scholarly journals Analysis of Financing Risk and Innovation Motivation Mechanism of Financial Service Industry Based on Internet of Things

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Luya Li ◽  
Hongxun Li
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Financial Institutions ◽  
Service Industry ◽  
Financial Innovation ◽  
Financial Service ◽  
Var Model ◽  
Continuous Innovation ◽  
Financial Products ◽  
Financial Service Industry

It is of practical significance to introduce the Internet of Things technology into the financial service industry and find the driving factors and mechanisms of financial innovation to accelerate the promotion of financial innovation. This article starts from the perspective of banks and other supply chain financial institutions, takes mainstream trading products in the commodity trading market as the research object, uses the LA-VAR model, and fully considers the market price fluctuations and liquidity factors of supply chain financial inventory products. It analyzes the theoretical basis of the continuous innovation of rural financial products. On the basis of analyzing the basic characteristics and types of rural financial product innovation, we explore the connotation of sustainable innovation of rural financial products, clarify the evaluation criteria, and lay a theoretical foundation for continuous dynamic evaluation. Based on technical innovation evaluation theoretical models such as Schumpeter’s innovation model, technical specifications-technological track model, and NR relationship model market, we analyze the innovation elements of rural financial products from the external and internal aspects of innovation and discuss the relationship between the factors. The interaction mechanism of rural financial products has established a dynamic mechanism model for the continuous innovation of rural financial products. A fuzzy comprehensive evaluation was made on the continuous innovation power of financial service industry products in a certain area. Using a combination of remote surveys and on-site visits, a questionnaire survey was conducted on financial service industry institutions in a certain region’s financial system. Each survey object was required to conduct 120 × 1067 index comparisons and use the data after processing the arithmetic average Matlab carries out the objective processing of programming. The results show that the LA-VAR model with liquidity indicators can measure the liquidity risk well and more comprehensively evaluate the risk of the inventory pledge financing model. According to the index weights determined by AHP, the development of the financial service industry will be promoted in a targeted manner from the internal construction of financial institutions and the optimization of the external innovation environment.

scholarly journals Using Fund Transfer Pricing as a Performance Measurement System in the Financial Service Industry

2019 ◽  
Vol 2 ◽  
pp. 13-30
Author(s):  
Vincent Bicudo de Castro ◽  
◽  
Tiago Leote ◽  
Maryam Safari ◽  
◽  
...  
Keyword(s):  
Performance Measurement ◽  
Financial Institutions ◽  
Measurement System ◽  
Service Industry ◽  
Transfer Pricing ◽  
Financial Service ◽  
Performance Measurement System ◽  
Financial Service Industry ◽  
Business Units ◽  
A Performance

As a response to the financial crisis of 2007-2008, financial service industry regulators have commonly requested financial service industry to implement fund transfer pricing (FTP) mechanisms. Despite the importance of the topic as highlighted in the practitioners’ literature since the 2000s, the use of FTP as a performance measurement system has been understudied. To add to our understanding of such mechanisms in the financial service industry, this paper demonstrates, through an analytical model, how FTP can be used as a performance measurement system in financial institutions. More importantly, this paper illustrates how FTP can be used for overcoming the distortions caused due to the transfer of funds between the business units.

scholarly journals What are effects of tax changes on market risk? - a case in listed Viet Nam investment and financial service companies

2021 ◽  
Vol 7 (Extra-E) ◽  
pp. 497-504
Author(s):  
Phan Anh ◽  
Nguyen Dinh Trung ◽  
Dinh Tran Ngoc Huy
Keyword(s):  
Service Industry ◽  
Stock Exchange ◽  
Market Risk ◽  
Financial Service ◽  
Viet Nam ◽  
Tax Rates ◽  
Tax Rate ◽  
Financial Service Industry ◽  
Global Stock Markets ◽  
Tax Changes

The financial crisis has been affected many global stock markets, as well as the Viet Nam stock exchange. This study analyzes the impacts of tax policy on market risk for the listed firms in the non-banking financial service and investment industry, so-called financial service industry, as it becomes necessary. First, by using quantitative and analytical methods to estimate asset and equity beta of total 10 listed companies in Viet Nam financial service industry with a proper traditional model, we found out that the beta values, in general, for many companies are acceptable. Second, under 3 different scenarios of changing tax rates (20%, 25% and 28%), we recognized that there is not large disperse in equity beta values, estimated at 1,048, 1,050 and 1,052.These values are just little higher than those of the listed VN construction firms but much higher than those of listed banking firms. Third, by changing tax rates in 3 scenarios (25%, 20% and 28%), we recognized equity /asset beta are most the same (0,23 and 0,16) if tax rate increases from 20% to 25%, then goes up from 25% to 28%.

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