Smart Finance Research Articles

SimMix: Local similarity-aware data augmentation for time series

We find that local similarity is an essential factor for data augmentation in deep learning tasks concerning time series data, the applications of which are prevalent in various domains such as smart healthcare, intelligent transportation, smart finance, etc. With empirical and theoretical analysis, we find deep learning models achieve excellent performance only when the data augmentation method performs with appropriate intensity of local similarity—during the data augmentation process, too large/small intra-class local similarity will decrease the performance of deep learning models. With this discovery, we propose a time series augmentation method based on intra-class Similarity Mixing (SimMix), which accurately controls the intensity by quantifying and adjusting the similarity between augmented samples and original samples. With a PAC (i.e., Probably Approximately Correct) theoretical foundation, we design a cutmix strategy for non-equal length segments to eliminate semantic information loss and noise introduction defects in traditional methods. Through extensive validation on 10 real-world datasets, we demonstrate that the proposed method can outperform the state-of-the-art by a large margin.

ПОДХОД К ОЦЕНКЕ ЭФФЕКТИВНОСТИ ПАЕВЫХ ИНВЕСТИЦИОННЫХ ФОНДОВ, ИСПОЛЬЗУЮЩИХ ФИНАНСОВЫЕ ИНСТРУМЕНТЫ ПОД УПРАВЛЕНИЕМ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА НА РЫНКЕ ЦЕННЫХ БУМАГ

The 21st century is an era of information technology. The rapid development of financial technology has brought huge changes to investors’ lives. The emergence of artificial intelligence has made financial investment activities simpler and more efficient, and automated investment has become possible. Artificial intelligence can, to a certain extent, replace investors in making investment decisions, improve investment efficiency, and reduce work costs. Smart finance and technological finance are the mainstream development directions of the financial market. The use of artificial intelligence can increase the profitability and efficiency of mutual funds.

ИССЛЕДОВАНИЕ СТРАТЕГИЙ ПРЕПОДАВАНИЯ КУРСОВ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В ВЫСШИХ УЧЕБНЫХ ЗАВЕДЕНИЯХ

Being one of the ten most fashionable buzzwords in the media, artificial intelligence has penetrated into all aspects of social production and life, especially in the development of smart homes, smart education, etc., which makes artificial intelligence more closely related to production and people’s lives, and the development of smart finance, smart transport, etc. It has also brought great convenience to people’s lives. Artificial intelligence has become an inevitable trend in promoting social development. A large number of companies have joined the field of research, development and production of artificial intelligence, so there is an acute demand for artificial intelligence specialists in the market. It was added that higher professional educational institutions should closely integrate with market demand, introduce innovative teaching methods for specialties in the field of artificial intelligence and develop high-quality talents of practical application with skill and high quality.

PT. Smart Finance's Design Of Green Budgets

This century has seen an increase in the development of sustainable development, and to help with this, the green economy strategy has been established. Businesses who are aware of this are beginning to include environmental management components to the strategic roadmap in order to accommodate this programme, which needs funding in order to be carried out. As a result, many institutions are now beginning to use green budgeting techniques. A budgeting model known as "green budgeting" gives environmental considerations top priority during the planning, execution, monitoring, and assessment stages. Organisations can use budgets as a tool to promote the accomplishment of environmental goals by implementing green budgeting. The OECD-based green budgeting theory and idea is applied. The purpose of this study is to offer a framework for implementing the green budgeting idea in line with business needs. This study employs qualitative methodologies grounded in financial company case studies. The information used came from documents and interviews pertaining to the organisation's green corporate roadmap and budgeting procedure. The study's findings demonstrate that PT. Smart Finance has strategic goals for environmental management in its frame design, and these goals are guided by the company's long-term aims and its shareholders. The company has relevant policies, such as the Green Company Document Blueprint, to put this idea into practice. It also has media, such as management reports and sustainability reports, to report on its progress and provide information on programme realisation. If this idea is put into practice, the annual budget of the company will need to be prepared with a grading system for environmental management.

Smart Finance: How Artificial Intelligence and Machine Learning Drive Innovation in the Financial Sector

Smart Finance: How Artificial Intelligence and Machine Learning Drive Innovation in the Financial Sector

An Artificial Neural Network-Based Intelligent Prediction Model for Financial Credit Default Behaviors

With the rapid development of intelligent techniques, smart finance has become a hot topic in daily life. Currently, financial credit is facing increasing business volume, and it is expected that investigating the intelligent algorithms can help reduce human labors. In this area, the prediction of latent credit default behaviors can help deal with loan approval affairs, and it is the most important research topic. Machine learning-based methods have received much attention in this area, and they can achieve proper performance in some scenarios. However, machine learning-based models cannot have resilient objective function, which can cause failure in having stable performance in different problem scenarios. This work introduces deep learning that has the objective function with high freedom degree, and proposes an artificial neural network-based intelligent prediction model for financial credit default behaviors. The whole technical framework is composed of two stages: information encoding and backbone network. The former makes encoding toward initial features, and the latter builds a multi-layer perceptron to output prediction results. Finally, the experiments are conducted on a real-world dataset to evaluate the efficiency of the proposed approach.

GREEN ENERGY IN SMART BUILDINGS INVESTMENTS

The Institute of Radio and Information Systems (IRIS) – Association based in Vienna, Austria, whose staff has extensive experience in scientific work and organizing international conferences in various countries, publishes its own scientific journals and has a book publishing house. We plan to build our actions within the Smart Finance for Smart Buildings (SFSB) initiative and the methodology used in SEI Forums to bring together a wide range of participants, developing it in direction: most of the energy consumed by buildings is spent on space heating including air required for ventilation. Advocacy and development of programs for financing the expansion of the use of air heat pumps with energy recovery of heated (in summer cooled) ventilated air will reduce energy costs for heating by almost 4 times with a quick payback period. In 5 years after project are provided: primary energy savings triggered by the project; investments in sustainable energy triggered by the project; reduction of the greenhouse gases emissions. To create national roundtables on energy efficiency investments as multilateral discussion forums bringing together government, local and regional authorities, financial sector, ESCOs, homeowners, industry, construction sector and SME sector, we propose to engage professionals from our conference partners: Technische Universitaet Wien; IEEE Technology Center GmbH (Wien); Politische Akademie der ÖVP (Wien); Aspern Smart City Research GMBH & CO KG. Our proposals relate mainly to Austria however, they include a share of events in Czech Republic, Slovakia, Hungary, Slovenia which we can successfully organize with help of the IEEE Technology and Engineering Management Society Central Europe Chapter from our partner IEEE Austria Section as well as exchange with roundtables throughout Europe which will be coordinated by Commission services. The proposed project consist of blocks: Information-statistical, Training, Expert, and Legislative initiatives.

Research on Comprehensive Budget Performance Management in Universities under the Background of Smart Finance

Research on Comprehensive Budget Performance Management in Universities under the Background of Smart Finance

How Does FDI Affect Cities’ Low-Carbon Innovation? The Moderation Effect of Smart City Development

ABSTRACT Analyzing data from 285 Chinese cities for the period 2005–2016, we examined the impact of foreign direct investment (FDI) on low-carbon innovation, and explored smart city development’s (SCD) moderating role. We found that FDI had a significant positive effect, while SCD played a positive moderating role. Specifically, SCD’s moderating role occurred through three channels: information and communication technology, smart finance, and smart government. Moreover, SCD may maximize innovation advantages and facilitate low-carbon innovation resource flow into more efficient departments. Finally, FDI may improve low-carbon innovation, while SCD may maximize the spillover effect of FDI on low-carbon innovation.

Sweetening the deal: benefiting from smart technology through smart finance

Authors look at the symbiosis of smart technology and smart financing in the modernization, automation and digital transformation of (production) processes in the sugar industry.

Course Certificate Integration Based on Wireless Communication ‘ 1 + X ’ Intelligent Finance and Taxation

Due to the ever-changing market environment and fierce competition, tax personnel are increasingly pursuing intelligence. Based on the background of smart finance and taxation, this article explains the issues related to the “ 1 + X ” certificate and analyzes the development ideas and reform directions of the teaching plan and certificate integration teaching mode. This paper presents a study on the integration of academic certificates under the background of “ 1 + X ” intelligent finance and taxation wireless communication. From 2018 to 2019, the development trend of smart finance and taxation has been rising. In 2018, the lowest was 11%, and the highest was 25%; in 2019, the lowest was 16%, and the highest was 37%. The lowest growth rate in 2019 was 5%, and the highest was 21%; the results show that although many relevant personnel understand smart finance and taxation, they have not planned how to use smart finance and taxation to improve their professional capabilities. The results show that smart fiscal and taxation is becoming more and more important in social development and has been widely used. However, traditional fiscal and taxation teaching can no longer meet the requirements of today’s society for fiscal and taxation personnel, so related fiscal and taxation teaching should be innovated.

Blockchain for IoT Applications: Taxonomy, Platforms, Recent Advances, Challenges and Future Research Directions

The Internet of Things (IoT) has become a popular computing technology paradigm. It is increasingly being utilized to facilitate human life processes through a variety of applications, including smart healthcare, smart grids, smart finance, and smart cities. Scalability, interoperability, security, and privacy, as well as trustworthiness, are all issues that IoT applications face. Blockchain solutions have recently been created to help overcome these difficulties. The purpose of this paper is to provide a survey and tutorial on the use of blockchain in IoT systems. The importance of blockchain technology in terms of features and benefits for constituents of IoT applications is discussed. We propose a blockchain taxonomy for IoT applications based on the most significant factors. In addition, we examine the most widely used blockchain platforms for IoT applications. Furthermore, we discuss how blockchain technology can be used to broaden the spectrum of IoT applications. Besides, we discuss the recent advances and solutions offered for IoT environments. Finally, we discuss the challenges and future research directions of the use of blockchain for the IoT.

Introducing the Special Issue in CEREM: Towards Smart Finance

Introducing the Special Issue in CEREM: Towards Smart Finance

Framework of the Smart Finance and Accounting Management Model under the Artificial Intelligence Perspective

With the establishment of modern enterprise systems and the emergence of some large-scale enterprise groups formed through asset reorganization, industry alliances, and cross-industry mergers, new requirements have been put forward for the financial management mode of enterprise groups. This article mainly studies the development of the smart accounting management model architecture under the artificial intelligence perspective. On the accounting sharing service platform, the accounting sharing center does not belong to the logistics branch of any region. Through the accounting sharing center, it provides unified and standardized accounting, asset management, currency revenue and expenditure, etc., for the branches of the logistics company. At the same time, in the network environment, the financial and accounting sharing platform is not unilaterally closed. As each branch under unified management, it has the power to feedback, suggest, and supervise the financial and accounting sharing platform. When testing, one only needs to focus on the external properties of the program, without considering the internal logical structure and internal characteristics of the program at all. The system under test is regarded as a sealed black box, and the boundary value analysis method, the equivalence class division method, and causality are used. Technical methods such as the graph method and error speculation method are tested at the system interface to detect whether the function of each test can receive and output the results correctly. The implementation of the accounting management model of accounting shared services must ensure that the evaluation results of related work are objective and accurate. It is necessary to ensure that the evaluation index system has a high degree of quantification. In the specific scoring, the full score system can be used to score points by experts to ensure the objectivity of the evaluation results and accuracy while improving the operability and enforceability of the evaluation work. The average value of the operating net profit margin is 0.088731, and the median value is 0.082263. The results show that artificial intelligence technology has greatly promoted the development of the smart accounting management model architecture.

Risk Assessment of Public-Private Partnership Projects Using SMART Financing

Risk assessment is one of the main tools used in the implementation of public-private partnership (PPP) projects in any economic sector. Risk analysis is necessary for the formation of a resource-efficient system of distribution and risk management, i.e. a SMART system.Aim. The presented study aims to develop and test a risk assessment methodology for PPP projects based on the concept of SMART financing.Tasks. The authors formulate a criteria framework for the formation of PPP projects using the concept of SMART financing, develop a risk assessment methodology, and conduct applied research based on one of economic sectors.Methods. This study is based on the systematization of publications of Russian and foreign economists on the problem of forming public-private partnership projects using risk management tools, statisti cal and economic-mathematical methods for analyzing the economic indicators of the selected sector and the living standards in the regions of the Central Federal District (CFD), and a comprehensive approach to assessing the risks of PPP projects using SMART financing.Results. A criteria framework for the formation of PPP projects using the concept of SMART financing and a methodology for assessing the risks of PPP projects in the housing and utilities sector using the concept of SMART financing are developed.Conclusions. The practical significance of the study consists in the development of a methodology for assessing the risks of PPP projects using the concept of SMART financing, which is based on the principle of point distribution of financial resources based on risk assessment. This will make it possible to prioritize the distribution of financial resources in the implementation of PPP projects.

Supply Chain Financial Risk Evaluation of Small- and Medium-Sized Enterprises under Smart City

Prevention and control of risks are an eternal theme of financial institutions. Although, to some extent, the emergence of supply chain finance can enhance the financing capacity of small- and medium-sized enterprises (SMEs) and reduce financial risks of financial institutions, with the development of smart city and smart finance, the financial risks of SMEs are more complex, infectious, dormant, and difficult to accurately identify and measure. Facing this status, financial institutions have been required to understand and evaluate the financial risks of SMEs from a new perspective. Therefore, this paper, based on the study of financial risks assessment of SMEs under the smart city and smart finance, innovatively constructs a new index evaluation system for supply chain finance, based on improved hesitant fuzzy linguistic PROMETHEE method, and the effectiveness and advantages of the model have been verified through an example. To a certain degree, the SMEs financing the evaluation model and improved PROMETHEE method can not only help financial institutions reduce the risks in the specific financial transactions but also reduce the survival threat of financial institutions. Moreover, it is of positive significance to the stable operation of the financial system.

The economics of renewable energy support

This paper uses theoretical and numerical economic equilibrium models to examine optimal renewable energy (RE) support policies for wind and solar resources in the presence of a carbon externality associated with the use of fossil fuels. We emphasize three main issues for policy design: the heterogeneity of intermittent natural resources, budget-neutral financing rules, and incentives for carbon mitigation. We find that differentiated subsidies for wind and solar, while being optimal, only yield negligible efficiency gains. Policies with smart financing of RE subsidies which either relax budget neutrality or use polluter-pays financing in the context of budget-neutral schemes can, however, approximate socially optimal outcomes. Our analysis suggests that optimally designed RE support policies do not necessarily have to be viewed as a costly second-best option when carbon pricing is unavailable.

Building a Smart and Sustainable Environment using Internet of Things

Due to having a lot of rapid enhancement/ development in technology (in the past two decades), internet of things/ devices make human live so better. From smart home to smart environment/ or city, people or surrounding environment has been changed a lot in past several years. Today’s making smart cities or environment is being a must needed work for every government around the globe. The Government of India has been initiated a plan to develop 100 smart cities, till 2022. Similarly, Dubai is also on progress to become a Smart City (by integrating Internet of Things (IoTs) and Information and Communications Technology (ICT) infrastructures) till 2021 for organising World Expo-2020. Hence, with keeping in mind all these components (required for a smart environment), we need to perform every function/ work smarter and smarter (in a smarter way). In general, Human beings (person) are getting several benefits via using/ these smart technologies in terms of smart agriculture, smart retailing, smart financing, smart e-commerce, smart TVs, etc. So, this work discuss show these smart devices have changed (or can change) human life. Hence, this work provides a clear view about integration of IoTs with ICT technologies and their effects on society/ humanity/ available resources, also explain several issues in different technologies.

How a User will Look the Connections of Internet of Things Devices?: A Smarter Look of Smarter Environment

Today’s due to the rapid enhancement in technology in the past two decades, devices or environment is being smarter and smarter. Human beings (person) are getting a lot of benefits due to these smart technologies in terms of smart agriculture, smart retailing, smart financing, smart e-commerce, smart TVs, etc. So due to interconnecting of all smart devices together, it generates huge data (Large data) called Big Data. Apart that people always require a clear/ smart view of smarter technology/ smarter environment, i.e., how all devices will work together when they are inter-connected. Hence, this paper presents a clear and smart picture of smarter environment including several issues (in different technologies). For that, we have referred several research papers, and taken help of internet/ web, etc., to provide as much as possible research directions (information) to future researchers.

The Economics of Renewable Energy Support

This paper uses theoretical and numerical economic equilibrium models to examine optimal renewable energy (RE) support policies for wind and solar resources in the presence of a carbon externality associated with the use of fossil fuels. We emphasize three main issues for policy design: the heterogeneity of intermittent natural resources, budget-neutral financing rules, and incentives for carbon mitigation. We find that differentiated subsidies for wind and solar, while being optimal, only yield negligible efficiency gains. Policies with smart financing of RE subsidies which either relax budget neutrality or use “polluter-pays-the-price” financing in the context of budget-neutral schemes can, however, approximate socially optimal outcomes. Our analysis suggests that optimally designed RE support policies do not necessarily have to be viewed as a costly second-best option when carbon pricing is unavailable.