Relevant bibliographies by topics / State finance optimization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'State finance optimization'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "State finance optimization"

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Shevchenko, Maria N. "AREAS OF OPTIMISATION OF PUBLIC FINANCES." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 12/17, no. 153 (2024): 167–73. https://doi.org/10.36871/ek.up.p.r.2024.12.17.021.

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The article studies the structure of public finances, presents their principles, functions and content of the process and interrelations between the cycles of their accumulation, formation and distribution. The levels of public finance are presented taking into account the principles of client-oriented state. The priority directions of optimization of public finances and change of their role in the issue of development of social sphere of economy are formulated. The conducted research gives grounds to assert that in modern conditions the public finance system is based on decentralization, dele
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Gamukin, V. "Novations in Budgetary Process: Budgeting Focused on Result." Voprosy Ekonomiki, no. 2 (February 20, 2005): 4–22. http://dx.doi.org/10.32609/0042-8736-2005-2-4-22.

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In the article the starting condition of applicating the new method of organization of the budgetary process - the budgeting focused on result is estimated. The importance of specification of the conceptual and methodical device of budgeting with reference to the public finance is underlined. It is conditioned by the fact that rich foreign and domestic practice of budgeting in commercial sector cannot be directly used for optimization of a trajectory of movement of state and municipal finances.
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Wang, Huanhuan, and Limei Fu. "Green Finance Promotes High-Quality Development of Regional Economy." Proceedings of Business and Economic Studies 7, no. 2 (2024): 157–62. http://dx.doi.org/10.26689/pbes.v7i2.6782.

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With the rapid development of the social economy, the role of green finance in promoting the high-quality development of regional economies is increasing day by day. The advancement of green finance not only aids in fostering the green transformation and upgrading of regional economies but also helps mitigate the risks of environmental damage stemming from traditional economic activities. In this new era, it is imperative to embrace the concept of green finance development and innovate green finance practices to further drive high-quality regional economic development. This paper will analyze
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BOUVERET, GÉRALDINE. "PORTFOLIO OPTIMIZATION UNDER A QUANTILE HEDGING CONSTRAINT." International Journal of Theoretical and Applied Finance 21, no. 07 (2018): 1850048. http://dx.doi.org/10.1142/s0219024918500486.

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We study a problem of portfolio optimization under a European quantile hedging constraint. More precisely, we consider a class of Markovian optimal stochastic control problems in which two controlled processes must meet a probabilistic shortfall constraint at some terminal date. We denote by [Formula: see text] the corresponding value function. Following the arguments introduced in the literature on stochastic target problems, we convert this problem into a state constraint one in which the constraint is defined by means of an auxiliary value function [Formula: see text] characterizing the rea
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SHARDIN, ANTON A., and MICHAELA SZÖLGYENYI. "OPTIMAL CONTROL OF AN ENERGY STORAGE FACILITY UNDER A CHANGING ECONOMIC ENVIRONMENT AND PARTIAL INFORMATION." International Journal of Theoretical and Applied Finance 19, no. 04 (2016): 1650026. http://dx.doi.org/10.1142/s0219024916500266.

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In this paper, we consider an energy storage optimization problem in finite time in a model with partial information that allows for a changing economic environment. The state process consists of the storage level controlled by the storage manager and the energy price process, which is a diffusion process the drift of which is assumed to be unobservable. We apply filtering theory to find an alternative state process which is adapted to our observation filtration. For this alternative state process, we derive the associated Hamilton–Jacobi–Bellman equation and solve the optimization problem num
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Jiao, Yifei. "Research on Supply Chain Finance Financing Mode in China under Digitalization." Frontiers in Business, Economics and Management 17, no. 2 (2024): 165–70. https://doi.org/10.54097/fbdq7w90.

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Digital empowerment may help businesses manage their supply networks more effectively, improve the efficiency and quality of supply chain financing, broaden equity financing channels, and encourage sustainable and healthy growth. Against this backdrop, new requirements have been raised for supply chain finance, making the transformation to digital empowerment in supply chain finance imperative. The effective application of supply chain finance financing methods aids enterprises in achieving innovative development and improving their core competitiveness. Based on this, the article studies the
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Calvo-Pardo, Hector F., Tullio Mancini, and Jose Olmo. "Neural Network Models for Empirical Finance." Journal of Risk and Financial Management 13, no. 11 (2020): 265. http://dx.doi.org/10.3390/jrfm13110265.

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This paper presents an overview of the procedures that are involved in prediction with machine learning models with special emphasis on deep learning. We study suitable objective functions for prediction in high-dimensional settings and discuss the role of regularization methods in order to alleviate the problem of overfitting. We also review other features of machine learning methods, such as the selection of hyperparameters, the role of the architecture of a deep neural network for model prediction, or the importance of using different optimization routines for model selection. The review al
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Kevin Ramadhany Sukmana. "Implementasi dan Optimalisasi Digitalisasi Pembukuan Ekspedisi pada Corporate Finance PT PLN Nusantara Power Services." MENAWAN : Jurnal Riset dan Publikasi Ilmu Ekonomi 3, no. 1 (2024): 178–85. https://doi.org/10.61132/menawan.v3i1.1169.

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The budget division has responsibility for tasks that are usually carried out including financial management, analysis and budget control in the company The aim of this research is to determine the implementation and optimization of digitalization of expedition bookkeeping in the budget division by employees of the State Electricity Company Nusantara Power Services (PT. PLN-NPS) at the Sidoarjo head office, East Java. This research uses field research methods by collecting data through reviewing internship activities and using previous research regarding the budget division. The research resul
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Harmanto, Rudi, and Khairul Khairul. "Pengaruh Potensi Pajak Daerah , Optimalisasi Pajak dan Insentif Pajak terhadap Realisasi Penerimaan Pendapatan Asli Daerah pada Badan Keuangan Kota Bukittinggi." Jurnal Ekonomika Dan Bisnis (JEBS) 2, no. 1 (2022): 302–13. http://dx.doi.org/10.47233/jebs.v2i1.102.

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This study aims to determine and analyze the effect of analyzing the potential effect of local taxes, analyzing the effect of tax optimization and analyzing the effect of tax incentives on the realization of local revenue receipts at the Bukittinggi City Finance Agency.This type of research is quantitative descriptive with the object of research being taxpayers and state civil servants at the Bukittinggi City Finance Agency. The data used are primary and secondary data. The population of this study is taxpayers and employees of the Financial Agency in the Bukittinggi City Financial Agency whic
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Steffensen, Mogens. "Quadratic Optimization of Life and Pension Insurance Payments." ASTIN Bulletin 36, no. 01 (2006): 245–67. http://dx.doi.org/10.2143/ast.36.1.2014151.

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Quadratic optimization is the classical approach to optimal control of pension funds. Usually the payment stream is approximated by a diffusion process. Here we obtain semiexplicit solutions for quadratic optimization in the case where the payment process is driven by a finite state Markov chain model commonly used in life insurance mathematics. The optimal payments are affine in the surplus with state dependent coefficients. Also constraints on payments and surplus are studied.
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Dissertations / Theses on the topic "State finance optimization"

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Bonelli, Maxime. "Modélisation stochastique des marchés financiers et optimisation de portefeuille." Thesis, Université Côte d'Azur (ComUE), 2016. http://www.theses.fr/2016AZUR4050/document.

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Cette thèse présente trois contributions indépendantes. La première partie se concentre sur la modélisation de la moyenne conditionnelle des rendements du marché actions : le rendement espéré du marché. Ce dernier est souvent modélisé à l'aide d'un processus AR(1). Cependant, des études montrent que lors de mauvaises périodes économiques la prédictibilité des rendements est plus élevée. Etant donné que le modèle AR(1) exclut par construction cette propriété, nous proposons d'utiliser un modèle CIR. Les implications sont étudiées dans le cadre d'un modèle espace-état bayésien. La deuxième parti
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Лопаткіна, І. В., А. Н. Омардібірова та П. Н. Омардібірова. "Проблема державного боргу України як фактор конкурентоспроможності в умовах глобальної кризи". Thesis, Українська академія банківської справи Національного банку України, 2010. http://essuir.sumdu.edu.ua/handle/123456789/62051.

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Larlar, Selim. "Portfolio optimization analysis of federation of Euro-Asian stock exchances (FEAS)." CSUSB ScholarWorks, 2003. https://scholarworks.lib.csusb.edu/etd-project/2365.

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The results of this thesis suggest that investors should invest in portfolios consisting of the Standard and Poor's 500, the Ten Composite Index and the ten founding stock exchanges, rather than only invest in either the ten founding stock exchanges or Standard and Poor's 500.
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Books on the topic "State finance optimization"

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Power, United States Congress Senate Committee on Energy and Natural Resources Subcommittee on Water and. Water optimization and Bureau of Reclamation bills: Hearing before the Subcommittee on Water and Power of the Committee on Energy and Natural Resources, United States Senate, One Hundred Sixth Congress, second session, on S. 2877 ... S. 2881 ... S. 2882 ... July 25, 2000. U.S. G.P.O., 2001.

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Din, Roshidi, Siti Sakira Kamaruddin, Angela Amphawan, and Mohd Nizam Omar. Basic discrete structures. UUM Press, 2015. http://dx.doi.org/10.32890/9789670876177.

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Digital technology has pervaded almost all spheres of life.Due to the importance of discrete information in our increasingly digital world, familiarity with the underlying principles, concepts and operations on discrete information is inevitable.This book is intended as a basic course for introducing students to abstract mathematical structures to represent discrete information and relationships between them.These discrete structures include sets, sequences, permutations, combinations, functions, trees and finite-state machines which are predominantly used in computer science and data networki
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Book chapters on the topic "State finance optimization"

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Heitsch, Holger, and Werner Römisch. "Scenario Tree Generation for Multi-stage Stochastic Programs." In Stochastic Optimization Methods in Finance and Energy. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9586-5_14.

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Manoharan, Geetha, and Dina Darwish. "Revolutionize the Financial Services." In Advances in Finance, Accounting, and Economics. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-8507-4.ch021.

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AI is transforming the finance industry. This chapter discusses AI and its implications, advantages, and limitations in finance. We explore Machine Learning (ML) and Deep Learning (DL) methods, which are widely used to analyze massive datasets, find patterns, and anticipate in risk management, portfolio optimization, and fraud detection. This chapter covers the current state of AI in finance, including its applications in investment banking, asset management, and insurance. AI's benefits in finance include accuracy, efficiency, and customer experience. Finance AI implementation obstacles inclu
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Voropai, N. I., A. Z. Gamm, A. M. Glazunova, et al. "Application of Meta-Heuristic Optimization Algorithms in Electric Power Systems." In Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2086-5.ch019.

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Optimization of solutions on expansion of electric power systems (EPS) and their control plays a crucial part in ensuring efficiency of the power industry, reliability of electric power supply to consumers and power quality. Until recently, this goal was accomplished by applying classical and modern methods of linear and nonlinear programming. In some complicated cases, however, these methods turn out to be rather inefficient. Meta-heuristic optimization algorithms often make it possible to successfully cope with arising difficulties. State estimation (SE) is used to calculate current operatin
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Keri, Igor, Elena Gromova, and Nadezhda Sinelschikova. "Features of Financial Policy Development by Russian Companies in Today's Conditions." In Global Trends of Modernization in Budgeting and Finance. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7760-7.ch004.

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The chapter includes the proposals regarding the development of rational financial policies by Russian companies in today's conditions. The authors have identified the following areas of difficulties: sales; deficit of financial resources for investment in development and distribution; instability and unpredictability of external conditions. Changes in price policies, optimization of components and volume of trade account receivables are some of the suggested ways of how to improve company's sales. The solution to the lack of financial resources for company's investment development can be foun
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Ishrath and S. Devi. "Policy Optimization and Actor-Critic Methods in Complex Decision-Making Frameworks." In Deep Reinforcement Learning Applications in Autonomous Systems and Decision Making. RADemics Research Institute, 2025. https://doi.org/10.71443/9789349552982-02.

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This book chapter explores the integration of Policy Optimization and Actor-Critic methods within complex decision-making frameworks, highlighting their critical role in enhancing autonomous systems and real-time decision processes. It delves into the theoretical foundations of these techniques, emphasizing their applications in dynamic environments with high-dimensional state and action spaces. By examining recent innovations and real-world barriers, the chapter provides a comprehensive understanding of the challenges and opportunities associated with scaling these methods. Special attention
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Patil, Pradip. "Fundamentals of Quantum Computing Principles Qubits and Quantum Gates." In Hybrid Algorithms for Quantum Computing and Artificial Intelligence. RADemics Research Institute, 2024. https://doi.org/10.71443/9788197933646-02.

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Quantum computing represents a paradigm shift in computational capabilities, leveraging the principles of quantum mechanics to solve complex problems beyond the reach of classical computing. This chapter explores the fundamental concepts of qubits and quantum gates, providing a detailed analysis of their theoretical foundations and physical realizations. Emphasis was placed on the challenges and advancements in quantum error correction techniques, addressing critical issues such as decoherence and the scalability of quantum systems. The chapter examines the burgeoning field of quantum algorith
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Koba, Olena. "ACCOUNTING OUTSOURCING: CURRENT STATE AND PROBLEMS OF PRACTICAL IMPLEMENTATION." In European vector of development of the modern scientific researches. Publishing House “Baltija Publishing”, 2021. http://dx.doi.org/10.30525/978-9934-26-077-3-32.

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The purpose of the article is to determine the theoretical and organizational principles of application of accounting outsourcing by business entities. Methodology. Methods of analysis and synthesis were used to determine the characteristics and features of the organization of accounting outsourcing. The generalization of the existing experience of application of accounting outsourcing is carried out by a monographic method. On the basis of economic analysis and comparison, trends in the development of accounting outsourcing are identified. Methodology. The development of outsourcing is explai
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Szívós, Alexander. "SUSTAINABILITY IN FINANCE." In Regional Law Review. Institute of Comparative Law, 2022. http://dx.doi.org/10.56461/iup_rlrc.2022.3.ch16.

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Sustainability has received more and more attention over the past years and its environmental, social and governance (hereinafter ESG) factors even more so. The theme has long passed the stage of being just about the environment or the climate. The term ESG has a very wide scope. It encompasses an extensive range of considerations, including tax. Major international organizations have recognized the role that taxation could play in achieving the United Nations Sustainable Development Goals. Contributing their fair share to public revenue has become a reputational risk, especially to multinatio
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Yi, Xiaojing. "Carbon Finance: Empowering Carbon Emission Reduction with the Power of Finance." In Economic Development and Growth - Foundations and Frontiers [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1011372.

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At this stage, it has become an international consensus that human activities lead to an increase in carbon dioxide emissions, which in turn affects socioeconomic development. Finance is the core of the contemporary economy, and the financialization of the economy is a process that accompanies the development of the market economy and the deepening of finance, a process that is inevitably accompanied by the generation of carbon emissions. Therefore, we have reason to believe that there is an important linkage between economic financialization and carbon emissions. Taking China as an example, i
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Litvinchev, Igor, Miguel Mata, Lucero Ozuna, Jania Saucedo, and Socorro Rangel. "Two Stage Capacitated Facility Location Problem." In Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2086-5.ch014.

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In the two-stage capacitated facility location problem, a single product is produced at some plants in order to satisfy customer demands. The product is transported from these plants to some depots and then to the customers. The capacities of the plants and depots are limited. The aim is to select cost minimizing locations from a set of potential plants and depots. This cost includes fixed cost associated with opening plants and depots, and variable cost associated with both transportation stages. In this work two different mixed integer linear programming formulations are considered for the p
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Conference papers on the topic "State finance optimization"

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Costa, Caio de Souza Barbosa, and Anna Helena Reali Costa. "POE: A General Portfolio Optimization Environment for FinRL." In Brazilian Workshop on Artificial Intelligence in Finance. Sociedade Brasileira de Computação, 2023. http://dx.doi.org/10.5753/bwaif.2023.231144.

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Portfolio optimization is a common task in financial markets in which a manager rebalances the invested assets in the portfolio periodically aiming to make a profit, minimize losses and maximize long-term returns. Due to their great adaptability, Reinforcement Learning (RL) techniques are considered convenient for this task but, despite RL’s great results, there is a lack of standardization related to simulation environments. In this paper, we present an RL environment for the portfolio optimization problem based on state-of-the-art mathematical formulations. The environment aims to be easy-to
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Yang, Daguang, and He Zhang. "The Comparison of Policy Supports of States' Carbon Finance Development Among Countries and Implications to China." In 2011 Fourth International Joint Conference on Computational Sciences and Optimization (CSO). IEEE, 2011. http://dx.doi.org/10.1109/cso.2011.259.

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Shanidze, Goderdzi. "The Role of State Support in Business Development." In Multidisciplinary International Scientific Conference: „Sustainable Development: Modern Trends and Challenges“. Kutaisi University, 2024. https://doi.org/10.52244/c.2024.11.33.

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In order to start and develop business activities in the country, it is necessary to have an attractive, perfect tax system, the formation and renewal of the tax system must be done continuously and must be in accordance with international tax practice, must be close to the legislation of the European Union, etc. The state applies various measures to support business, including tax incentives. The state's grant program "Produce in Georgia" made a great contribution to the development of new businesses in the country, existing businesses were expended and local workforce was employed. The "Prod
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Chirtoaca, Iraida, and Angela Popovici. "Accounting aspects and challenges in vat administration in the Republic of Moldova." In International student scientific conference, ISSC 2025 "Challenges of accounting for young researchers", 9th Edition. Academy of Economic Studies, 2025. https://doi.org/10.53486/issc2025.44.

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The state budget is the basic source for financing open uses, basically composed of incomes collected from charges and obligations. The Value Added Tax (VAT) is a critical component of the Republic of Moldova's fiscal structure, having a considerable impact on both the economy and the public budget.. VAT is crucial for supporting public finances and stimulating the economy. Its proper application and efficient administration contribute to reducing tax evasion, increasing budget revenues, and ensuring tax fairness. The topic is relevant for understanding the impact of taxation on the economy an
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Korobeinikova, Larisa, and Artem Krivosheyev. "Information Support for the Analysis and Control of the Procurement of Goods, Works and Services of a Medical Organization." In The XX International Scientific Conference "Functioning of Investments Financed from State Resources and from Other Sources in The Countries of Central And Eastern Europe". Temida 2, 2022. http://dx.doi.org/10.15290/ipf.2022.09.

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In the public sector, the optimization of procurement is the most important lever to increase efficiency. The purchase of goods and services make up the bulk of government spending, that is, the optimization of procurement can signifi cantly reduce budget expenditures. The effect of optimizing purchases is not limited to saving money. This tool is able to provide public institutions with a number of intangible advantages, one of which is transparency. Having accurate information about where and how much money is spent, as well as using simple standardized procedures for managing budget expendi
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Burnásov, A. S., D. S. Zheriborov, and E. V. Zheriborova. "Machine Results Interpreting and Data Understanding." In International scientific and practical conference “Smart cities and sustainable development of regions” (SMARTGREENS 2024). Crossref, 2025. https://doi.org/10.63550/iceip.2025.1.1.061.

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Machine learning solves a large number of tasks that a human could not cope with. It has huge potential and is applicable in many areas of human activity. However, often scientists in the field of machine learning, getting the results of the models, can not get an accurate forecast, explain, or interpret the data obtained. The stage of analysis and preparation of data is one of the main tasks. In machine learning, data play a critical role, machine learning model developers often ignore them or treat them incorrectly. As a result, hundreds of hours are spent on adjusting the model based on inc
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Radescu, Radu, and Tudor Ardelean. "E-BUSINESS LEARNING TOOL FOR ONLINE BANKING BASED ON BPM (BUSINESS PROCESS MANAGEMENT)." In eLSE 2019. Carol I National Defence University Publishing House, 2019. http://dx.doi.org/10.12753/2066-026x-19-047.

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Business Process Management (BPM) is a discipline involving any combination of modeling, automation, execution, control, measurement and optimization of business flow. BPM should take into account well-defined input data and a single set of output data. BPM platforms include a portal and a user dashboard, providing concept, simulation, rule definition, process execution, integration, monitoring, and optimization functions. The purpose of this paper is to develop a learning application for the management of banking processes and related databases, which can be used to model the business process
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Krasova, D., O. J. Andersen, and C. Achen. "Enhanced Well Cost Management Through Innovative Methodology in Drilling and Completions Cost Estimation and Tracking: A Case Study in Malaysia." In International Petroleum Technology Conference. IPTC, 2025. https://doi.org/10.2523/iptc-25091-ms.

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Abstract The development of marginal fields with limited budgets necessitates effective well cost management, beginning with cost estimation for investment decision-making, continuing through cost estimation for corporate budgeting, evaluation of cost-saving potentials through well plan optimization, and well cost monitoring during operation. This paper describes the implementation of advanced methodologies utilizing digital tools to modernize the well construction cost management workflow, adopted by an operator in Malaysia. The application's flexible architecture facilitates a scalable workf
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Markopoulos, Evangelos, Kwame Ofori, and Hannu Vanharanta. "Understanding corporate innovation readiness and frequency factors with the Democratic Survival, Mirrored and Compulsive (DSMC) Framework." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001510.

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Innovation, and technological innovation in particular, seems to be the driving force in the modern entrepreneurial revolution that stated at the beginning of this century. The .net phenomenon with the rise of the internet active users made the word flat, increased the business opportunities but also decreased the success rate. Blue oceans strategies have been replaced by Green and Pink oceans strategies in a continuous effort to stay current with the global innovation trends, needs and expectations. Most of the businesses across all industries seek micro-innovations to improve their product o
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