Skip to main content

Articles

Page 3 of 13

  1. Credit risk assessment involves conducting a fair review and evaluation of an assessed subject’s solvency and creditworthiness. In the context of real estate enterprises, credit risk assessment provides a basi...

    Authors: Zhen-Song Chen, Jia Zhou, Chen-Ye Zhu, Zhu-Jun Wang, Sheng-Hua Xiong, Rosa M. Rodríguez, Luis Martínez and Mirosław J. Skibniewski
    Citation: Financial Innovation 2023 9:120
  2. This study uses the dynamic conditional correlation to investigate how technology subsector stocks interact with financial assets in the face of economic and financial uncertainty. Our results suggest that str...

    Authors: Linn Arnell, Emma Engström, Gazi Salah Uddin, Md. Bokhtiar Hasan and Sang Hoon Kang
    Citation: Financial Innovation 2023 9:106
  3. This study analyzes the role of financial development (FD) on the impact of technological innovation (TI) on six environmental quality indicators for the 25 economies that are part of the Organization for Econ...

    Authors: Hossein Ali Fakher and Zahoor Ahmed
    Citation: Financial Innovation 2023 9:112
  4. A broad range of companies around the world has welcomed artificial intelligence (AI) technology in daily practices because it provides decision-makers with comprehensive and intuitive messages about their ope...

    Authors: Kuang-Hua Hu, Fu-Hsiang Chen, Ming-Fu Hsu and Gwo-Hshiung Tzeng
    Citation: Financial Innovation 2023 9:117
  5. This paper investigates optimal decisions for private banking development in China under two innovative organizational structures—the big retail mode (BRM) and the independent development mode (IDM). Under the...

    Authors: He Liu, Yun Bai, Zhiguang Huang, Han Qiao and Shouyang Wang
    Citation: Financial Innovation 2023 9:116
  6. In the European Union (EU), the revised Payment Services Directive (PSD2) aims to provide more convenient and customized financial products through open banking (OB) platforms. However, little attention has be...

    Authors: Massimo Preziuso, Franziska Koefer and Michel Ehrenhard
    Citation: Financial Innovation 2023 9:111
  7. The Group Method of Data Handling (GMDH) neural network has demonstrated good performance in data mining, prediction, and optimization. Scholars have used it to forecast stock and real estate investment trust ...

    Authors: Wendi Zhang, Bin Li, Alan Wee-Chung Liew, Eduardo Roca and Tarlok Singh
    Citation: Financial Innovation 2023 9:98
  8. To measure the diversification capability of Bitcoin, this study employs wavelet analysis to investigate the coherence of Bitcoin price with the equity markets of both the emerging and developed economies, con...

    Authors: Rubaiyat Ahsan Bhuiyan, Afzol Husain and Changyong Zhang
    Citation: Financial Innovation 2023 9:100
  9. This study aims to fill the gap in the literature by specifically investigating the impact of country risk on the credit risk of the banking sectors operating in Brazil, Russia, India, China, and South Africa ...

    Authors: Chafic Saliba, Panteha Farmanesh and Seyed Alireza Athari
    Citation: Financial Innovation 2023 9:86
  10. We construct a sovereign default network by employing high-dimensional vector autoregressions obtained by analyzing connectedness in sovereign credit default swap markets. We develop four measures of centralit...

    Authors: Lu Yang, Lei Yang and Xue Cui
    Citation: Financial Innovation 2023 9:83
  11. This study investigates tail dependence among five major cryptocurrencies, namely Bitcoin, Ethereum, Litecoin, Ripple, and Bitcoin Cash, and uncertainties in the gold, oil, and equity markets. Using the cross-...

    Authors: Walid Mensi, Mariya Gubareva, Hee-Un Ko, Xuan Vinh Vo and Sang Hoon Kang
    Citation: Financial Innovation 2023 9:92
  12. Since its inception, bitcoin has used the popular consensus protocol proof-of-work (PoW). PoW has a well-known flaw: it distributes all rewards to a single miner (or pool) who inserts a new block. Consequently...

    Authors: Danilo Bazzanella and Andrea Gangemi
    Citation: Financial Innovation 2023 9:91
  13. This study aims to examine the time-varying efficiency of the Turkish stock market’s major stock index and eight sectoral indices, including the industrial, financial, service, information technology, basic me...

    Authors: Deniz Erer, Elif Erer and Selim Güngör
    Citation: Financial Innovation 2023 9:80
  14. The current financial education framework has an increasing need to introduce tools that facilitate the application of theoretical models to real-world data and contexts. However, only a limited number of free...

    Authors: Monica Martinez-Blasco, Vanessa Serrano, Francesc Prior and Jordi Cuadros
    Citation: Financial Innovation 2023 9:76
  15. Forecasting returns for the Artificial Intelligence and Robotics Index is of great significance for financial market stability, and the development of the artificial intelligence industry. To provide investors...

    Authors: Yue-Jun Zhang, Han Zhang and Rangan Gupta
    Citation: Financial Innovation 2023 9:75
  16. This research aims to investigate the influence of female directors on Intellectual Capital Performance (ICP) using a sample of manufacturing-listed companies in China. Our study investigates the link between ...

    Authors: Hafiz Mustansar Javaid, Qurat Ul Ain and Rita D’Ecclesia
    Citation: Financial Innovation 2023 9:74
  17. This study reveals the inconsistencies between the negative externalities of carbon emissions and the recognition condition of accounting statements. Hence, the study identifies that heavily polluting enterpri...

    Authors: Zeyu Xie, Mian Yang and Fei Xu
    Citation: Financial Innovation 2023 9:71
  18. In this paper, we summarize and analyze the relevant research on the cash management problem appearing in the literature. First, we identify the main dimensions of the cash management problem. Next, we review ...

    Authors: Francisco Salas-Molina, Juan A. Rodríguez-Aguilar and Montserrat Guillen
    Citation: Financial Innovation 2023 9:67
  19. Technological innovations significantly influence individual firms and other innovations, such as financial innovations. The future of a firm depends on its innovation investment strategy. According to the lit...

    Authors: Hwa-Sung Kim
    Citation: Financial Innovation 2023 9:68
  20. Online banking fraud occurs whenever a criminal can seize accounts and transfer funds from an individual’s online bank account. Successfully preventing this requires the detection of as many fraudsters as poss...

    Authors: Paolo Vanini, Sebastiano Rossi, Ermin Zvizdic and Thomas Domenig
    Citation: Financial Innovation 2023 9:66
  21. The study aims to investigate the financial technology (FinTech) factors influencing Chinese banking performance. Financial expectations and global realities may be changed by FinTech’s multidimensional scope,...

    Authors: Husam Rjoub, Tomiwa Sunday Adebayo and Dervis Kirikkaleli
    Citation: Financial Innovation 2023 9:65
  22. Using negative to low-correlated assets to manage short-term portfolio risk is not uncommon among investors, although the long-term benefits of this strategy remain unclear. This study examines the long-term b...

    Authors: Seema Wati Narayan, Mobeen Ur Rehman, Yi-Shuai Ren and Chaoqun Ma
    Citation: Financial Innovation 2023 9:64