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Relevant bibliographies by topics / Web applications – Finance

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Academic literature on the topic 'Web applications – Finance'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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Journal articles on the topic "Web applications – Finance"

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Gray, Paul. "Strategy, the Web, and Finance." Information Systems Management 25, no. 4 (2008): 376–80. http://dx.doi.org/10.1080/10580530802384811.

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Chanda, Siddhant Vinayak, and Arivoli A. "Web Scraping in Finance using Python." International Journal of Engineering and Advanced Technology 9, no. 5 (2020): 255–62. http://dx.doi.org/10.35940/ijeat.e9457.069520.

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The objective of this paper is to highlight different ways to extract financial data ( Balance Sheet, Income Statement and Cash Flow) of different companies from Yahoo finance and present an elaborate model to provide an economical, reliable and, a time-efficient tool for this purpose. It aims at aiding business analysts who are not well versed with coding but need quantitative outputs to analyse, predict, and make market decisions, by automating the process of generation of financial data. A python model is used, which scrapes the required data from Yahoo finance and presents it in a precise

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Brandner, Michael, Michael Craes, Frank Oellermann, and Olaf Zimmermann. "Web services-oriented architecture in production in the finance industry." Informatik-Spektrum 27, no. 2 (2004): 136–45. http://dx.doi.org/10.1007/s00287-004-0380-2.

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Zahruddin, Muhamad, Indri Handayani, and Nini Santika. "MERANCANG SISTEM PENGOLAHAN ATK BERBASIS WEB PADA PT. ARTHAASIA FINANCE." CCIT Journal 11, no. 2 (2018): 225–35. http://dx.doi.org/10.33050/ccit.v11i2.590.

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PT. Arthaasia Finance is a company engaged in the field of finance, and has problems in making data collection such as the manufacture of stationery demand and in making reports every month still using Microsoft Word and Microsoft Excel. The need for ATK management system is very necessary. Due to the vastness of the management system being run, so the need for management of ATK becomes very important. This system development method refers to the design used in the form of SDLC (Software Development Lift Cycle) in the form of waterfall. Based on the results of research at PT. Arthaasia Finance

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Assensoh-Kodua, Akwesi. "Social purchasing and the influence of social networking: a conceptual view." Banks and Bank Systems 11, no. 3 (2016): 44–57. http://dx.doi.org/10.21511/bbs.11(3).2016.05.

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Internet has enabled businesses to offer their merchandise through web-based applications, of which recent phenomenon includes online social networks (OSNs). This paper studies the influence of OSNs through the lens of perceived trust (PT), social norm (SN), user satisfaction (US) and perceived behavioral control (PBC) to find out how these influence participants of OSNs continuance buying intention. A model of IS continuance intention of web-based application was developed to test the above factors. The results show that trust in OSN is based mainly on the degree of the social relations that

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Sahu, Chinmoy. "Using Webinar Polls to Collect Online Survey Data." International Journal of Information and Communication Technology Education 8, no. 1 (2012): 53–62. http://dx.doi.org/10.4018/jicte.2012010106.

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Data collection using respondent surveys is a common methodology used in many research projects. Increasing popularity of e-mail and internet has resulted in most of the modern surveys being carried out using these mediums. Declining response rates call for fresh methods of data collection. As a possible alternative to already popular methods like web-based and email surveys, this paper illustrates the use of webinar sessions to collect relevant data from the participants. The popularity of webinars in recent times throws up a tremendous potential in utilizing it as a data collection tool. The

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Yinka-Banjo, Chika Ogochukwu, and Ogundeyi Kehinde Esther. "Financial stock application using websocket in real time application." International Journal of Informatics and Communication Technology (IJ-ICT) 8, no. 3 (2019): 139. http://dx.doi.org/10.11591/ijict.v8i3.pp139-151.

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<p>Real time web application involves clients which is also known as a browser getting updates from the server as they happen. The finance world is moving fast, and human brains cannot sustain processing data at that speed, so algorithms are used with regards to the limit observed in old-style real-time communication which include long polling, polling server-sent events and comets, this paper uses WebSocket technology when dealing with real time applications. The Web Socket offers improved result as compared to the conventional approaches that are considered to be good solution of provi

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Gârleanu, Nicolae, Stavros Panageas, and Jianfeng Yu. "Impediments to Financial Trade: Theory and Applications." Review of Financial Studies 33, no. 6 (2019): 2697–727. http://dx.doi.org/10.1093/rfs/hhz095.

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Abstract We propose a tractable model of an informationally inefficient market featuring nonrevealing prices, general preferences and payoff distributions, but not noise traders. We show the equivalence between our model and a substantially simpler one in which investors face distortionary investment taxes depending on both their identity and the asset class. This equivalence allows us to account for such phenomena as underdiversification. We further employ the model to assess approaches to performance evaluation and find that it provides a theoretical basis for some intuitive practices, such

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Guven, Serife Tutar. "Web-based health education in pediatric nursing." New Trends and Issues Proceedings on Humanities and Social Sciences 4, no. 2 (2017): 122–27. http://dx.doi.org/10.18844/prosoc.v4i2.2739.

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The internet, which provides the access, share and communication information of people worldwide and is regarded as a revolution, has an increasingly important role in health education, research and applications. Health professionals search for new ways to facilitate and improve the provision of effective health education to individuals and communities. The developments in computer and internet technologies and high priority of finance for nursing studies in technological terms lead researchers to develop, use and test different types of web-based initiatives. In addition, a large amount of qu

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Harfizar, Harfizar, Fauzan Manafi Albar, and Muh Afiffudin. "RANCANG BANGUN SISTEM INFORMASI PENYALUR DANA BANTUAN SISWA ( BOS ) BERBASIS WEB." Journal CERITA 3, no. 2 (2017): 228–44. http://dx.doi.org/10.33050/cerita.v3i2.660.

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Application of Information Technology has now spread almost in all fields is no exception in the management of the School Operational Fund allows all operational funds management activities informasi.Kebutuhan technology will utilize information technology is closely connected with the role of fund management boss as a standard program of education that is needed to finance the activities nonpersonnel operation for 1 ( one ) year as part of the overall education funding to education units can conduct educational activities on a regular and ongoing basis in accordance with National Education St

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Dissertations / Theses on the topic "Web applications – Finance"

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Juniper, James. "A Keynesian critique of recent finance and macroeconomic applications of risk-sensitive and robust control theory." Title page, contents and abstract only, 2001. http://web4.library.adelaide.edu.au/theses/09PH/09phj953.pdf.

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Bibliography: leaves 479-544. The objective of this thesis is to assess the strengths and weaknesses of recent economic applications of robust and risk-sensitive control theory from a Keynesian perspective.

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HER, LI CHYI, and 李祈和. "Applications of Web Services in Military Finance and Budget Information Systems." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/98706726405565907379.

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Khubisa, Freedom Mthobisi. "Developing a frugal information system to support very small enterprise business transactions." Thesis, 2017. http://hdl.handle.net/10321/2930.

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Submitted in fulfillment of the requirements of the Master of Information and Communications Technology Degree, Durban University of Technology, Durban, South Africa, 2017.<br>The research reported in this dissertation focuses on the development of a web-based frugal information system (frugal IS) which supports financial management of very small enterprises (VSEs), with a special focus on their business transactions. In most developing countries, VSEs have some significant contributions at various socioeconomic objectives, such as fostering entrepreneurship and improving growth of employment.

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Books on the topic "Web applications – Finance"

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Sindell, Kathleen. Online guide to financial research. Ventana, 1997.

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Beyond e-learning: Approaches and technologies to enhance organizational knowledge, learning, and performance. Jossey-Bass, a Wiley imprint, 2006.

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Rosenberg, Marc Jeffrey. Beyond E-Learning. John Wiley & Sons, Ltd., 2005.

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Calishain, Tara, and Kathleen Sindell. Official Worldnet Guide to Financial Research. Ventana Communications Group, 1998.

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Rosenberg, Marc J. Beyond E-Learning: Approaches and Technologies to Enhance Organizational Knowledge, Learning, and Performance. Pfeiffer, 2005.

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Cruickshank, Steven. Mathematical models and anaesthesia. Edited by Jonathan G. Hardman. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0027.

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The use of mathematics in medicine is not as widespread as it might be. While professional engineers are instructed in a wide variety of mathematical techniques during their training in preparation for their daily practice, tradition and the demands of other subjects mean that doctors give little attention to numerical matters in their education. A smattering of statistical concepts is typically the main mathematical field that we apply to medicine. The concept of the mathematical model is important and indeed familiar; personal finance, route planning, home decorating, and domestic projects a

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Book chapters on the topic "Web applications – Finance"

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Bartels, Patrick, and Michael H. Breitner. "Finance Applications with the Web Mining Software Agent PISA." In Impulse aus der Wirtschaftsinformatik. Physica-Verlag HD, 2004. http://dx.doi.org/10.1007/978-3-7908-2683-8_9.

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Ozenbas, Deniz, Michael S. Pagano, Robert A. Schwartz, and Bruce W. Weber. "Economics and the Equity Market: A Microeconomics Course Application." In Classroom Companion: Business. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74817-3_1.

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AbstractEconomics encompasses two broad subjects: macroeconomics and microeconomics. Macroeconomics deals with an economy in aggregate and addresses issues such as inflation, unemployment, interest rates, and economic growth. We present a macroeconomic perspective in Chap. 10.1007/978-3-030-74817-3_3. Microeconomics, the focus of this chapter, operates, as its name indicates, on the micro level, addressing household consumption decisions and the production decisions of firms. In this chapter, we focus on the parallels (and a few differences) between a standard microeconomics formulation (a household’s selection of an optimal consumption bundle) and a standard finance model (an investor’s selection of a portfolio that optimally combines a riskless asset – cash – and a risky equity portfolio). The finance formulation is the Capital Asset Pricing Model (CAPM). CAPM is a keystone of what is known as modern portfolio theory, the originator of which is Harry Markowitz who was awarded a Nobel Memorial Prize in Economic Sciences in 1990 for having developed the theory of portfolio choice. We then introduce friction (trading costs) and show how CAPM’s frictionless market equilibrium is perturbed. The analysis provides a good lead-in to the next chapter on finance.

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Qin, Caiping. "The Local University Based on Web Service Technology Finance Internal Control System Optimization Research." In Application of Intelligent Systems in Multi-modal Information Analytics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51431-0_36.

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Engel, Janina, Michela Nardo, and Michela Rancan. "Network Analysis for Economics and Finance: An Application to Firm Ownership." In Data Science for Economics and Finance. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66891-4_14.

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AbstractIn this chapter, we introduce network analysis as an approach to model data in economics and finance. First, we review the most recent empirical applications using network analysis in economics and finance. Second, we introduce the main network metrics that are useful to describe the overall network structure and characterize the position of a specific node in the network. Third, we model information on firm ownership as a network: firms are the nodes while ownership relationships are the linkages. Data are retrieved from Orbis including information of millions of firms and their shareholders at worldwide level. We describe the necessary steps to construct the highly complex international ownership network. We then analyze its structure and compute the main metrics. We find that it forms a giant component with a significant number of nodes connected to each other. Network statistics show that a limited number of shareholders control many firms, revealing a significant concentration of power. Finally, we show how these measures computed at different levels of granularity (i.e., sector of activity) can provide useful policy insights.

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Bargagli-Stoffi, Falco J., Jan Niederreiter, and Massimo Riccaboni. "Supervised Learning for the Prediction of Firm Dynamics." In Data Science for Economics and Finance. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66891-4_2.

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AbstractThanks to the increasing availability of granular, yet high-dimensional, firm level data, machine learning (ML) algorithms have been successfully applied to address multiple research questions related to firm dynamics. Especially supervised learning (SL), the branch of ML dealing with the prediction of labelled outcomes, has been used to better predict firms’ performance. In this chapter, we will illustrate a series of SL approaches to be used for prediction tasks, relevant at different stages of the company life cycle. The stages we will focus on are (1) startup and innovation, (2) growth and performance of companies, and (3) firms’ exit from the market. First, we review SL implementations to predict successful startups and R&D projects. Next, we describe how SL tools can be used to analyze company growth and performance. Finally, we review SL applications to better forecast financial distress and company failure. In the concluding section, we extend the discussion of SL methods in the light of targeted policies, result interpretability, and causality.

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Buckmann, Marcus, Andreas Joseph, and Helena Robertson. "Opening the Black Box: Machine Learning Interpretability and Inference Tools with an Application to Economic Forecasting." In Data Science for Economics and Finance. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66891-4_3.

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AbstractWe present a comprehensive comparative case study for the use of machine learning models for macroeconomics forecasting. We find that machine learning models mostly outperform conventional econometric approaches in forecasting changes in US unemployment on a 1-year horizon. To address the black box critique of machine learning models, we apply and compare two variables attribution methods: permutation importance and Shapley values. While the aggregate information derived from both approaches is broadly in line, Shapley values offer several advantages, such as the discovery of unknown functional forms in the data generating process and the ability to perform statistical inference. The latter is achieved by the Shapley regression framework, which allows for the evaluation and communication of machine learning models akin to that of linear models.

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Ozenbas, Deniz, Michael S. Pagano, Robert A. Schwartz, and Bruce W. Weber. "Liquidity, Trading, and Price Determination in Equity Markets: A Finance Course Application." In Classroom Companion: Business. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74817-3_2.

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AbstractTrading is the implementation of an investment decision. After a portfolio decision has been made by a portfolio manager, it must be implemented, and especially for handling large orders and navigating stressful markets, specific skills and responsibilities are needed that require the expertise of a professional trader. However, the efficiency with which orders are handled and turned into trades depends, not just on traders’ abilities, but also on a market’s liquidity, on the design of the marketplace where shares are traded, and on the regulatory environment. In this chapter, we cover trading costs, liquidity, volatility, price discovery, market structure, and market structure regulation.

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Ozenbas, Deniz, Michael S. Pagano, Robert A. Schwartz, and Bruce W. Weber. "Trading and Technology: An Information Systems Course Application." In Classroom Companion: Business. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74817-3_4.

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AbstractFinancial markets today are highly computerized -- from software-driven order submission to price determination to straight-through clearing and settlement -- computer technology has displaced manual activities and streamlined functions throughout the trading value chain. The previous chapters examined microeconomic principles that underpin trading and price-setting, and finance theory that provides analytical frameworks for market outcomes. Our analysis introduces real market frictions and examines how transactions costs and heterogeneity among market participants makes market structure and tracing mechanism design crucial determinants of market outcomes and behavior. . In this chapter, we drill down further into the realities of a non-frictionless market in order to focus on how technology can enhance the efficiency of an actual marketplace. Challenging market design issues are encountered when developing and operating an actual trading facility, and as IT professionals know, the devil is in the details. The practical considerations in operating a market system successfully are the next topic this book addresses.

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Lehrer, Steven F., Tian Xie, and Guanxi Yi. "Do the Hype of the Benefits from Using New Data Science Tools Extend to Forecasting Extremely Volatile Assets?" In Data Science for Economics and Finance. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66891-4_13.

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AbstractThis chapter first provides an illustration of the benefits of using machine learning for forecasting relative to traditional econometric strategies. We consider the short-term volatility of the Bitcoin market by realized volatility observations. Our analysis highlights the importance of accounting for nonlinearities to explain the gains of machine learning algorithms and examines the robustness of our findings to the selection of hyperparameters. This provides an illustration of how different machine learning estimators improve the development of forecast models by relaxing the functional form assumptions that are made explicit when writing up an econometric model. Our second contribution is to illustrate how deep learning can be used to measure market-level sentiment from a 10% random sample of Twitter users. This sentiment variable significantly improves forecast accuracy for every econometric estimator and machine algorithm considered in our forecasting application. This provides an illustration of the benefits of new tools from the natural language processing literature at creating variables that can improve the accuracy of forecasting models.

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Liu, Yuting, Zhi-Ming Ma, and Chuan Zhou. "Further Study on Web Markov Skeleton Processes." In Stochastic Analysis and Applications to Finance. WORLD SCIENTIFIC, 2012. http://dx.doi.org/10.1142/9789814383585_0016.

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Conference papers on the topic "Web applications – Finance"

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Liu, Xiang. "An Agent-Based Architecture for Supply Chain Finance Cooperative Context-Aware Distributed Data Mining Systems." In 2008 3rd International Conference on internet and Web Applications and Services (ICIW). IEEE, 2008. http://dx.doi.org/10.1109/iciw.2008.31.

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Kai, Ge, and Wei Zhang. "Nonlinear Dynamics and Application of the Four Dimensional Autonomous Hyper-Chaotic System." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34282.

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In this paper, we establish a dynamic model of the hyper-chaotic finance system which is composed of four sub-blocks: production, money, stock and labor force. We use four first-order differential equations to describe the time variations of four state variables which are the interest rate, the investment demand, the price exponent and the average profit margin. The hyper-chaotic finance system has simplified the system of four dimensional autonomous differential equations. According to four dimensional differential equations, numerical simulations are carried out to find the nonlinear dynamic

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Dubey, Abhimanyu, and Alex `Sandy' Pentland. "Thompson Sampling on Symmetric Alpha-Stable Bandits." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/792.

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Thompson Sampling provides an efficient technique to introduce prior knowledge in the multi-armed bandit problem, along with providing remarkable empirical performance. In this paper, we revisit the Thompson Sampling algorithm under rewards drawn from symmetric alpha-stable distributions, which are a class of heavy-tailed probability distributions utilized in finance and economics, in problems such as modeling stock prices and human behavior. We present an efficient framework for posterior inference, which leads to two algorithms for Thompson Sampling in this setting. We prove finite-time regr

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Chen, Di, Yada Zhu, Xiaodong Cui, and Carla Gomes. "Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/617.

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Real-world applications often involve domain-specific and task-based performance objectives that are not captured by the standard machine learning losses, but are critical for decision making. A key challenge for direct integration of more meaningful domain and task-based evaluation criteria into an end-to-end gradient-based training process is the fact that often such performance objectives are not necessarily differentiable and may even require additional decision-making optimization processing. We propose the Task-Oriented Prediction Network (TOPNet), an end-to-end learning scheme that auto

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Buzzetto-More, Nicole, and Bryant Mitchell. "Student Performance and Perceptions in a Web-Based Competitive Computer Simulation." In InSITE 2009: Informing Science + IT Education Conference. Informing Science Institute, 2009. http://dx.doi.org/10.28945/3353.

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Computer simulations have implications across disciplines and with learners at all levels. By requiring learners to develop and apply knowledge and skills in interactive changing environments, they encourage deeper levels of learning. Additionally, simulations have been shown to be particularly effective at teaching complicated concepts that depend on the ability to understand interrelationships, strategize, make predictions, analyze and evaluate, and engage in multi-faceted decision making. In order to help students gain a deeper understanding of key business concepts, encourage critical thin

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Pavić, Ivana, Ivana Mamić Sačer, and Lajoš Žager. "Challenges, Advantages and Disadvantages in Implementation of Ifrs 15 in Different Industries." In 2nd International Conference on Business, Management and Finance. Acavent, 2019. http://dx.doi.org/10.33422/2nd.icbmf.2019.11.769.

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The accounting rules related to revenues’ recognition and measurement have not been changed for many years, and have been listed in International Accounting Standard 18 – Revenues, which has been in use since 1984. Practice has shown that the standard is no longer an adequate basis for revenue recognition and therefore the International Accounting Standards Board (IASB) in cooperation with American FASB has created and published a new accounting standard that addresses the issue of revenue recognition – IFRS 15 – Revenues from Contracts with Customers. This standard supersedes the application

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Tabet Derraz, Imane. "Training System and Skills Development within Algerian Companies." In 2nd International Conference on Business, Management and Finance. Acavent, 2019. http://dx.doi.org/10.33422/2nd.icbmf.2019.11.763.

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Business success is strongly associated with developing the skills of their employees. Companies are actually spending more and more money on employee training to improve their skills in changing laws, procedures, organizational change, or simply to improve or perform; this learning, this training brings us to a specific goal is to develop skills.The central question is:” how to build a good training system that will help develop skills?”In this article, we will explain the training system established by Algerian companies as well their motivations and their enthusiasms to obtain their fixed o

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Ding, Kaize, Jundong Li, Nitin Agarwal, and Huan Liu. "Inductive Anomaly Detection on Attributed Networks." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/179.

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Anomaly detection on attributed networks has attracted a surge of research attention due to its broad applications in various high-impact domains, such as security, finance, and healthcare. Nonetheless, most of the existing efforts do not naturally generalize to unseen nodes, leading to the fact that people have to retrain the detection model from scratch when dealing with newly observed data. In this study, we propose to tackle the problem of inductive anomaly detection on attributed networks with a novel unsupervised framework: Aegis (adversarial graph differentiation networks). Specifically

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"Review of Blockchain Literature – Its Application and Acceptance." In InSITE 2019: Informing Science + IT Education Conferences: Jerusalem. Informing Science Institute, 2019. http://dx.doi.org/10.28945/4347.

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Aim/Purpose: To understand the current state of the body of literature in blockchain technology and propose dimensions for acceptance. Background: Blockchain technology has large promise to replace centralized and even distributed database systems. Its premise focuses on issues such as transparency, immutability, and privacy of transactions. Created for bitcoin, researchers and practitioners have begun to see its potential in different areas and industries. Its acceptance is still debatable as there are a number of issues still to be resolved. Methodology: We conducted a literature review to a

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Moura, Janayna, Lucas Bissaro, Fernanda Santos, and Murillo Carneiro. "Deep Learning in Risk Assessment." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/eniac.2019.9358.

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Credit evaluation models have been largely studied in the accounting and finance literature. With the support of such models, usually developed as part of a data mining process, it is possible to classify the credit applicants more accurately into ``good'' or ``bad'' risk groups. Despite many machine learning techniques have been extensively evaluated to this problem, deep learning models have been barely explored yet, although they have provided state-of-the-art results for a myriad of applications. In this paper, we propose deep learning models for the credit evaluation problem. To be specif

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Reports on the topic "Web applications – Finance"

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Inter-American Development Bank Sustainability Report 2020. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003098.

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Sustainability is a core element of the IDBs work. Long-term economic growth, and the reduction of poverty and inequality in Latin America and the Caribbean depend on development that is economically, financially, environmentally, socially, and institutionally sustainable. The IDBs annual Sustainability Report presents our approach to sustainability and showcases operations and research that are contributing to the sustainable development of the region. The report also presents key data, detailing the greenhouse gas (GHG) footprint of our lending portfolio, the climate finance we provide, disa

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