Relevant bibliographies by topics / Financet Computer simulation

Academic literature on the topic 'Financet Computer simulation'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Financet Computer simulation"

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PREVE, NIKOLAOS P., and EMMANUEL N. PROTONOTARIOS. "MONTE CARLO SIMULATION ON COMPUTATIONAL FINANCE FOR GRID COMPUTING." International Journal of Modeling, Simulation, and Scientific Computing 03, no. 03 (May 17, 2012): 1250010. http://dx.doi.org/10.1142/s1793962312500109.

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Monte Carlo methods are a class of computational algorithms that rely on repeated random sampling to compute their results. Monte Carlo methods are often used in simulating complex systems. Because of their reliance on repeated computation of random or pseudo-random numbers, these methods are most suited to calculation by a computer and tend to be used when it is infeasible or impossible to compute an exact result with a deterministic algorithm. In finance, Monte Carlo simulation method is used to calculate the value of companies, to evaluate economic investments and financial derivatives. On the other hand, Grid Computing applies heterogeneous computer resources of many geographically disperse computers in a network in order to solve a single problem that requires a great number of computer processing cycles or access to large amounts of data. In this paper, we have developed a simulation based on Monte Carlo method which is applied on grid computing in order to predict through complex calculations the future trends in stock prices.
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Zhao, Xiao Bo. "Research on Computer Simulation in Titanium Dioxide Photocatalytic Experiment." Advanced Materials Research 1049-1050 (October 2014): 64–68. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.64.

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experiment is the basis of research on titanium dioxide (TiO2) photocatalysis. However, the proceeding of experiment need consume large amount of time, finance and vigor. Computer simulation realizes the mutual effect with outside by system of computer simulating authentic material, which can reduce unnecessary consumption. Computer simulation application provides new tool for TiO2 catalytic experiment and improve the efficiency. This paper summarized the basic structure of TiO2 as well as the mechanism and process of photocatalysis, introduced the main method and relative software of theoretical simulation mathematics, and summarized the advantage of computer simulation in micro field based on the limitation of experiment.
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Castiglione, F. "AGENT-BASED MICRO-SIMULATIONS IN IMMUNOLOGY AND FINANCE." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 1 (June 26, 2006): 319. http://dx.doi.org/10.17770/etr2003vol1.1978.

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In the search for computational models that help to understand the dynamics of Complex Systems, one can take a great advantage from the impressive acceleration of computer tools and techniques. In fact the very structure of computation on digital computers has inspired the introduction of new class of models (algorithms), where interaction among degrees of freedom are expressed by logical rules acting over a discrete state space – something much closer to "biological language" than to standard (floating point) physical models. Starting from the definitions of spin systems, with little changes we reach a definition a new model that is well suited to describe different simulation systems. Such class of models is can be considered a subclass of the Agent-Based systems in vogue nowadays. Moreover, we shortly describe two microscopic simulators of this type, which are being used to study microscopic phenomena in two completely different fields of application, namely immunology and finance. As a final remark, given the lattice representation of space, such computational-modeling paradigm is well suited for efficient and "relatively simple" parallelization. Indeed, both models have been implemented to run on parallel computers adopting the Message Passing paradigm for Distributed Memory machines.
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Picus, Lowrence O. "A Computer Simulation for Teaching School Finance." Journal of Policy Analysis and Management 13, no. 2 (1994): 377. http://dx.doi.org/10.2307/3325021.

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Sachdeva, Darshan. "Psychology of Computer Use: XI. Students' Attitudes toward Use of Computer-Simulation Games in Teaching Business Finance." Psychological Reports 64, no. 3_suppl (June 1989): 1195–98. http://dx.doi.org/10.2466/pr0.1989.64.3c.1195.

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105 students' attitudes toward use of computerized simulation games in teaching an introductory course in money, banking, and financial institutions were assessed. Responses indicate that most students favored use of computer-simulation games method of instruction in this course. They also thought that students majoring in finance should take at least one finance course which used computerized simulation games.
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Kutergina, Evgeniia. "Computer-Based Simulation Games in Public Administration Education." NISPAcee Journal of Public Administration and Policy 10, no. 2 (December 20, 2017): 119–33. http://dx.doi.org/10.1515/nispa-2017-0014.

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Abstract Computer simulation, an active learning technique, is now one of the advanced pedagogical technologies. Th e use of simulation games in the educational process allows students to gain a firsthand understanding of the processes of real life. Public- administration, public-policy and political-science courses increasingly adopt simulation games in universities worldwide. Besides person-to-person simulation games, there are computer-based simulations in public-administration education. Currently in Russia the use of computer-based simulation games in Master of Public Administration (MPA) curricula is quite limited. Th is paper focuses on computer- based simulation games for students of MPA programmes. Our aim was to analyze outcomes of implementing such games in MPA curricula. We have done so by (1) developing three computer-based simulation games about allocating public finances, (2) testing the games in the learning process, and (3) conducting a posttest examination to evaluate the effect of simulation games on students’ knowledge of municipal finances. Th is study was conducted in the National Research University Higher School of Economics (HSE) and in the Russian Presidential Academy of National Economy and Public Administration (RANEPA) during the period of September to December 2015, in Saint Petersburg, Russia. Two groups of students were randomly selected in each university and then randomly allocated either to the experimental or the control group. In control groups (n=12 in HSE, n=13 in RANEPA) students had traditional lectures. In experimental groups (n=12 in HSE, n=13 in RANEPA) students played three simulation games apart from traditional lectures. Th is exploratory research shows that the use of computer-based simulation games in MPA curricula can improve students’ outcomes by 38 %. In general, the experimental groups had better performances on the post-test examination (Figure 2). Students in the HSE experimental group had 27.5 % better scores than students in the HSE control group. Students of the RANEPA experimental group had 38.0 % better scores than students in the RANEPA control group. Research indicates that lecture-based courses are less effective than courses with more interactive approaches. Therefore, our study highlights the need to implement computer-based simulation games in MPA programmes in Russian universities. Computer-based simulation games provide students with practical skills for their future careers.
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Radosinshi, Edward, and Leopold Szczurowski. "Computer Simulation Applied To Education in a Firms Finances." Simulation & Games 16, no. 4 (December 1985): 417–28. http://dx.doi.org/10.1177/104687818501600403.

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Utomo, Langgeng Pirayitno, and Benih Hartanti. "Literasi Keuangan: Pelatihan Investasi Saham Melalui Pengenalan Pasar Modal Indonesia kepada Investor Milenial." Journal of Dedicators Community 5, no. 2 (July 27, 2020): 94–102. http://dx.doi.org/10.34001/jdc.v5i2.1196.

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Understanding of finance is important, especially for people who want to invest, it is aimed at obtaining maximum returns or returns from investments. The condition of the selected service partners, namely students and the general public who have an interest in investing, currently do not really understand personal finance so they are unable to manage their own finances which results in not understanding how to start investing. The purpose of this activity is to introduce the importance of understanding personal finance so as to be able to measure the extent to which personal financial conditions can be used to invest in the Indonesian capital market to service partners, namely young potential investors. The training activities are carried out in the computer laboratory of STIE PGRI Dewantara Jombang with lecture, question and answer methods, and practice. The material for the activity consists of the basic theory of financial management, introduction to investment, fundamental and technical analysis, and trading simulations. The results of this activity are: 1) service partners have a new understanding of financial literacy and personal finance well; 2) partners are better prepared when they are going to invest in shares or trade in the capital market; 3) the interest of partners to be able to invest is higher than before.
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Drayer, Joris, and Dan Rascher. "Simulation in Sport Finance." Simulation & Gaming 41, no. 2 (July 25, 2008): 231–37. http://dx.doi.org/10.1177/1046878108321872.

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Reutov, Viktor Yevgeniyevich, Viktoriya Vladimirovna Reutova, Larisa Аnatolievna Kravchenko, and Irina Аnatolievna Troyan. "BUSINESS SIMULATION AS AN INTERACTIVE METHOD FOR TRAINING ECONOMISTS." Scientific Bulletin: finance, banking, investment., no. 1 (54) (2022): 162–71. http://dx.doi.org/10.37279/2312-5330-2021-1-162-171.

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n the article, the authors identified the essence of the main categories of research: simulation, computer simulation, business simulation. Business simulation is viewed as an interactive method for training economists, which has a system of rules and objectives and is aimed at forming a set of competencies that will help the student in subsequent economic activities. Business simulation has a clearly defined educational goal — the development of practical skills and competencies by the participants. The authors identified the key advantages of using business simulation, including: differentiation and adaptability of model changes; an integrated approach to the study of an object, verifiability of various approaches, the possibility of solving a variety of problems. The authors noted the disadvantages of using business simulation: psychological characteristics of the transition to innovative methods of training students, poor awareness, lack of digital competencies, low motivation of teachers, problems with access to resources and tools. With the use of a systematic analysis of the advantages and disadvantages, the expediency of introducing business simulation into the educational process in higher educational institutions for students of economic training is substantiated. The authors analyzed the experience of using business simulations popular in foreign universities and business schools, including Blue Ocean Strategy Simulation (BOSS), Capsim Capstone Business Simulation, Capsim Foundation, Cesim, Edumundo, Online Simulations Harvard Business Publishing Reality Works Business Education Simulations, Traction. The authors considered Russian projects of business simulations: Business course: Corporation Plus, Nixdorf «Exchange», Nixdorf «Delta», ViAL +. The authors identified economic disciplines, in teaching which business simulation should be used (accounting and audit, economic theory, finance, enterprise economics, management, trade, investment analysis, marketing). This will allow updating education and bringing new business graduates to the market and, as a consequence, increasing the efficiency of the national economy. It was emphasized that further research requires studying the experience of using business simulation games in universities and business schools
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Dissertations / Theses on the topic "Financet Computer simulation"

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Katz, Jonathan L. "A practicability study on the development of a standard, stand-alone computerized contract pricing model for contract pricing and negotiations." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA232012.

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Thesis (M.S. in Management)--Naval Postgraduate School, June 1990.
Thesis Advisor(s): Hart, E. Neil. Second Reader: Liao, Shu. "June 1990." Description based on signature page. DTIC Identifier(s): Contract pricing model, contract administration, pricing, negotiations, computerized simulation, theses. Author(s) subject terms: Pricing model; contract pricing and negotiations. Includes bibliographical references (p. 115). Also available online.
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Derveeuw, Julien. "Simulation multi-agents de marchés financiers." Phd thesis, Université des Sciences et Technologie de Lille - Lille I, 2008. http://tel.archives-ouvertes.fr/tel-00839383.

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Les simulations par agents, ou centrées individu, permettent, par opposition aux modèles centrés groupe, de prendre en compte la manière dont les entités composant un sys- tème interagissent entre elles et ainsi de faire le lien entre ses niveaux microscopiques et macroscopiques. Les marchés financiers, bien qu'étant des systèmes composés de nombreuses entités en interaction, sont souvent étudiés à l'aide de modèle centrés groupe, qui montrent leur limites lorsqu'il s'agit d'expliquer l'émergence de certains phénomènes observables dans les séries de prix. Nous proposons par conséquent un modèle de marché financier centré individu, permettant de reproduire de manière réaliste leur fonctionnement, à la fois à une échelle intra-journalière et à une échelle inter-journalière. Ce modèle nous a permis dans un premier temps de proposer une théorie pour expliquer l'origine des faits stylisés, qui sont des propriétés statistiques des cours de prix observables sur l'ensemble des marchés financiers et dont l'origine est mal expliquée. Notre proposition, étayée par les expérimentations que nous avons réalisées avec notre modèle, montre que les faits stylisés semblent en majeure partie causés par la manière dont le marché est structuré et par la manière dont les agents économiques interagissent à travers lui. Dans un second temps, nous avons utilisé notre modèle pour étudier les variations extrêmes de prix observables sur les marchés financiers, que l'on nomme "bulles" quand elles sont à la hausse et "krachs" quand elles sont à la baisse. Nous avons illustré avec notre modèle, en nous appuyant sur les théories proposées par certains économistes pour expliquer ces événéments, que ces épisodes critiques dans les prix peuvent survenir lorsqu'une partie suffisante de la population des investisseurs adopte une stratégie spéculatrice.
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Faleiro, Jorge. "Supporting large scale collaboration and crowd-based investigation in economics : a computational representation for description and simulation of financial models." Thesis, University of Essex, 2018. http://repository.essex.ac.uk/21782/.

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Finance should be studied as a hard science, where scientific methods apply. When a trading strategy is proposed, the underlying model should be transparent and defined robustly to allow other researchers to understand and examine it thoroughly. Any reports on experimental results must allow other researchers to trace back to the original data and models that produced them. Like any hard sciences, results must be repeatable to allow researchers to collaborate and build upon each other’s results. Large-scale collaboration, when applying the steps of scientific investigation, is an efficient way to leverage crowd science to accelerate research in finance. Unfortunately, the current reality is far from that. Evidence shows that current methods of investigation in finance in most cases do not allow for reproducible and falsifiable procedures of scientific investigation. As a consequence, the majority of financial decisions at all levels, from personal investment choices to overreaching global economic policies, rely on some variation of try-and-error and are mostly non-scientific by definition. We lack transparency for procedures and evidence, proper explanation of market events, predictability on effects, or identification of causes. There is no clear demarcation of what is inherently scientific, and as a consequence, the line between fake and true is blurred. In this research, we advocate the use of a next-generation investigative approach leveraging forces of human diversity, micro-specialized crowds, and proper computer-assisted control methods associated with accessibility, reproducibility, communication, and collaboration. This thesis is structured in three distinctive parts. The first part defines a set of very specific cognitive and non-cognitive enablers for crowd-based scientific investigation: methods of proof, large-scale collaboration, and a domain-specific computational representation. These enablers allow the application of procedures of structured scientific investigation powered by crowds, a “collective brain in which neurons are human collaborators”. The second part defines a specialized computational representation to allow proper controls and collaboration in large-scale in the field of economics. A computational representation is a role-based representation system based on facets, contributions, and constraints of data, and used to define concepts related to a specific domain of knowledge for crowd-based investigation. The third and last part performs an end-to-end investigation of a non-trivial problem in finance by measuring the actual performance of a momentum strategy in technical analysis, applying formal methods of investigation developed over the first and second part of this research.
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Reddy, Praneel. "Cognitive Biases, Volatility, and Risk in Capital Markets: Revealing Risk through Simulation." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/202772.

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The modeling of financial risk, whose shortcomings came to the fore during the financial crisis, generally understands risk from the history of prices and returns. However, the state space of risk is not fully revealed from the history of prices and returns. In this dissertation, certain cognitive biases were modeled, and the simulation results were quantitatively characterized to reveal risk not revealed from the history of prices and returns. This contribution adds to the extant literature on the modeling of financial risk by showing how to reveal parts of the state space of risk not revealed from other methods in use today.
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Li, Qi. "Application of Improved Feature Selection Algorithm in SVM Based Market Trend Prediction Model." Thesis, Portland State University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10979352.

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In this study, a Prediction Accuracy Based Hill Climbing Feature Selection Algorithm (AHCFS) is created and compared with an Error Rate Based Sequential Feature Selection Algorithm (ERFS) which is an existing Matlab algorithm. The goal of the study is to create a new piece of an algorithm that has potential to outperform the existing Matlab sequential feature selection algorithm in predicting the movement of S&P 500 (

GSPC) prices under certain circumstances. The twoalgorithms are tested based on historical data of

GSPC, and SupportVector Machine (SVM) is employed by both as the classifier. A prediction without feature selection algorithm implemented is carried out and used as a baseline for comparison between the two algorithms. The prediction horizon set in this study for both algorithms varies from one to 60 days. The study results show that AHCFS reaches higher prediction accuracy than ERFS in the majority of the cases.

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Güneş, Serkan. "Investment and Financial Forecasting : A Data Mining Approach on Port Industry." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5340.

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ABSTRACT This thesis examines and analyzes the use of data mining techniques and simulations as a forecasting tool. Decision making process for business can be risky. Corporate decision makers have to make decisions to protect company’s benefit and lower the risk. In order to evaluate data mining approach on forecasting, a tool, called IFF, was developed for evaluating and simulating forecasts. Specifically data mining techniques’ and simulation’s ability to predict, evaluate and validate Port Industry forecasts is tested. Accuracy is calculated with data mining methods. Finally the probability of user’s and simulation model’s confidentiality is calculated. The results of the research indicate that data mining approach on forecasting and Monte Carlo method have the capability to forecast on Port industry and, if properly analyzed, can give accurate results for forecasts.
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Nhongo, Tawuya D. R. "Pricing exotic options using C++." Thesis, Rhodes University, 2007. http://hdl.handle.net/10962/d1008373.

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This document demonstrates the use of the C++ programming language as a simulation tool in the efficient pricing of exotic European options. Extensions to the basic problem of simulation pricing are undertaken including variance reduction by conditional expectation, control and antithetic variates. Ultimately we were able to produce a modularized, easily extend-able program which effectively makes use of Monte Carlo simulation techniques to price lookback, Asian and barrier exotic options. Theories of variance reduction were validated except in cases where we used control variates in combination with the other variance reduction techniques in which case we observed increased variance. Again, the main aim of this half thesis was to produce a C++ program which would produce stable pricings of exotic options.
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Astorino, Matteo. "Interaction Fluide-Structure dans le Système Cardiovasculaire. Analyse Numérique et Simulation." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2010. http://tel.archives-ouvertes.fr/tel-00845352.

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Dans cette thèse, nous proposons et analysons des méthodes numériques partitionnées pour la simulation de phénomènes d'interaction fluide-structure (IFS) dans le système cardiovasculaire. Nous considérons en particulier l'interaction mécanique du sang avec la paroi des grosses artères, avec des valves cardiaques et avec le myocarde. Dans les algorithmes IFS partitionnés, le couplage entre le fluide et la structure peut être imposé de manière implicite, semi-implicite ou explicite. Dans la première partie de cette thèse, nous faisons l'analyse de convergence d'un algorithme de projection semi-implicite. Puis, nous proposons une nouvelle version de ce schéma qui possède de meilleures propriétés de stabilité. La modification repose sur un couplage Robin-Robin résultant d'une ré-interprétation de la formulation de Nitsche. Dans la seconde partie, nous nous intéressons à la simulation de valves cardiaques. Nous proposons une stratégie partionnée permettant la prise en compte du contact entre plusieurs structures immergées dans un fluide. Nous explorons également l'utilisation d'une technique de post-traitement récente, basée sur la notion de structures Lagrangiennes cohérentes, pour analyser qualitativement l'hémodynamique complexe en aval des valves aortiques. Dans la dernière partie, nous proposons un modèle original de valves cardiaques. Ce modèle simplifié offre un compromis entre les approches 0D classiques et les simulations complexes d'interaction fluide-structure 3D. Diverses simulations numériques sont présentées pour illustrer l'efficacité et la robustesse de ce modèle, qui permet d'envisager des simulations réalistes de l'hémodynamique cardiaque, à un coût de calcul modéré.
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Brodd, Tobias, and Adrian Djerf. "Monte Carlo Simulations of Stock Prices : Modelling the probability of future stock returns." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229752.

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The financial market is a stochastic and complex system that is challenging to model. It is crucial for investors to be able to model the probability of possible outcomes of financial investments and financing decisions in order to produce fruitful and productive investments. This study investigates how Monte Carlo simulations of random walks can be used to model the probability of future stock returns and how the simulations can be improved in order to provide better accuracy. The implemented method uses a mathematical model called Geometric Brownian Motion (GBM) in order to simulate stock prices. Ten Swedish large-cap stocks were used as a data set for the simulations, which in turn were conducted in time periods of 1 month, 3 months, 6 months, 9 months and 12 months. The two main parameters which determine the outcome of the simulations are the mean return of a stock and the standard deviation of historical returns. When these parameters were calculated without weights the method proved to be of no statistical significance. The method improved and thereby proved to be statistically significant for predictions for a 1 month time period when the parameters instead were weighted. By varying the assumptions regarding price distribution with respect to the size of the current time period and using other weights, the method could possibly prove to be more accurate than what this study suggests. Monte Carlo simulations seem to have the potential to become a powerful tool that can expand our abilities to predict and model stock prices.
Den finansiella marknaden är ett stokastiskt och komplext system som är svårt att modellera. Det är angeläget för investerare att kunna modellera sannolikheten för möjliga utfall av finansiella investeringar och beslut för att kunna producera fruktfulla och produktiva investeringar. Den här studien undersöker hur Monte Carlo-simuleringar av så kallade random walks kan användas för att modellera sannolikheten för framtida aktieavkastningar, och hur simuleringarna kan förbättras för att ge bättre precision. Den implementerade metoden använder den matematiska modellen Geometric Brownian Motion (GBM) för att simulera aktiepriser. Tio svenska large-cap aktier valdes ut som data för simuleringarna, som sedan gjordes för tidsperioderna 1 månad, 3 månader, 6 månader, 9 månader och 12 månader. Huvudparametrarna som bestämmer utfallet av simuleringarna är medelvärdet av avkastningarna för en aktie samt standardavvikelsen av de historiska avkastningarna. När dessa parametrar beräknades utan viktning gav metoden ingen statistisk signifikans. Metoden förbättrades och gav då statistisk signifikans på en 1 månadsperiod när parametrarna istället var viktade. Metoden skulle kunna visa sig ha högre precision än vad den här studien föreslår. Det är möjligt att till exempel variera antagandena angående prisernas fördelning med avseende på storleken av den nuvarande tidsperioden, och genom att använda andra vikter. Monte Carlo-simuleringar har därför potentialen att utvecklas till ett kraftfullt verktyg som kan öka vår förmåga att modellera och förutse aktiekurser.
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Comelli, Michael. "Modélisation, optimisation et simulation pour la planification tactique des chaînes logistiques." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2008. http://tel.archives-ouvertes.fr/tel-00730176.

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Cette thèse se concentre sur deux problèmes tactiques de gestion des chaînes logistiques, la planification tactique et la gestion de stock à demande différenciée. Ainsi, le premier objectif de ce travail est de proposer un modèle de planification tactique générique pour les chaînes logistiques dites à "nomenclature convergente". Une méthode d'optimisation à base de recuit simulé dédié à ce modèle est également proposée. De récents travaux ont montré la pertinence de générer les plans tactiques non plus à partir de ces coûts mais à partir d'indicateurs financiers tels que la la valeur dégagée, etc. Le second objectif de ce mémoire est donc d'étudier les liens entre flux physiques et flux financiers afin de définir des modèles de planification tactique optimisant une fonction financière. La problématique de la répartition de la valeur au sein de la chaîne logistique est également étudiée et nous proposons un modèle mathématique répondant à cette dernière thématique. Une approche intégrée pour la planification tactique d'une chaîne logistique articulée autour d'un chaînage de modèles mathématiques (planification / partage de la valeur) est alors proposée .La deuxième partie de ce mémoire présente l'étude d'un problème de gestion de stock dit à demande différenciée. Une comparaison de plusieurs solutions de gestion est proposée à partir d'un modèle de simulation à événement discret.
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Books on the topic "Financet Computer simulation"

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Tregub, Ilona, and Tat'yana Goroshnikova. A simulation model of decision-making. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1030572.

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A tutorial on the basics of simulation modelling in problems of managerial decision-making, illustrated by numerous practical examples. Contains material contributing to the deepening of theoretical knowledge and practical skills of the student in the application of computer simulation modeling of economic, social and technological systems for the formation, adoption and implementation of managerial decisions. Meets the requirements of Federal state educational standards of higher education of the last generation. Intended for graduate students in the study of disciplines "Mathematical and instrumental methods of decision support" (area of training 09.04.03 Applied Informatics, master's program "Applied information science in analytical Economics") and "simulation modeling of economic and information systems (advanced course)" (specialty 01.04.02 - "Applied mathematics and computer science", master program "Quantitative methods in Finance and Economics"). Will be useful to undergraduate students as well as middle managers and senior managers to understand the methods of computer modeling in support of decision making and developing them on the basis of sound management decisions.
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Simulation zur kommunalen Haushaltsplanung. Frankfurt am Main: P. Lang, 1992.

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1954-, Picus Larry, ed. School finance: A policy perspective. New York: McGraw-Hill, 1992.

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1954-, Picus Larry, ed. School finance: A policy perspective. 3rd ed. Boston, Mass: McGraw-Hill, 2004.

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1954-, Picus Larry, ed. School finance: A policy perspective. 2nd ed. Dubuque, IA: McGraw-Hill, 2000.

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1954-, Picus Larry, ed. School finance: A policy perspective. 4th ed. Boston, Mass: McGraw-Hill, 2008.

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Kramer, Kevin M. Semiconductor devices: A simulation approach. Upper Saddle River, New Jersey: Prentice Hall PTR, 1997.

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G, Hitchon W. Nicholas, ed. Semiconductor devices: A simulation approach. Upper Saddle River, New Jersey: Prentice Hall PTR, 1997.

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Son, Lai Van, and Soumaré Issouf, eds. Stochastic simulation and applications in finance with MATLAB programs. Chichester, England: John Wiley & Sons, 2008.

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Dailami, Mansoor. INFRISK: A computer simulation approach to risk management in infrastructure project finance transactions. Washington, DC: World Bank, 1999.

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Book chapters on the topic "Financet Computer simulation"

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Wang, Di, and Baosen Wang. "Study of the Supply Chain Finance Operational Risk." In Advanced Research on Computer Education, Simulation and Modeling, 434–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21783-8_71.

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"Introduction to Computer Simulation of Random Variables." In Stochastic Simulation and Applications in Finance with MATLAB® Programs, 47–66. Chichester, West Sussex, UK: John Wiley & Sons, Ltd., 2012. http://dx.doi.org/10.1002/9781118467374.ch4.

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Kumar, Sanjay, Ram Pravesh Prasad, Krishan Pal, Mahendra Pratap Pal, and Ajeet Singh. "Synchronization of Fractional-Order Hyperchaotic Finance Systems Using Sliding Mode Control Techniques." In Advanced Applications of Fractional Differential Operators to Science and Technology, 133–52. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3122-8.ch006.

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In this chapter, the basic concepts of fractional-order dynamical systems are presented, and the synchronization methodologies of fractional order chaotic dynamical systems are established using slide mode control techniques. Through observation of the different phase portraits and time-series graphs of fractional order finance systems through utilization of the fractional calculus and computer simulation, the authors have obtained that the lowest dimension of fractional order hyper chaotic finance system is 3.90, which is less than 4. Bifurcation diagrams and Lyapunov exponents of fractional order hyper chaotic finance system are calculated to justify the chaos in the systems. Synchronization of two identical fractional-order hyper chaotic finance systems are achieved using sliding mode control techniques.
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Laine, Tatu, Kasperi Korpinen, and Matti Hellqvist. "Simulation Approaches to Risk, Efficiency, and Liquidity Usage in Payment Systems." In Simulation in Computational Finance and Economics, 69–83. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2011-7.ch004.

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Payment systems constitute a critical aspect of modern economic infrastructure; yet understanding the payment system mechanisms remains elusive in the face of rapidly evolving financial markets and intricate institutional linkages. Computer simulations of payment systems have proven useful in determining optimal balances of risk, efficiency, and liquidity usage. Constructs such as gridlock-resolution algorithms and liquidity-saving mechanisms are now routinely applied in such areas as optimization of liquidity and payment delay, but can also be used to assess potential impacts of changes in policy or system setups. In addition, simulations can be extended to incorporate behavioral elements of participants by modeling their behavior with Agent-Based Modeling (ABM). The 2008 global financial crisis has increased interest in simulations to identify and quantify risk, particularly where new channels of contagion and complex interlinkages of markets and payment systems are involved. Payment system simulations offer central bank authorities broad possibilities to improve their risk monitoring and should be incorporated as a standard part of financial stability analysis.
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Mihaylova, Iva. "Applications of Artificial Neural Networks in Economics and Finance." In Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction, 997–1008. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7368-5.ch073.

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Artificial neural networks (ANNs) are a powerful technique for multivariate dependence analysis. Originally inspired by neuroscience, ANNs are becoming an increasingly attractive analytic tool for applications in the area of economics and finance due to the flexible solutions they offer. The purpose of this chapter is to present such important applications with an emphasis on recent research trends. The contributions are grouped as follows: ANNs (1) for prediction, (2) for classification, and (3) for modelling. The chapter concludes with the future trends in the ANNs research in economics and finance.
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Irina, Potapova. "Open Education in Digital Era With Avatar-Based Control and Estimation." In Advances in Finance, Accounting, and Economics, 225–52. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1104-6.ch015.

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Open education becomes the important approach for education in the digital age and it plays a significant role in broadening educational access and increasing higher educational opportunities. The author of the chapter considers the basic principles and emerging trends in quality assurance of distance higher education in the digital age. Considering the intelligent distance education system as a dynamic, time-developing system, one can speak of the underlying computer imitation model that has an independent theoretical and practical value. The objective of this chapter is to explore how can information technologies influence the distance education quality assurance, specifically, to develop a conceptual framework for the intelligent distance education system. In addition to direct application for educational quality management system's evaluation, the simulation model can be used to solve a much wider range of tasks: forecasting, risk assessment, rating of courses, individual teachers, and individual institutions.
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Razzak, Weshah A., and Belkacem Laabas. "Taxes, Natural Resource Endowment, and the Supply of Labor." In Handbook of Research on Public Finance in Europe and the MENA Region, 520–44. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0053-7.ch023.

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We use the work-leisure choice model to compute equilibrium weekly hours worked for a number of Arab countries and compare them to the G7 countries. We show that the labor supply curve is elastic in all Arab countries, and provide a new measure of labor productivity. This finding confirms previous research that workers respond to incentives, which has serious implications for tax and social security policies. We also provide some policy simulations pertinent to the effects of taxation on welfare and poverty.
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Bray, J., and G. Nana. "INTERNATIONAL ECONOMIC COORDINATION IN THE G7 AS A DYNAMIC NASH GAME11The model INTERMOD 1.1, a G7 version of the IMF model MULTIMOD model, was supplied by John Helliwell, Guy Meredith and Philip Bagnoli of the Department of Finance, Canada, with a simulation database. The Nash game algorithm and programme were supplied by the Programme for Research into Optimal Policy Evaluation (PROPE) at Imperial College, London (Elias Karakitsos, Berc Rustem, Robin Becker). These were embedded in the AMODEL simulation package supplied by the UK Treasury, and the whole installed in the Definicon/MS-DOS operating system environment of personal computers, by Sam Lovick." In Dynamic Modelling and Control of National Economies 1989, 203–10. Elsevier, 1990. http://dx.doi.org/10.1016/b978-0-08-037538-0.50036-8.

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Conference papers on the topic "Financet Computer simulation"

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Drew III, Ernest W. "Prototyping a Computer-Based Simulation of the Finance Sector." In Technology Conference for Homeland Security (CATCH). IEEE, 2009. http://dx.doi.org/10.1109/catch.2009.8.

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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 dynamics characteristic of the system. From numerical simulation, we obtain the three dimensional phase portraits that show the nonlinear response of the hyper-chaotic finance system. From the results of numerical simulation, it is found that there exist periodic motions and chaotic motions under specific conditions. In addition, it is observed that the parameter of the saving has significant influence on the nonlinear dynamical behavior of the four dimensional autonomous hyper-chaotic system.
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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 thinking and decision making, foster collaboration and critical discourse, and encourage the application of concepts into real world business practices, the University of Maryland Eastern Shore, a minority serving institution, decided in 2004 to introduce a series of competitive web-based simulations at key junctures throughout the curriculum but focused primarily in the course Strategic Management. The simulation selected covers topics such as Strategy & Tactics, Policy, Production, Accounting, Marketing, Finance, Quality control, Human resources, Leadership, and Teamwork and involves students competing in teams against other teams. In order to assess the effectiveness of the simulation, a research protocol was introduced that included the administration of student surveys as well as the collection of performance data. The findings indicate that students overwhelmingly felt that the simulation helped them understand the application of key concepts and learn the decision making process that occurs in professional business practice. The examination of student performance data gathered in this study, with consideration given to the strong levels of student satisfaction, encouraged the authors to postulate based on the high success rates of this student population, which traditionally underperforms in more traditional mode of assessments, that simulations may serve as an equalizer that offers all students, from low to high achievers, an opportunity to succeed and that competitive web-based simulations enhance the overall educational and personal development experiences of minority students enrolled in higher education business programs.
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"TEACHING MANAGEMENT AND FINANCE THROUGH SIMULATION - Choosing the Proper Paradigm." In 2nd International Conference on Computer Supported Education. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002801304640468.

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Evans, Gerald E., and Belva Jones. "The Application of Monte Carlo Simulation in Finance, Economics and Operations Management." In 2009 WRI World Congress on Computer Science and Information Engineering. IEEE, 2009. http://dx.doi.org/10.1109/csie.2009.703.

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Chen, Qun, and Qiqi Zhang. "Improved Modeling and Numerial Analysis of Supply Chain Finance Based on Matlab Simulation." In 2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA). IEEE, 2021. http://dx.doi.org/10.1109/icaica52286.2021.9498067.

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Ahmed, Salman, Mihir Sunil Gawand, Lukman Irshad, and H. Onan Demirel. "Exploring the Design Space Using a Surrogate Model Approach With Digital Human Modeling Simulations." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86323.

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Computational human factors tools are often not fully-integrated during the early phases of product design. Often, conventional ergonomic practices require physical prototypes and human subjects which are costly in terms of finances and time. Ergonomics evaluations executed on physical prototypes has the limitations of increasing the overall rework as more iterations are required to incorporate design changes related to human factors that are found later in the design stage, which affects the overall cost of product development. This paper proposes a design methodology based on Digital Human Modeling (DHM) approach to inform designers about the ergonomics adequacies of products during early stages of design process. This proactive ergonomics approach has the potential to allow designers to identify significant design variables that affect the human performance before full-scale prototypes are built. The design method utilizes a surrogate model that represents human product interaction. Optimizing the surrogate model provides design concepts to optimize human performance. The efficacy of the proposed design method is demonstrated by a cockpit design study.
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Waszkowski, Robert, Tadeusz Nowicki, and Agata Chodowska Wasilewska. "Designing and Implementing Simulation Exercises for State Sanitary and Epidemiological Service." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001632.

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The paper presents business processes related to the work of sanitary services in cases of an epidemic of foodborne diseases. On their basis, simulation exercises according to given scenarios were developed. The work is related to the implementation of a project financed by the National Center for Research and Development. The activities of the staff of the county-level State Sanitary Inspectorate were analyzed in terms of actions taken in crisis situations related to the emergence of a large food poisoning outbreak or an epidemic of food-borne infectious disease. The same analysis was carried out in the scope of actions performed by individual teams participating in the simulation exercises. The result of the analysis was presented in the form of business process diagrams made in BPMN notation. The architecture of the simulation exercise support system assumes the use of a number of components responsible for the preparation of data and exercise scenarios, the implementation of exercises in training teams, supervision by exercise management, monitoring of the current course of the exercise, and review after activities.Business processes perfectly illustrate what activities are performed by individual groups of people during exercises and allow for monitoring and measuring indicators of the team’s work effectiveness. Business processes have been divided into two groups of processes. The first group of processes concerns activities performed only by persons exercising. These are processes that describe the activities performed during an epidemiological inquiry. In this case, describing the activities in the form of a process allows the practitioners to increase the speed of reaction in making decisions that directly affect the course of the investigation because they have at their disposal the entire range of data processed by the process along with the full picture of the situation.The second group of business processes describes the activities of the teams for preparing exercises, play-offs, and evaluating the results in the form of a simulation exercise scenario. The activities listed in this group of processes allow the participants of the above-mentioned teams for the efficient management of the tasks of the training team, for monitoring their activities, and for full control of the simulation. The training preparation team receives tasks related to the preparation of the environment and data for a given exercise scenario and the commissioning of individual system components at the start of the simulation exercises. The play-off team receives tasks related to the preparation of answers to the questions of the practitioners, reactions to decisions made by the practitioner team, and the control of the simulation time. The results analysis team receives tasks related to the analysis of the history of processes, the analysis of decisions and actions, the assessment of the course of exercises, and the skills of the training team. Each team receives a full range of data processed by individual processes in this group.The processes of both groups are interconnected. Activities undertaken by the training team within the processes of the first group directly affect the appearance of activities in the processes of the second group. Mutual communication within the performed tasks allows for simulation exercises in accordance with the modeled exercise scenario. The simulation exercise support system records each action and decision of the participants in the history of the processes along with the exact timestamp and a record of who performed the action. The concept of the AAR subsystem (after action review) is based on historical data of tasks performed within the framework of the processes, enabling the reconstruction of the course of the exercise with the possibility of starting the exercise from a selected moment. The paper will also present the methodology of designing interfaces for a system of computer-aided simulation exercises.
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