of material firm events

Li, Bin; Venkatachalam, Mohan - In: Journal of accounting research 60 (2022) 2, pp. 565-606

Persistent link: https://www.econbiz.de/10013190960

Artificial intelligence databases: turn-on big data of the SMBs

Manivannan, P.; Prabha, D.; Balasubramanian, K. - In: International journal of business information systems : … 39 (2022) 1, pp. 1-16

Persistent link: https://www.econbiz.de/10012887829

Trust predicts compliance with COVID-19 containment policies : evidence from ten countries using Big Data

Sarracino, Francesco; Greyling, Talita; O'Connor, Kelsey J. - 2022

Previous evidence indicates trust is an important correlate of compliance with COVID-19 containment policies. However, this conclusion hinges on two crucial assumptions: first, that compliance does not change over time, and second, that mobility or self-reported measures are good proxies for...

Persistent link: https://www.econbiz.de/10013170799