scholarly journals Discussion on the Mechanism of Internet Finance Promoting the Development of Technology Finance

2020 ◽  
Vol 4 (10) ◽  
Author(s):  
Deyu Chen
Keyword(s):  
Information Asymmetry ◽  
Science And Technology ◽  
Financial Information ◽  
Financial Risks ◽  
Internet Finance ◽  
New Ideas ◽  
Financial Technology ◽  
Innovation And Development

Internet finance can effectively solve the problem of scientific and technological financial information asymmetry, identify financial risks, and provide new ideas for the innovation and development of financial technology mechanisms. Based on this, this article starts with the problems existing in the development of my country's science and technology finance, and proposes a method of applying Internet finance to promote the development of science and technology finance for reference.

scholarly journals LEVERAGE AND IPO PRICING: EVIDENCE FROM MALAYSIA

2020 ◽  
Author(s):  
Chui Zi Ong ◽  
Rasidah Mohd-Rashid ◽  
Kamarun Nisham Taufil-Mohd
Keyword(s):  
Information Asymmetry ◽  
Accounting Information ◽  
Financial Information ◽  
Least Square ◽  
Lower Price ◽  
Financial Risks ◽  
Ordinary Least Square ◽  
Retail Investors ◽  
Ipo Pricing ◽  
The Relationship

The pricing of IPOs is a challenging task among underwriters as they require resources from firms. Contrary to the non-financial information presented in a prospectus to set an offer rice, pre-IPO accounting information could arguably influence IPO offer price. This study aims to investigate the relationship between leverage and IPO offer price. A crosssectional Ordinary Least Square (OLS) regression was implemented to investigate the relationship between leverage and offer price based on a sample of 129 Malaysian IPOs issued between January 2009 and December 2018. As a result, it was proven that leverage was negatively related to offer prices. Accordingly, it was proposed in the findings that fit, which issued higher leverages prior to IPO listing, often posed high financial risks. Subsequently, underwriters and issuers set a lower price for IPOs to compensate for a higher degree of information asymmetry among retail investors. Among the implications of this study’s findings include investor concerns on accounting information, especially leverage upon determining IPO value and IPO investment.  

scholarly journals Research on Financial Risks of Robo-Advisor Platforms

2020 ◽  
Vol 218 ◽  
pp. 01035
Author(s):  
Ruilin Liu
Keyword(s):  
Artificial Intelligence ◽  
Capital Market ◽  
Financial Management ◽  
Management Model ◽  
Financial Risks ◽  
Urgent Problem ◽  
Development Status ◽  
Internet Finance ◽  
Investment Process ◽  
Financial Technology

With the vigorous development of China’s Internet finance and financial technology, Roboadvisors have become more and more popular among investors. This new investment and financial management model that relies on Internet platforms, artificial intelligence, quantitative trading technologies will have a greater impact on the capital market once the financial risks caused. How to standardize the Robo-advisory platform, effectively control the financial risks in the investment process and protect the interests of investors is an urgent problem in the Robo-advisory industry. Firstly, this article analyzes the development status of domestic Robo-advisory platforms. Then it puts forward suggestions on how the Robo-advisory industry can face the dual pressures of survival and profit in the context of stricter supervision by analyzing various financial risks and causes of the platform. It aims to promote the sound development of the investment advisory market in the context of financial technology.

scholarly journals Financial Information Asymmetry: Using Deep Learning Algorithms to Predict Financial Distress

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 443
Author(s):  
Chyan-long Jan
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Information Asymmetry ◽  
Error Rate ◽  
Financial Distress ◽  
Prediction Models ◽  
High Accuracy ◽  
Financial Information ◽  
Financial Distress Prediction ◽  
Distress Prediction

Because of the financial information asymmetry, the stakeholders usually do not know a company’s real financial condition until financial distress occurs. Financial distress not only influences a company’s operational sustainability and damages the rights and interests of its stakeholders, it may also harm the national economy and society; hence, it is very important to build high-accuracy financial distress prediction models. The purpose of this study is to build high-accuracy and effective financial distress prediction models by two representative deep learning algorithms: Deep neural networks (DNN) and convolutional neural networks (CNN). In addition, important variables are selected by the chi-squared automatic interaction detector (CHAID). In this study, the data of Taiwan’s listed and OTC sample companies are taken from the Taiwan Economic Journal (TEJ) database during the period from 2000 to 2019, including 86 companies in financial distress and 258 not in financial distress, for a total of 344 companies. According to the empirical results, with the important variables selected by CHAID and modeling by CNN, the CHAID-CNN model has the highest financial distress prediction accuracy rate of 94.23%, and the lowest type I error rate and type II error rate, which are 0.96% and 4.81%, respectively.

scholarly journals Teknologi og design i nye læreplaner i Norge: Hvilken vinkling har fagområdet fått i naturfagplanen?

2012 ◽  
Vol 2 (2) ◽  
pp. 28-39
Author(s):  
Berit Bungum
Keyword(s):  
Science Curriculum ◽  
Science And Technology ◽  
Compulsory Education ◽  
Science Content ◽  
Formal Curriculum ◽  
New Science ◽  
New Ideas ◽  
Strong Position ◽  
Partnership Approach ◽  
Technology And Design

The new curriculum for compulsory education in Norway defines “Technology and design” as a multidisciplinary area, and this area has received a relatively strong position in the curriculum for science. This article describes the process of defining Technology and design in the formal curriculum. It then presents an analysis of how the curriculum approaches Technology and design in various phases towards the final formal curriculum. The analysis focuses on how ideas from Design & Technology as a subject in England and Wales have influenced the formation of the curriculum, and what relationship between science and technology it communicates. It is concluded that there has been a shift from new ideas towards more traditional science content during the process. The new science curriculum nevertheless facilitates a “partnership approach” to science and technology teaching in Norwegian schools, rather than communicating a view of technology as “applied science”

scholarly journals EARNING MANAGEMENT MODELING BASED ON FINANCIAL COMMUNICATION

2018 ◽  
Vol 6 (10) ◽  
pp. 274-279
Author(s):  
Mojtaba Mortezaee
Keyword(s):  
Information Asymmetry ◽  
Information Disclosure ◽  
Financial Information ◽  
Earning Management ◽  
Web Based ◽  
Management Incentives ◽  
Financial Communication ◽  
The Relationship ◽  
Financial Communications

The present research is focused on financial communication area and aim to investigate the relationship between company’s web-based financial communications, information asymmetry and earning management. The research is aim to examine whether financial communication besides its usefulness could be act as contributory means for management in order to earning management. In other words, aim to challenges management incentives toward web-based financial information disclosure.

Quantitative Modeling of Science and Technology Finance Supporting Industrial Innovation Development Based on Internet of Things Technology

2021 ◽  
Vol 7 (5) ◽  
pp. 2055-2072
Author(s):  
Sai Tang ◽  
Zhihui Wang ◽  
Jiahao Zhou ◽  
Xin Zhang
Keyword(s):  
Internet Of Things ◽  
Financial Support ◽  
Science And Technology ◽  
High Tech ◽  
Conditional Heteroskedasticity ◽  
Finance Industry ◽  
Actual Effect ◽  
Autoregressive Conditional Heteroskedasticity ◽  
Internet Of Things Technology ◽  
Innovation And Development

Objectives: In recent years, science and technology financial support industries are actively supporting the innovation and development of high-tech industries. In order to test the actual effect of S&T financial support industry support plan, a GARCH (Generalized AutoRegressive Conditional Heteroskedasticity) model is designed by using K-means (K-means clustering) algorithm and GM (1,1) (grey prediction) algorithm, which can quantitatively display the development of S&T financial industry to promote high-tech. The GARCH model is used to quantify the degree of innovation and development of science and technology finance industry in the Internet of Things (loT) technology. Finally, according to the quantitative data obtained by GARCH (Generalized AutoRegressive Conditional Heteroskedasticity) model, the actual effect of science and technology finance industry promoting innovation and development of high-tech is evaluated by FAHP (Fuzzy Analytic Hierarchy Process) model. The results show that science and technology finance industry plays a positive role in promoting the innovation and development of loT technology.

The impact of strategic deviance on analysts’ earnings forecasts: evidence from China

2019 ◽  
Vol 10 (3) ◽  
pp. 362-381
Author(s):  
Xiqiong He ◽  
Changping Yin
Keyword(s):  
Information Asymmetry ◽  
Corporate Strategy ◽  
Forecast Error ◽  
Environmental Uncertainty ◽  
Earnings Forecasts ◽  
Financial Information ◽  
Strategic Information ◽  
Content Type ◽  
Information Transparency ◽  
The Impact

Purpose The purpose of this paper is to explore the effect of firm’s deviant strategy on analysts’ earnings forecasts and further examine the effects of firm’s information transparency and environmental uncertainty on these relationships from information asymmetry perspective. Design/methodology/approach The sample includes listed firms on Shanghai and Shenzhen Stock Exchange during the period 2007-2013. Findings The results indicate that firms’ deviant strategies have effects on analysts’ earnings forecasts, in particular, firms with extreme strategies have less analysts following, larger forecast error and dispersion compared with firms following industry norms. Moreover, information transparency and environmental uncertainty have effects on the relationship between strategic deviance and analysts’ earnings forecasts. Practical implications The empirical results of this paper provide strong evidence that strategy information is an important source of information for analysts’ earnings forecasts, which shows that analysts should pay attention to not only financial information but also the strategic information, especially when the information is related to strategic choice. In addition, it is necessary for investors to focus on strategic information to have a better understanding on financial information of enterprises and make better investment decisions. Originality/value The findings of this study indicate that corporate strategic deviance has an effect on analysts’ earnings forecasting behavior. This study enriches research studies on corporate strategy and external stakeholders and complements related research on analysts’ earnings forecasts from strategic perspective and information asymmetry perspective.

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