Dissertations / Theses on the topic 'Capital market Computer simulation'
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Lembcke, Antje. "Optimized market introduction of large capital products (LCP) with long development and learning cycles." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4624.
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Any product sold is expected to be reliable and available when the customer wants to operate it. Companies that produce large capital products (LCP), such as rockets, satellites, or large gas turbines to generate electrical energy, tend to shy away from extending their testing and validation method above the requirements by law, mainly due to the very high costs of each additional test and the uncertain return on investment. This research shows that today's state of the art validation methods for LCP, required by law, or suggested in literature, and adapted by these industries, are not capable of capturing all significant failure modes (or even enough failure modes), with the consequence that the subsequently sold commercial products will still experience failures with significant effects on product reliability, and subsequently on the companies' bottom line earnings projections. The research determines the type of data (significant variables) necessary to correlate a company's validation policy to product failures after commercialization, and predicts the financial impact of the current validation policy on the company's profitability. An optimized validation plan and testing policy is suggested, and its impact on a company's profitability is demonstrated through simulation. A generic methodology is derived and its viability is illustrated using a specific product and a dynamic model developed with data available to the researcher. The generic method can be applied by any company to develop its own model for optimizing product reliability prior to market introduction.ID: 029049914; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (Ph.D.)--University of Central Florida, 2010.; Includes bibliographical references (p. 143-145).
Ph.D.
Doctorate
Department of Industrial Engineering and Management Systems
Engineering and Computer Science
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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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Jonéus, Carl. "Analysis of Scalable Blockchain Technology in the Capital Market." Thesis, Uppsala universitet, Avdelningen för datalogi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-326151.
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Financial interactions on the capital market involve a wide variety of actors and processes. The requirement of security and privacy results to a large extent in non-shared and unintegrated databases among the different parties, leading to complex, time consuming and costly procedures. The last decade's introduction of innovative blockchain technologies such as Bitcoin, has brought attention to the possibilities of decentralized peer-to-peer networking in general, and its potential influence in the financial sector in particular. This master thesis investigates the possibilities for the capital market to adapt such a system from a technical point of view, with main focus on scalability. The analysis covers crucial aspects such as a peer-to-peer application's ability to handle large transaction volumes while maintaining security. The degree project also includes continued work on Visigon's blockchain application prototype with main focus on the network communication, as well as simulations of its performance capability. Results from the simulations showed that the transaction throughput capacity is limited to the time of broadcasting the transaction to the network, and thus decreasing linearly with increasing network size. The required time for handling other parts in the process appears constant and takes up a small fraction of the total time, therefore future work lays in further optimization of the communication protocol.
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Backlund, Ludvig. "A technical overview of distributed ledger technologies in the Nordic capital market." Thesis, Uppsala universitet, Avdelningen för datalogi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-298810.
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This thesis examines how Distributed Ledger Technologies (DLTs) could be utilized in capital markets in general and in the Nordic capital market in particular. DLTs were introduced with the so called cryptocurrency Bitcoin in 2009 and has in the last few years been of interest to various financial institutions as a means to streamline financial processes. By combining computer scientific concepts such as public-key cryptography and consensus algorithms DLTs make it possible to keep shared databases with limited trust among the participators and without the use of a trusted third party. In this thesis various actors on the Nordic capital market were interviewed and their stance on DLTs were summarized. In addition to this a Proof of Concept of a permissioned DLT application for ownership registration of securities was constructed. It was found that all the interviewees were generally optimistic about DLTs potential to increase the efficiency of capital markets. The technology needs to be adopted to handle the capital markets demand for privacy and large transaction volumes, but there is a general agreement among the interviewees that these issues will be solved. The biggest challenge for an adoption of DLTs seem to lie in that of finding a common industry-wide standard.
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Buchta, Christian, and Sara Dolnicar. "Learning by simulation. Computer simulations for strategic marketing decision support in tourism." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2003. http://epub.wu.ac.at/1718/1/document.pdf.
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This paper describes the use of corporate decision and strategy simulations as a decision-support instrument under varying market conditions in the tourism industry. It goes on to illustrate this use of simulations with an experiment which investigates how successful different market segmentation approaches are in destination management. The experiment assumes a competitive environment and various cycle-length conditions with regard to budget and strategic planning. Computer simulations prove to be a useful management tool, allowing customized experiments which provide insight into the functioning of the market and therefore represent an interesting tool for managerial decision support. The main drawback is the initial setup of a customized computer simulation, which is time-consuming and involves defining parameters with great care in order to represent the actual market environment and to avoid excessive complexity in testing cause-effect-relationships. (author's abstract)Series: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
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Dappiti, Ramana Reddy, and Mohan Krishna Thalluri. "Brownian Dynamic Simulation to Predict the Stock Market Price." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2627.
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Stock Prices have been modeled using a variety of techniques such as neural networks, simple regression based models and so on with limited accuracy. We attempt to use Random Walk method to model movements of stock prices with modifications to account for market sentiment. A simulator has been developed as part of the work to experiment with actual NASDAQ100 stock data and check how the actual stock values compare with the predictions. In cases of short and medium term prediction (1-3 months), the predicted prices are close to the actual values, while for longer term (1 year), the predictions begin to diverge. The Random Walk method has been compared with linear regression, average and last known value across four periods and has that the Random Walk method is no better that the conventional methods as at 95% confidence there is no significant difference between the conventional methods and Random Walk model.Prediction of stock markets has been the research interest of many scientists around the world. Speculators who wish to make a “quick buck” as well as economists who wish to predict crashes, anyone in the financial industry has an interest in predicting what stock prices are likely to be. Clearly, there is no model which can accurately predict stock prices; else markets would be absolutely perfect! However, the problem is pertinent and any improvement in the accuracy of prediction improves the state of financial markets today. This forms the broad motivation of our study.
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劉紅進 and Hongjin Liu. "Implementation of a multi-agent based power market simulator." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31224829.
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Piccolo, Alessandro. "Distributed ledger technology in the capital market : Shared versus private information in a permissioned blockchain." Thesis, Uppsala universitet, Avdelningen för datalogi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-326341.
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This master thesis explores how blockchain technologies can be utilized within the financial sector with focus on how to store both private and public information on the blockchain. The capital market is looking into ways of cutting down administrative work through streamlining the financial process by using blockchain technologies. Public key encryption together with hash functions and a consensus mechanism make up the basis for creating a shared trustless database system. The thesis was conducted by extensive research concerning cryptographic topics, and a literature study was made to compare existing solutions. This was done in order to come up with a new design which suggests how to utilize blockchain technologies in order to create private transactions. The design solves issues regarding key management and how to handle both private and public information on the blockchain. The proposed design is an extension of Visigon's existing permissioned blockchain, and it introduces different roles within the peer to peer network as well as a concept of having regulating nodes that together with the involved bank's nodes handle the process of private transactions. Private transactions are encrypted by using symmetric keys and thereafter recorded on the blockchain. In conclusion blockchain technology might not be the most suitable database system for banks to keep transactions private. Future solutions should consider the best attributes of blockchain technologies and create a new system with the single purpose of being a tool for the financial market.
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Caley, Jeffrey Allan. "A Survey of Systems for Predicting Stock Market Movements, Combining Market Indicators and Machine Learning Classifiers." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/2001.
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In this work, we propose and investigate a series of methods to predict stock market movements. These methods use stock market technical and macroeconomic indicators as inputs into different machine learning classifiers. The objective is to survey existing domain knowledge, and combine multiple techniques into one method to predict daily market movements for stocks. Approaches using nearest neighbor classification, support vector machine classification, K-means classification, principal component analysis and genetic algorithms for feature reduction and redefining the classification rule were explored. Ten stocks, 9 companies and 1 index, were used to evaluate each iteration of the trading method. The classification rate, modified Sharpe ratio and profit gained over the test period is used to evaluate each strategy. The findings showed nearest neighbor classification using genetic algorithm input feature reduction produced the best results, achieving higher profits than buy-and-hold for a majority of the companies.
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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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Blok, Hendrik J. "On the nature of the stock market : simulations and experiments." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ56507.pdf.
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Catherine, Catherine. "Simulation and Measurement of Non-Functional Properties of Web Services in a Service Market to Improve User Value." Thesis, Linnéuniversitetet, Institutionen för datavetenskap (DV), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-31351.
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Myburgh, Gustav. "Validation of the coherent market hypothesis using neural networks and JSE securities exchange data." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52601.
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Thesis (MBA)--Stellenbosch University, 2001.ENGLISH ABSTRACT: Much research effort has been spent over the past few decades in the field of capital market analysis and modelling. This research was mostly based on static linear models or derivatives thereof such as the Efficient Market Hypothesis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory. This study project takes an interesting look at a contemporary capital market hypothesis, which is fundamentally based on a non-linear statistical model. The Coherent Market Hypothesis (CMH) was first formulated by Tonis Vaga in 1990. It is based on a theory of social imitation, taking factors such as the underlying fundamental situation and the level of crowd behaviour into account. It also includes the phenomenon of “random walk” as a special case. The CMH departs from the premise of rational investors and normally distributed share returns. In turn, it offers a series of “market states” ranging from trendless (random walk), through unstable transition into coherent bull or bear phases and ultimately into periods of chaotic fluctuation (panics and crashes). The CMH is mathematically formulated and therefore it offers many opportunities for experimentation. This study project is an investigation of the validity and application of the CMH using real JSE data. Artificial Neural Networks were applied as computational aids. The main objective was to demonstrate the CMH’s usefulness as a forecasting tool in both a quantitative as well as qualitative capacity. The results of the quantitative analysis were not as significant or valuable as initially expected. However, the usefulness of the CMH was demonstrated in a more qualitative sense. It is shown that the CMH offers a rich theoretical framework for interpretation, understanding and recognising of market dynamics.
AFRIKAANSE OPSOMMING: Gedurende die afgelope paar dekades is aansienlike hoeveelhede navorsing gedoen in die veld van kapitaalmark analise en modellering. Hierdie navorsing was hoofsaaklik gebaseer op statiese, lineêre modelle of afgeleides daarvan, naamlik die Efficient Market Hypothesis, die Capital Asset Pricing Model en die Arbitrage Pricing Theory. Hierdie werkstuk kyk vanuit ‘n interessante oogpunt na ‘n meer hedendaagse kapitaalmark hipotese wat fundamenteel gebaseer is op ‘n nie-lineêre statistiese model. Die Coherent Market Hypothesis (CMH) is oorspronklik geformuleer deur Tonis Vaga in 1990. Dit is gebaseer op ‘n teorie van sosiale nabootsing en dit neem faktore in ag soos die onderliggende fundamentele situasie asook die vlak van groepgedrag. Die verskynsel van “random walk” word ook ingesluit as ‘n spesiale geval. Die CMH wyk af van die aanname dat beleggers rasioneel optree asook van die aanname dat aandeel opbrengste normaal verspreid is. In teendeel, die CMH omvat ‘n reeks marktoestande wat wissel van die tendenslose (random walk) deur onstabiele oorgang na koherente bul- of beerfases en uiteindelik in tydperke van chaotiese skommelings (markineenstortings). Die CMH is wiskundig geformuleer en daarom bied dit vele geleenthede ten opsigte van eksperimentering. Hierdie werkstuk is ‘n ondersoek na die geldigheid en toepassing van die CMH met die gebruik van JSE aandeledata. Kunsmatige Neurale Netwerke is gebruik as berekeningshulpmiddels. Die hoofoogmerk was om die bruikbaarheid van die CMH as voorspellingshulpmiddel te demonstreer in beide ‘n kwantitatiewe sowel as kwalitatiewe opsig. Die resultate van die kwantitatiewe analise was nie so beduidend as aanvanklik verwag nie. Die bruikbaarheid van die CMH was wel gedemonstreer in ‘n meer kwalitatiewe opsig. Dit is ook aangetoon dat die CMH ‘n omvangryke teoretiese raamwerk bied vir die interpretasie, begrip en uitkenning van markdinamika.
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Tran, Nghia Cong. "Coalition Robustness of Multiagent Systems." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/2515.
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Many multiagent systems are environments where distinct decision-makers compete, explicitly or implicitly, for scarce resources. In these competitive environments, itcan be advantageous for agents to cooperate and form teams, or coalitions; this cooperation gives agents strategic advantage to compete for scarce resources. Multiagent systems thus can be characterized in terms of competition and cooperation. To evaluate the effectiveness of cooperation for particular coalitions, we derive measures based on comparing these different coalitions at their respective equilibria. However, relying on equilibrium results leads to the interesting question of stability. Control theory and cooperative game theory have limitations that make it hard to apply them to study our questions about stabililty and evaluate cooperation in competitive environments. In this thesis we will lay a foundation towards a theory of coalition stability and robustness for multiagent systems. We then apply this condition to form a methodology toevaluate cooperation for market structure analysis.
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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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Cordeiro, Jelson Andre. "Meta-heurísticas aplicadas ao problema de projeção do preço de ações na bolsa de valores." Universidade Tecnológica Federal do Paraná, 2013. http://repositorio.utfpr.edu.br/jspui/handle/1/733.
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A projeção do preço de ações na bolsa de valores é um campo atraente para a investigação devido às suas aplicações comerciais e os benefícios financeiros oferecidos. O objetivo deste trabalho é analisar o desempenho de dois algoritmos meta-heurísticos, o Algoritmo do Morcego e o Algoritmo Genético, para o problema de projeção do preço de ações. Os indivíduos da população dos algoritmos foram modelados utilizando os parâmetros de 7 indicadores técnicos. O lucro final ao fim de um período é maximizado através da escolha do momento adequado para compra e venda de ações. Para avaliar a metodologia proposta foram realizados experimentos utilizando dados históricos reais (2006-2012) de 92 ações listadas na bolsa de valores do Brasil. A validação cruzada foi aplicada nos experimentos para evitar o overfiting, utilizando 3 períodos para treinamento e 4 para teste. Os resultados dos algoritmos foram comparados entre si e com o indicador de desempenho Buy and Hold (B&H). Para 91,30% das ações os algoritmos obtiveram lucro superior ao B&H, sendo que em 79,35% delas o Algoritmo do Morcego teve o melhor desempenho, enquanto que para 11,95% das ações o Algoritmo Genético foi melhor. Os resultados alcançados indicam que é promissora a aplicação de meta-heurísticas com a modelagem proposta para o problema de projeção do preço de ações na bolsa de valores.The stock prices prediction in the stock exchange is an attractive field for research due to its commercial applications and financial benefits offered. The objective of this work is to analyze the performance of two meta-heuristic algorithms, Bat Algorithm and Genetic Algorithm to the problem of stock prices prediction. The individuals in the population of the algorithms were modeled using 7 technical indicators. The profit at the end of a period is maximized by choosing the right time to buy and sell stocks. To evaluate the proposed methodology, experiments were performed using real historical data (2006-2012) of 92 stocks listed on the stock exchange in Brazil. Cross-validation was applied in the experiments to avoid the overfiting using 3 periods for training and 4 for testing. The results of the algorithms were compared among them and also the performance indicator BuyandHold (B&H).For 91.30% of the stocks, the algorithms obtained profit higher than the B&H, and in 79.35% of them Bat Algorithm had the best performance, while for 11.95% of the stocks Genetic Algorithm was better. The results indicate that it is promising to apply meta-heuristics with the proposed model to the problem of stock prices prediction in the stock exchange.
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Hagtvedt, Reidar. "Applications of Decision Analysis to Health Care." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/22535.
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This dissertation deals with three problems in health care. In the first, we consider the incentives to change prices and capital levels at hospitals, using optimal control under the assumption that private payers charge higher prices if patients consume more hospital services. The main results are that even with fixed technology, investment and prices exhibit explosive growth, and that prices and capital stock grow in proportion to one another.
In the second chapter, we study the flow of nosocomial infections in an intensive care unit. We use data from Cook County Hospital, along with numerous results from the literature, to construct a discrete event simulation. This model highlights emergent properties from treating the flow of patients and pathogens in one interconnected system, and sheds light on how nosocomial infections relate to hospital costs. We find that the system is not decomposable to individual systems, exhibiting behavior that would be difficult to explain in isolation.
In the third chapter, we analyze a proposed change in diversion policies at hospitals, in order to increase the number of patients served, without an increase in resources. Overcrowding in hospital emergency departments is caused in part by the inability to send patients to main hospital wards, due to limited capacity. When a hospital is completely full, the hospital often goes on ambulance diversion, until some spare capacity has opened up. Diversion is costly, and often leads to waves of diversions in systems of hospitals, a situation that is regarded as highly problematic in public health. We construct and analyze a continuous-time Markov chain model for one hospital. The intuition behind the model is that load-balancing between various hospitals in a metro area may hinder full congestion. We find that a more flexible contract may benefit all parties, through the partial diversion of federally insured patients, when a hospital is very close to full. Discrete event simulation models are run to assess the effect, using data from DeKalb Medical Center, and also to show that in a two-hospital system, more federally insured patients are served using this mechanism.
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Harengel, Peter. "Three Tales of Dominant Technological Artifacts : Tracing the Paths from Success to Domination of Software Applications with the Help of Latour's Actor-Network-Theory and Bourdieu's Capital Theory." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5265.
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Domination in the software application industry has been an issue since its early years. But how do these situations of market domination come into existence? This thesis discusses conventional approaches towards understanding market domination and their inherent weaknesses. As a result a new understanding, based on Actor-Network-Theory and Capital Theory unfolds, which achieves the uncovering of a much deeper complexity on how market domination comes into existence.
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Думанський, М. А. "Вексельний обіг в системі фінансових відносин." Thesis, Науково-дослідний фінансовий інститут, 2002. http://essuir.sumdu.edu.ua/handle/123456789/51523.
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Дисертацію присвячено суті фінансової складової вексельного обігу, методів оцінки економічної природи векселя, їхнього використання в розв’язанні економічних проблем суб’єктів господарської діяльності, зокрема розв’язання кризи платежів.
На основі аналізу та оцінки існуючих механізмів використання векселів визначено та обґрунтовано ступінь, зміст і значення вексельного обігу в становленні економічних ринкових відносин та сформульовані основні принципи їх ефективного застосування в розрахунках між підприємствами.
В роботі запропоновано механізм проведення вексельного взаємозаліку, розроблена математична модель визначення його ефективності, обґрунтовані основні методологічні засади умов емісії векселів в залежності від ціни капіталу, виробничого і фінансового левериджу, визначені принципи функціонування ринку векселів – боргових цінних паперів.This thesis is dedicated to the essence of financial constituent of bill circulation, appraisal of economic nature of bills, their utilization in solving economic problems of businesses, payment crisis in particular. On the grounds of analysis and evaluation of relevant gears of bills utilization there were defined and proved degree, content and significance of bill circulation in formation of economic market relations and formulated basic principles of their efficient utilization in settlements between enterprises. In this work there was proposed the gear of bills offsetting, elaborated simulator of defining its efficiency, proved basic methodological foundations of bills issue conditions depending on capital price, production and financial leverage, defined principles of bills-debt securities market functioning.
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Laabs, Peter. "Abkantmaschine für die Industrie 4.0." Hochschule für Technik und Wirtschaft Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:520-qucosa-159968.
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Die Konzeption und Durchführung komplexer und auf Innovation ausgerichteter Produktentwicklungsprojekte ist ein fester und wesentlicher Bestandteil des Curriculums im Studiengang M.A. Produktgestaltung an der Fakultät Gestaltung der HTW-Dresden. Praxisnah und in möglichst authentischen Entwicklungsumgebungen wird in Form eines Kooperationsprojekts eine konkrete Aufgabe für ein Unternehmen bearbeitet. Für die Unternehmen sind solche Projekte Teil ihrer mehr oder weniger bereits etablierten kollaborativen Wertschöpfungsnetzwerke. Im gegenteiligen Fall werden solche Modelle von unserer Seite her an die Unternehmen herangetragen und diskutiert. In der Regel entstehen an die Semesterzeiten gebundene und ergebnisoffene Machbarkeitsstudien. Die Studierenden erhalten im Gegenzug die Möglichkeit, ihr theoretisches Wissen ganz eng an der Wirklichkeit zu üben, entsprechende Erfahrungen zu sammeln und sich über solche Projekte für die spätere Berufspraxis zu empfehlen. Die Fakultät Gestaltung hat in diesem Sinne bereits mit einer Vielzahl von Kooperationspartnern zusammengearbeitet und sehr viel positive Erfahrung sammeln können Das Projekt mit dem Arbeitstitel \"Abkantmaschine für die Industrie 4.0\" wurde für die Bystronic AG in Gotha/Thüringen erarbeitet. Die Bystronic AG ist Tochter eines schweizer Unternehmens und stellt Laserstrahlschneid-, Wasserstrahlschneid- und Abkantmaschinen herThe design and implementation of complex and geared to innovation product development projects is an integral and essential part of the curriculum in the course MA Product design at the Design Faculty of HTW Dresden. Practical and in authentic development environments a specific task is processed for a company in the form of a cooperation project. For companies, such projects are part of their more or less established collaborative value networks. In the opposite case, such models are brought and discussed by our side to companies. Usually caused bound to the semester dates and open-ended feasibility studies. The students receive in return the opportunity to practice their theoretical knowledge very closely to reality, to gain experience and to advise on such projects in their later professional applications and practice. The Faculty of Design has worked in this sense, with a number of partners and gained a lot of positive experience. The project with the working title \"pressbrake for industry 4.0\" has been developed for Bystronic AG in Gotha/Thuringia. The Bystronic AG is a subsidiary of a Swiss company and produces laser cutting and waterjet systems as well as pressbrakes
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Chai, Hui-Wen, and 翟慧雯. "The simulation research on capital adequancy for banks--study on market risk." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/52731652403651502334.
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Shu, Kuo-Feng, and 書國鳳. "Market Risk and Capital Requirement for Banks─The Historical Simulation Method and The Standard Method." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/21943350029011575032.
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碩士國立高雄第一科技大學
財務管理所
91
The purpose of this empirical study is to assess, on the bases of the 2001 BIS capital adequacy guidelines, the VaR and the capital requirement of a large bank in Taiwan, using the historical simulation method, and using the data of the actual fixed income security foreign exchange and equity security holdings of the very bank。 We examine how this self-developed model fare the bank if the proposed rules are put into operation. The model is then compared with the standard method , which is used by most of the bank to calculate market risk capitals。 The empirical result shows that the VaR calculated by the historical simulation method is substantially less than the capital requirement under the standard method。 Following the current BIS capital adequacy guidelines, the multiplication factor of the bank's calculated capital requirement , assessed by the internal model, is at least 3 times, still far less than the capital. requirement under the standard method. Moreover, as far as the 10 days holding period is concerned, the required capital can still effectively cover the loss resulted from the unfavorable change of the assets prices. This shows that the adoption of the internal model could definitely lower a bank's capital requirement. This model excels the standard method, mainly because the latter has a serious weakness, that is, an ignorance of the risk-diminishing effect produced by the interrelatedness of various kinds of assets in their simultaneous changes. So, the financial businesses should spare no expense to develop their own internal models. For calculating market risk capital, in order to lower self-capital, and to raise BIS ration.
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Yang, Mingying, and 楊明英. "Influence of Mate Selection Patterns on Matching:Analysis of a Computer Simulation of Dynamic Marriage Market." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/39378233918671692524.
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碩士國立臺北教育大學
社會與區域發展學系碩士班
99
The purpose of this study was to explore the influence of two mate selection strategies of open relationships and two-timing on success rates of matching in the dynamic marriage market; and to investigate the influence of multiple two-timing on the effectiveness of mate selection while the simulation aspects were extended to attain the aim of integrating the mate selection strategies. Based on the rational choice of matching rule of self-interest maximizing in economics, a simulation setting of marriage matching model was established in the study through computer-assisted system. In the simulation society, the mate selectors tended to adopt the same mate selection strategies, which were called “Patterns of Mate Selection”. In a dynamic society, marriage market will maintain a random and balanced supply of new bloods during the process of every round of matching. Participants after marrying will henceforth disappear from the marriage market. Participants will be evaluated by adopting the methods of a gradual rising level of their resources before the first five rounds of matching and a gradual declining level of their resources after the 5th round in the different rounds of matching. The marriage market is basically a living organism which presents a real society. On the other hand, in order to understand the influence of different variables on success rates of matching, this study was to undertake 100 times of simulation each according to the different simulation contexts designed respectively from three aspects of mate selection patterns, rounds of soliciting marriage and probability of blooper to integrate and approach the corresponding relationship between variables and success rates of matching. The research findings are as follows: 1.In the dynamic marriage market, the mate selection pattern of open relationships was superior to that of two-timing; 2.The inferior level of resources one had, the less advantageous he/she was in the mate selection pattern of two-timing; 3.The factor of early marriage increased the success rate of matching; 4.It was not helpful to increase the number of two-timing in the effectiveness of mate selection; 5.The blooper effect made a certain impact on the success rate of matching from the mate selection pattern of two-timing.
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Merriweather, Samuel P. "Risk-Based Technology Assessment for Capital Equipment Acquisition Decisions in Small Firms." Thesis, 2013. http://hdl.handle.net/1969.1/151392.
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Companies and organizations must make decisions concerning capital budgeting. Capital budgeting is a decision-making process that determines whether a firm should purchase equipment to be used on a long-term basis. The initial investment in the equipment is predicted to be returned through revenue gained by the use of the equipment over its lifetime. However, there is inherent risk associated with these investment decisions. Therefore, potential purchasers must decide whether the risk involved with investing in the equipment is justified.
This dissertation addresses risk-based technology assessment for capital equipment acquisition decisions in small firms. Technology assessment, here, is concerned with understanding the uncertainty associated with assessing the value predicted in the capital budgeting process. When analyzing the risk for a given technology, we assign a probability law to its net present value. Our primary research contribution is providing an analytical framework together with a computational strategy to support capital equipment budgeting in firms where the value of candidate technologies can represent nearly all the firm’s value.
Since small firms typically have limited budgets, spending for technology is always a difficult budgeting decision. The organization’s administration must decide which, if any, among the available technologies will be best for their operation.
The process for acquiring technology in many small firms can be filled with challenges. Most important among them is that capital budgeting is typically a “one-off” decision. These decisions are difficult since the candidate technologies may not have operational data available. Thus, decision makers need some means to predict how the proposed technology (e.g., equipment or machinery) will be used. Hence, firms should follow techniques and procedures based on appropriate normative principles and well-established theory. Senior company executives and/or governance boards are often authorized to approve capital equipment purchases. However, these company leaders may not have adequate expertise in the operations of candidate technologies or may lack the understanding necessary to determine how new technologies may impact other company operations. Appropriate financial evaluation measures and selection criteria that incorporate risk are critical to making sound, quantitative acquisition decisions.
The research reported here offers an analytical framework for comparing different technology alternatives in capital budgeting decisions. Comparison is based on the expected net present value and the risk (i.e., probability law on net present value) associated with each decision alternative. To this end, the operational characteristics of each technology alternative are connected to their potential revenue and cost streams. The framework is embedded within a computational architecture that can be customized to account for operations and technologies in specific application scenarios.
One major barrier addressed by this research is overcoming the fact that new technologies typically have no historical operational data. Therefore, characterizing the uncertainty of operations (e.g., distribution of the equipment lifetime) can be very difficult. Discrete- event simulation is used to generate potential revenue and cost estimates.
We demonstrate the tractability and practicality of the analytical framework and computational architecture via a healthcare technology assessment decision. Data extracted from a published journal article detailing a hospital’s technology assessment decision are used to find the risk of the medical technology using the computational architecture developed. Widely-available, no-cost software tools are employed. Results of the health care example suggest that the financial analysis in the original technology assessment was in- adequate and simplistic. Small firms may find this research particularly beneficial because potential investments can be a significant portion of a small firm’s value.
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"Тези доповідей XІІ Міжнародної наукової конференції «Проблеми економіки транспорту»." Thesis, Видавництво Дніпропетровського національного університету залізничного транспорту імені академіка В. Лазаряна, 2014. http://eadnurt.diit.edu.ua/jspui/handle/123456789/2861.
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Проблеми економіки транспорту : тези доповідей XII Міжнародної наукової конференції (24.04 - 25.04.2014) / М-во освіти і науки України, Держадміністрація залізничного транспорту України, Дніпропетровський національний університет залізничного транспорту імені академіка В. Лазаряна, Київдіпротранс. — Д. : ДНУЗТ, 2014. — 248 с. — укр. — рос. — пол. — анг. УДК 656.2UK: В збірнику розглядаються економічні проблеми структурної реформи Укрзалізниці, розвитку транспортних систем, їх взаємозв’язок з основними галузями народного господарства та адаптація до сучасних ринкових умов, а також теоретичні та практичні питання фінансування транспорту і дослідження в галузі економічного перекладу. Збірник призначений для науково-технічних робітників залізниць України, підприємств транспорту, викладачів вищих учбових закладів, аспірантів і студентів.
RU:В сборнике рассматриваются экономические проблемы структурной реформы Укрзализныцы, развития транспортных систем, их взаимосвязь с основными отраслями народного хозяйства и адаптация к современным рыночным условиям, а также теоретические и практические вопросы финансирования транспорта и исследования в области экономического перевода. Сборник предназначен для научно-технических работников железных дорог Украины, предприятий транспорта, преподавателей высших учебных заведений, аспирантов и студентов.
Міністерство освіти і науки України; Державна адміністрація залізничного транспорту України; Київдіпротранс