Big data resource service platform for the internet financial industry

Jiang, Changjun; Ding, Zhijun; Wang, Junli; Yan, Chao

doi:10.1007/s11434-014-0570-5

Cited by 11 publications

(4 citation statements)

References 11 publications

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“…Xie and Zou (2012) found that the internet can significantly lower transaction costs, reduce information asymmetry, enhance the efficiency of risk-based pricing and risk management, and expand sets of feasible transactions. Internet finance received great attention from both academic studies and the financial industry due to its significant impact on the efficiency of financial activities (Wang et al, 2014). Fintech has played a crucial role in revolutionizing the financial services industry since its inception.…”

Section: Literature Review and Analysis Of Related Workmentioning

confidence: 99%

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The Impact of Fintech Innovation on Bank’s Performance: Evidence from the Kingdom of Bahrain

Naser,

Sultanova,

Nahar

2024

IJEFI

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This study investigates the impact of bank-level Financial Technology (Fintech) innovations on banks’ performance in the Kingdom of Bahrain from 2012-2021. Annual data of banks listed in Bahrain’s Bourse has been utilized to achieve this objective. In addition, bank-level FinTech indices have been constructed by a textual analysis method that assesses input dimensions through 32 keywords under four categories, including artificial intelligence, blockchain, cloud computing, and big data; FinTech output dimension is evaluated through payment and settlement, resource allocation, risk management, and channel construction technology. Using different panel data estimators, such as pooled OLS, fixed effects, random effects, and panel-corrected standard errors linear regression, results show that FinTech innovations increase banks’ performance. In addition, the findings demonstrate that banks' capital adequacy ratio, earnings ability, total assets, and annual GDP growth rate also significantly positively impact bank performance. Years in business have a significant adverse effect on bank performance. Interestingly, conventional and state-owned banks have a higher positive impact on returns on assets (ROA) than Islamic and privately owned banks. Policymakers and investors should pay close attention to facilitating ongoing FinTech innovations in the Kingdom of Bahrain to create opportunities and build a more inclusive and efficient financial sector.

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Section: Literature Review and Analysis Of Related Workmentioning

confidence: 99%

“…Fintech has had a bad rap as a disruptive technology, but this study revealed that it offers the Saudi banking sector several advantages (Abdalmajeed et al, 2023). FinTech is now widely used in a variety of nations worldwide (Jiang et al, 2014). It is well known to be a 21 st -century financial product.…”

Section: Literature Review and Analysis Of Related Workmentioning

confidence: 99%

The Impact of Fintech Innovation on Bank’s Performance: Evidence from the Kingdom of Bahrain

Naser,

Sultanova,

Nahar

2024

IJEFI

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“…The big data platform mainly collects and processes data and realtime feedback to deal with huge amounts of structured data, semistructured data and unstructured data [11]. Big data platform will be combined with the currently very mature GIS technology, businessoriented, providing a variety of data support services.…”

Section: The Collision Between Insurance and Big Data 51 Big Data Plmentioning

confidence: 99%

Big Data Platform Architecture under The Background of Financial Technology

Liu

Peng

2018

Proceedings of the 2018 International Conference on Big Data Engineering and Technology

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With the rise of the concept of financial technology, financial and technology gradually in-depth integration, scientific and technological means to become financial product innovation, improve financial efficiency and reduce financial transaction costs an important driving force. In this context, the new technology platform is from the business philosophy, business model, technical means, sales, internal management and other dimensions to re-shape the financial industry. In this paper, the existing big data platform architecture technology innovation, adding space-time data elements, combined with the insurance industry for practical analysis, put forward a meaningful product circle and customer circle. CCS CONCEPTS• Software and its engineering → Application specific development environments.

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“…Financial data has the characteristics of big data in time series. To perform real-time predictive analysis on financial big data, it is necessary to use the financial big data platform [5,6]. Literature [7] based on an in-depth study of the Tmall platform web page structure uses automated testing techniques to simulate the way people browse web pages and e-commerce platform search engines, effectively avoiding the limitations of anticrawling technology.…”

Section: Introductionmentioning

confidence: 99%

Research on Decision‐Making of Complex Venture Capital Based on Financial Big Data Platform

Luo

2018

Complexity

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The prediction of stock premium has always been a hot issue. By predicting stock premiums to provide a way for companies to respond to financial risk investments, companies can avoid investment failures. In this paper, under the financial big data platform, bootstrap resampling technology and long short-term memory (LSTM) are used to predict the value of the stock premium within 20 months. First, using the theme crawler, jsoup page parsing, Solr search, and Hadoop architecture to build a platform for financial big data. Secondly, based on the block bootstrap resampling technology, the existing data information is expanded to make full use of the existing data information. Then, based on the LSTM network, the stock premium in 20 months is predicted and compared with the values predicted by support vector machine regression (SVR), and the SSE and R-square average indicators are calculated, respectively. The calculation results show that the SSE value of LSTM is lower than SVR, and the R-square value of LSTM is higher than SVR, which means that the effect of LSTM prediction is better than SVR. Finally, based on the forecast results and evaluation indicators of the stock premium, we provide countermeasures for the company’s financial risk investment.

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Big data resource service platform for the internet financial industry

Cited by 11 publications

References 11 publications

The Impact of Fintech Innovation on Bank’s Performance: Evidence from the Kingdom of Bahrain

The Impact of Fintech Innovation on Bank’s Performance: Evidence from the Kingdom of Bahrain

Big Data Platform Architecture under The Background of Financial Technology

Research on Decision‐Making of Complex Venture Capital Based on Financial Big Data Platform

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