Relevant bibliographies by topics / Capital markets – Computer simulation

Academic literature on the topic 'Capital markets – Computer simulation'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Capital markets – Computer simulation"

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Hirano, Masanori, Kiyoshi Izumi, Takashi Shimada, Hiroyasu Matsushima, and Hiroki Sakaji. "Impact Analysis of Financial Regulation on Multi-Asset Markets Using Artificial Market Simulations." Journal of Risk and Financial Management 13, no. 4 (April 17, 2020): 75. http://dx.doi.org/10.3390/jrfm13040075.

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In this study, we assessed the impact of capital adequacy ratio (CAR) regulation in the Basel regulatory framework. This regulation was established to make the banking network robust. However, a previous work argued that CAR regulation has a destabilization effect on financial markets. To assess impacts such as destabilizing effects, we conducted simulations of an artificial market, one of the computer simulations imitating real financial markets. In the simulation, we proposed and used a new model with continuous double auction markets, stylized trading agents, and two kinds of portfolio trading agents. Both portfolio trading agents had trading strategies incorporating Markowitz’s portfolio optimization. Additionally, one type of portfolio trading agent was under regulation. From the simulations, we found that portfolio optimization as each trader’s strategy stabilizes markets, and CAR regulation destabilizes markets in various aspects. These results show that CAR regulation can have negative effects on asset markets. As future work, we should confirm these effects empirically and consider how to balance between both positive and negative aspects of CAR regulation.
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Zhang, Ming-Heng, and Qian-Sheng Cheng. "Gaussian mixture modelling to detect random walks in capital markets." Mathematical and Computer Modelling 38, no. 5-6 (September 2003): 503–8. http://dx.doi.org/10.1016/s0895-7177(03)90022-7.

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Musaev, Alexander, and Dmitry Grigoriev. "Analyzing, Modeling, and Utilizing Observation Series Correlation in Capital Markets." Computation 9, no. 8 (August 2, 2021): 88. http://dx.doi.org/10.3390/computation9080088.

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In this paper, we consider the task of the analysis, modeling, and application of dependencies between asset quotes at various capital markets. As an example, we study the dependency between financial instrument observation series in the currency and stock markets. Our work intends to give a theoretical basis to asset management strategies that estimate an asset’s price via regression, taking into account its correlated assets in various markets. Furthermore, we provide a way to increase the estimate quality using an evolutionary algorithm.
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Wang, Minggang, Chenyu Hua, and Hua Xu. "Dynamic Linkages among Carbon, Energy and Financial Markets: Multiplex Recurrence Network Approach." Mathematics 10, no. 11 (May 26, 2022): 1829. http://dx.doi.org/10.3390/math10111829.

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It has become a hot issue to integrate the carbon market, energy market, and financial market into one system and explore the relationship among them. Considering that the carbon market, energy market, and financial market all have chaotic characteristics to varying degrees, this paper proposes a theoretical framework to study the linkage relationship among the three markets on the basis of the method of the Multiplex recurrence network. Firstly, we built a multiplex recurrence network of carbon-energy-financial market. Then, based on the connection relationship among nodes of the recurrence network of each market, the degree distribution of nodes of each market, and the information entropy theory, we put forward several metric indicators to explore the correlativity and mutual guidance relation among carbon market, energy market and financial market from micro and macro perspectives. Using the data generated by the deterministic system, the effectiveness of the defined index was confirmed by numerical simulation. The empirical analysis of the carbon market, energy market, and financial market revealed the evolution process of the increasingly close connection between the three markets, and we found that the carbon market plays an increasingly important role in the world capital market system. Based on the research results, we propose some suggestions for market decision-makers, enterprises, and investors.
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Brătian, Vasile, Ana-Maria Acu, Camelia Oprean-Stan, Emil Dinga, and Gabriela-Mariana Ionescu. "Efficient or Fractal Market Hypothesis? A Stock Indexes Modelling Using Geometric Brownian Motion and Geometric Fractional Brownian Motion." Mathematics 9, no. 22 (November 22, 2021): 2983. http://dx.doi.org/10.3390/math9222983.

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In this article, we propose a test of the dynamics of stock market indexes typical of the US and EU capital markets in order to determine which of the two fundamental hypotheses, efficient market hypothesis (EMH) or fractal market hypothesis (FMH), best describes market behavior. The article’s major goal is to show how to appropriately model return distributions for financial market indexes, specifically which geometric Brownian motion (GBM) and geometric fractional Brownian motion (GFBM) dynamic equations best define the evolution of the S&P 500 and Stoxx Europe 600 stock indexes. Daily stock index data were acquired from the Thomson Reuters Eikon database during a ten-year period, from January 2011 to December 2020. The main contribution of this work is determining whether these markets are efficient (as defined by the EMH), in which case the appropriate stock indexes dynamic equation is the GBM, or fractal (as described by the FMH), in which case the appropriate stock indexes dynamic equation is the GFBM. In this paper, we consider two methods for calculating the Hurst exponent: the rescaled range method (RS) and the periodogram method (PE). To determine which of the dynamics (GBM, GFBM) is more appropriate, we employed the mean absolute percentage error (MAPE) method. The simulation results demonstrate that the GFBM is better suited for forecasting stock market indexes than the GBM when the analyzed markets display fractality. However, while these findings cannot be generalized, they are verisimilar.
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LIEBREICH, J. "INFLUENCE OF FINITE CAPITAL IN THE CONT–BOUCHAUD-MODEL FOR MARKET FLUCTUATIONS." International Journal of Modern Physics C 10, no. 07 (October 1999): 1317–25. http://dx.doi.org/10.1142/s0129183199001078.

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Introducing a finite capital of the shareholders in the Cont–Bouchaud-model leads to a partially realistic wealth distribution for middle positions in the wealth hierarchy. However, the number of poor shareholders is too small and the capitals of the wealthiest ones are too low. Also variation of the simulation time, of the activity and consideration of the fundamentalists' influence does not give data in agreement with reality.
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Catalin, Popa. "The Major Determinants of International Financial Markets’ Functional Efficiency." Scientific Bulletin of Naval Academy XIX, no. 1 (July 15, 2018): 168–72. http://dx.doi.org/10.21279/1454-864x-18-i1-028.

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The financial market dynamics as part of International Monetary and Financial System (IMFS), become very relevant and important at least due to the last two last decades experiences, when the excessive diversification, the lack of regulation and weaker monitoring policy implementation have marked on negative manner the market game, disrespecting the economic rationales on regional and global level. On the present paperwork, the authors have aimed to describe the most relevant functional determinants of the market efficiency, with the reference of market value assessment, risk diversification tendencies and capital allocation process. Following the proposed theoretical model comprising the market efficiency variables, the article conclusions are focused on functional depiction of International Monetary and Financial System dynamics and its sensibilities related to the market game and speculations.
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NI, JINLAN, and DEEPAK KHAZANCHI. "INFORMATION TECHNOLOGY INVESTMENT DECISIONS UNDER ASYMMETRIC INFORMATION: A MODIFIED RATIONAL EXPECTATION MODEL." International Journal of Information Technology & Decision Making 08, no. 01 (March 2009): 55–72. http://dx.doi.org/10.1142/s0219622009003260.

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In this paper, we propose that information technology (IT) managers make investment decisions about new IT initiatives based on a modified rational expectation model. Unlike traditional rational expectation models, we emphasize the relevance of market uncertainty and its impact on the return of new IT investment. This results in information acquisition decisions by managers that can cause information asymmetry. This information asymmetry is endogenous and so the IT manager can become well informed if and only if it is beneficial to do so. We also capture different levels of IT investment across managers by introducing heterogeneity across managers in terms of different levels of initial capital. Based on a simulation analysis to validate our theoretical model, we find that it is the IT manager with larger initial capital outlay who is particularly interested in acquiring information about their IT investments in order to reduce any asymmetry with competitors. Furthermore, we find that holding other things constant, fewer IT investors are informed when information cost increases and in consequence the difference of investment level between the informed and uninformed investors is more pronounced.
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Kumar, N. Satheesh. "Increasing the Cruise Range and Reducing the Capital Cost of Electric Vehicles by Integrating Auxiliary Unit with the Traction Drive." International Journal of Vehicular Technology 2016 (February 10, 2016): 1–11. http://dx.doi.org/10.1155/2016/7617692.

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Poor cruise performance of Electric Vehicles (EVs) continues to be the primary reason that impends their market penetration. Adding more battery to extend the cruise range is not a viable solution as it increases the structural weight and capital cost of the EV. Simulations identified that a vehicle spends on average 15% of its total time in braking, signifying an immense potential of the utilization of regenerative braking mechanism. Based on the analysis, a 3 kW auxiliary electrical unit coupled with the traction drive during braking events increases the recoverable energy by 8.4%. In addition, the simulation revealed that, on average, the energy drawn from the battery is reduced by 3.2% when traction drive is integrated with the air-conditioning compressor (an auxiliary electrical load). A practical design solution of the integrated unit is also included in the paper. Based on the findings, it is evident that the integration of an auxiliary unit with the traction drive results in enhancing the energy capturing capacity of the regenerative braking mechanism and decreases the power consumed from the battery. Further, the integrated unit boosts other advantages such as reduced material cost, improved reliability, and a compact and lightweight design.
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Bateman, Richard J., and Kai Cheng. "Devolved Manufacturing." Concurrent Engineering 10, no. 4 (December 1, 2002): 291–98. http://dx.doi.org/10.1177/a032012.

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Recent changes in the product creation process have shown reductions in design and manufacturing time and costs due to the introduction of new manufacturing philosophies, and computer based methods. Major improvements have also been found in the distribution phase by use of sophisticated logistic scheduling and monitoring systems. However reductions in delivery costs and times look set to be reversed by increasing congestion on road/rail/air routes. The growth of the Internet and World Wide Web has created new opportunities and most organizations are introducing some form of e-commerce. The term e-manufacturing is now being used to describe attempts to optimize the use of manufacturing facilities by allowing interaction with, and control of, these facilities from geographically distant locations, typically using the Internet/www as the communication medium. This approach uses the conventional 'model' of manufacturing. Although the removal of some problems - e.g. those due to time-zones or language - can lead to performance gains, problems associated with delivery remain due to the increased distances to customers. In order to overcome the inherent limitations of the conventional approach and create true e-manufacture, a new approach is required which utilizes existing and emergent technologies to devolve the manufacturing process closer to the customer and thus avoid long distance distribution problems. Possible benefits of this approach include the potential for true mass customization ('individualization'), elimination of logistical problems, reduction of waste and requirements for working capital, and the creation of new global markets.
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Dissertations / Theses on the topic "Capital markets – Computer simulation"

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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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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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林霙芝 and Ying-chi Lam. "Agent-based simulation of electricity markets." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31222882.

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Ono, Teruo S. M. Massachusetts Institute of Technology. "Game theoretic analysis and agent-based simulation of electricity markets." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33857.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (p. 91-92).
In power system analysis, uncertainties in the supplier side are often difficult to estimate and have a substantial impact on the result of the analysis. This thesis includes preliminary work to approach the difficulties. In the first part, a specific electricity auction mechanism based on a Japanese power market is investigated analytically from several game theoretic viewpoints. In the second part, electricity auctions are simulated using agent-based modeling.
by Teruo Ono.
S.M.
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Nguyen, Duy Huu Manh. "Analysing electricity markets with evolutionary computation." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2002. http://theses.library.uwa.edu.au/adt-WU2003.0018.

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The use of electricity in 21st century living has been firmly established throughout most of the world, correspondingly the infrastructure for production and delivery of electricity to consumers has matured and stabilised. However, due to recent technical and environmental–political developments, the electricity infrastructure worldwide is undergoing major restructuring. The forces driving this reorganisation are a complex interplay of technical, environmental, economic and political factors. The general trend of the reorganisation is a dis–aggregation of the previously integrated functions of generation, transmission and distribution, together with the establishment of competitive markets, primarily in generation, to replace previous regulated monopolistic utilities. To ensure reliable and cost effective electricity supply to consumers it is necessary to have an accurate picture of the expected generation in terms of the spatial and temporal distribution of prices and volumes. Previously this information was obtained by the regulated utility using technical studies such as centrally planned unit–commitment and economic–dispatch. However, in the new deregulated market environment such studies have diminished applicability and limited accuracy since generation assets are generally autonomous and subject to market forces. With generation outcomes governed by market mechanisms, to have an accurate picture of expected generation in the new electricity supply industry, it is necessary to complement traditional studies with new studies of market equilibrium and stability. Models and solution methods have been developed and refined for many markets, however they cannot be directly applied to the generation market due to the unique nature of electricity, having high inelastic demand, low storage capability and distinct transportation requirements. Intensive effort is underway to formulate solutions and models that specifically reflect the unique characteristics of the generation market. Various models have been proposed including game theory, stochastic and agent–based systems. Similarly there is a diverse range of solution methods including, Monte–Carlo simulations, linear–complimentary and quadratic programming. These approaches have varying degrees of generality, robustness and accuracy, some being better in certain aspects but weaker in others. This thesis formulates a new general model for the generation market based on the Cournot game, it makes no conjectures about producers’ behaviour and assumes that all electricity produced is immediately consumed. The new formulation characterises producers purely by their cost curves, which is only required to be piece–wise differentiable, and allows consumers’ characteristics to remain unspecified. The formulation can determine dynamic equilibrium and multiple equilibria of markets with single and multiple consumers and producers. Additionally stability concepts for the new market equilibrium is also developed to provide discrimination for dynamic equilibrium and to enable the structural stability of the market to be assessed. Solutions of the new formulation are evaluated by the use of evolutionary computation, which is a guided stochastic search paradigm that mimics the operation of biological evolution to iteratively produce a population of solutions. Evolutionary computation is employed as it is adept at finding multiple solutions for underconstrained systems, such as that of the new market formulation. Various enhancements to significantly improve the performance of the algorithms and simplify its application are developed. The concept of convergence potential of a population is introduced together with a system for the controlled extraction of such potential to accelerate the algorithm’s convergence and improve its accuracy and robustness. A new constraint handling technique for linear constraints that preserves the solution’s diversity is also presented together with a coevolutionary solution method for the multiple consumers and producers market. To illustrate the new electricity market formulation and its evolutionary computation solution methods, the equilibrium and stability of a test market with one consumer and thirteen thermal generators with valve point losses is examined. The case of a multiple consumer market is not simulated, though the formulation and solution methods for this case is included. The market solutions obtained not only confirms previous findings thus validating the new approach, but also includes new results yet to be verified by future studies. Techniques for market designers, regulators and other system planners in utilising the new market solutions are also given. In summary, the market formulation and solution method developed shows great promise in determining expected generation in a deregulated environment.
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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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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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Books on the topic "Capital markets – Computer simulation"

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Haim, Levy, and Solomon Sorin, eds. The microscopic simulation of financial markets: From investor behavior to market phenomena. San Diego: Academic Press, 2000.

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Automate this: How algorithms came to rule our world. New York: Portfolio/Penguin, 2012.

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Paul, Refenes, ed. Neural networks in the capital markets. Chichester: Wiley, 1995.

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Livingston, Miles. Money and capital markets. 2nd ed. New York: New York Institute of Finance, 1993.

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Livingston, Miles. Money and capital markets. 3rd ed. Cambridge, Mass: Blackwell Business, 1996.

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Money and capital markets. 2nd ed. Miami, Fla: Kolb Pub., 1993.

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Kressel, Henry. Investing in dynamic markets: Venture capital in the digital age. New York: Cambridge University Press, 2010.

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V, Lento Thomas, ed. Investing in dynamic markets: Venture capital in the digital age. New York: Cambridge University Press, 2010.

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Mühleisen, Martin. Human capital decay and persistence: A simulation approach to German unemployment. Frankfurt am Main: Campus Verlag, 1994.

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Money and capital markets: Financial instruments and their uses. Englewood Cliffs, N.J: Prentice Hall, 1990.

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Book chapters on the topic "Capital markets – Computer simulation"

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Biercewicz, Konrad, Jarosław Duda, and Mariusz Borawski. "Examining Engagement and Emotions in Financial Simulation Games." In Effective Investments on Capital Markets, 333–49. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21274-2_23.

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Fu, Xinhua, Chen Zhao, Shaohua Zhang, and Xian Wang. "Modeling and Simulation of Electricity Markets under Different Environmental Policies." In Communications in Computer and Information Science, 34–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34396-4_5.

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Andrade, Rui, Tiago Pinto, and Isabel Praça. "Trust Model for a Multi-agent Based Simulation of Local Energy Markets." In Communications in Computer and Information Science, 183–94. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51999-5_15.

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Bublitz, Andreas, Philipp Ringler, Massimo Genoese, and Wolf Fichtner. "Agent-Based Simulation of Interconnected Wholesale Electricity Markets: An Application to the German and French Market Area." In Lecture Notes in Computer Science, 32–45. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25210-0_3.

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Laužikas, Rimvydas, and Darius Plikynas. "Towards Conceptually Novel Oscillating Agent-Based Simulation of the Relationship Between Cultural Participation and Social Capital." In Communications in Computer and Information Science, 126–44. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29862-3_10.

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Tran, Ben. "Assistive Technology and Human Capital for Workforce Diversity." In Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction, 225–36. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7368-5.ch018.

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The purpose of this chapter is not on the varieties of the availability of assistive technologies (AT) and their usages based on individuals' specified disability, so that individuals who require the usage of ATs can be of equal playing field compared to those individuals who do not require the usage of ATs. For information regarding AT and the state of AT in the past, present, and future in the United States, ADA and the like refer to Tran's article titled “Assistive Technology.” The purpose of this chapter is beyond the coverage of Tran's “Assistive Technology” article, such that the purpose of this article is on the end results that AT could provide and contribute to the diverse workforce, and the role AT play in relations to workforce development—from an international perspective.
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"Pricing Options on a Constrained Currency Index: Some Simulation Results." In Foreign Exchange Issues, Capital Markets and International Banking in the 1990s (RLE Banking & Finance), 39–58. Routledge, 2012. http://dx.doi.org/10.4324/9780203108819-9.

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Seidenstricker, Sven, and Ardilio Antonino. "Business Model Innovation-Oriented Technology Management for Emergent Technologies." In Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction, 667–77. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7368-5.ch050.

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The diffusion of new technologies into the market challenges technology management in research and practice. Technology commercialization and detecting markets at an early stage of technology development have been considered in the research on technology management in recent years; however, all technologies, when it comes to the market, need to be embedded in sustainable business models. The research and concepts of business model innovations might offer support to identify market gaps which fit emerging technology and define requirements for its development; hence, the diffusion rate for new technology, as well as its scope for competitive advantage, can be increased. This chapter elaborates three main steps for developing new business models for emergent technologies through the management of technologies and influencing their development at an early stage.
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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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Ragusa, Angela T., and Emma Steinke. "Studying Locally, Interacting Globally." In Computer-Mediated Communication across Cultures, 344–68. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-833-0.ch022.

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The general trend towards freely circulating capital, goods and services, coupled with changes in the openness of labour markets, has translated into growing demands for an international dimension of education and training. Indeed, as world economies become increasingly inter-connected, international skills have grown in importance for operating on a global scale. Globally oriented firms seek internationally-competent workers versed in foreign languages and having mastered basic inter-cultural skills to successfully interact with international partners. Governments as well as individuals are looking to higher education to play a role in broadening students’ horizons and allowing them to develop a deeper understanding of the world’s languages, cultures and business methods. One way for students to expand their knowledge of other societies and languages, and hence leverage their labour market prospects, is to study in tertiary educational institutions in countries other than their own. Several OECD [Organisation for Economic Co-operation and Development] governments – especially in countries of the European Union (EU) – have set up schemes and policies to promote mobility as a means of fostering intercultural contacts and building social networks for the future. (Organisation for Economic Co-operation and Development, 2009, p. 310)
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Conference papers on the topic "Capital markets – Computer simulation"

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Jiansheng Zhou, Xing Cai, and Rongzhe Huang. "The relations between Guangxi capital markets and economic development." In 2011 International Conference on Computer Science and Service System (CSSS). IEEE, 2011. http://dx.doi.org/10.1109/csss.2011.5975047.

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Tanlamai, Uthai. "What Graphs do International Investors See in the ASEAN Capital Markets?" In 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2018. http://dx.doi.org/10.1109/compsac.2018.00052.

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Chudnovsky, B., Z. Steg, A. Kunin, A. Talanker, and A. Sabek. "Evaluation of Biomass and Torrefied Coal Co-Firing in Large Utilities Boilers." In ASME 2013 Power Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/power2013-98034.

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Renewable energy targets and CO2 emissions markets drive the transition to a cleaner and renewable energy production system. In this manner, utilities are looking for cost effective options with a minimum impact on unit performance and reliability. Co-firing biomass, in comparison with other renewable sources, is the main contributor to meeting the world’s renewable energy target. It avoids the destruction of capital, by making coal-fired power plants cleaner without having to replace them. Biomass co-firing provides a relatively low cost means of increasing renewables capacity and an effective way of taking advantage of the high thermal efficiency of large coal fired boilers. The direct displacement of coal when co-firing plus the higher conversion efficiencies generally achieved also contribute to achieving higher CO2 reduction benefits from each co-fired tone of biomass. However, coal–fired power plants are not designed to co-fire large amounts of biomass. This means that not more than 5–10% of biomass can be co-fired. In order to increase this amount, utilities have to make significant investments in dedicated biomass handling and processing equipment. Even when these investments are made, the co-firing percentage is often limited to 20% thermal fraction, because the chemical and physical properties of bio-fuels. Another possibility, to increase biomass fraction in co-firing is torrefied fuel burning. Co-firing torrefied biomass could increase considerably co-firing percentages, while saving investment and transport cost compared to biomass co-firing. However, it should be concerned regarding the ability of generators involved in coal and biomass co-firing that this alternative may impact on boiler reliability due to specific biomass properties and it this issue should be carefully evaluated during design stage. In order to prevent such an undesirable effect we initiated a study to understand the influence of using co-firing on the capacity, limitations of furnace size, heat transfer surfaces, firing systems, pulverizers, fans, airheaters and equipment for post combustion emission treatment. This paper discusses the technical and commercial application of coal and biomass/ torrefied coal co-firing in large utility boilers. In the present study we used a series of simulation using computer codes; the latter are CFD codes suitable for simulation of the performance and emissions of co-fired utility boilers and an expert system that aided in issues like boiler and furnace performance, pulverizing capabilities, post combustion treatment equipment performance, sootblowing optimization, boiler Fans operation and performance.
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Nanmugavel, J., M. Kumaresan, and G. Devaradjane. "Computer Simulation of Combustion Characteristics of MPFI Engine." In International Mobility Engineering Congress & Exposition 2005 - SAE India Technology for Emerging Markets. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2005. http://dx.doi.org/10.4271/2005-26-312.

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Guo, Dongwei, Lanshu Zhang, and Miao Liu. "Equity venture capital platform model based on complex network." In 6TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION (CDMMS 2018). Author(s), 2018. http://dx.doi.org/10.1063/1.5039112.

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Ghit, Bogdan, and Asser Tantawi. "Capri: Achieving Predictable Performance in Cloud Spot Markets." In 2021 29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS). IEEE, 2021. http://dx.doi.org/10.1109/mascots53633.2021.9614306.

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Keseric, N., M. Saguan, and G. Hadjee. "Computer as thinking Agent: Modeling the European Power Markets using Agent-Based Simulation." In EUROCON 2005 - The International Conference on "Computer as a Tool". IEEE, 2005. http://dx.doi.org/10.1109/eurcon.2005.1630243.

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Gao, Kao, Min Nian, and Yan Cheng Cheng. "Analysis of Important Factors Influencing Psychological Capital Based on Numerical Simulation Technology." In EBIMCS 2021: 2021 4th International Conference on E-Business, Information Management and Computer Science. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3511716.3511762.

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Peng, Xing-ting, and Sheng-ting Peng. "Comparison of the Limited Partnership System and Corporate System Discussion about Improving the Venture Capital Organization." In 2010 Second International Conference on Computer Modeling and Simulation (ICCMS). IEEE, 2010. http://dx.doi.org/10.1109/iccms.2010.155.

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Pfeffer, Markus, Richard Oechsner, Lothar Pfitzner, Heiner Ryssel, Berthold Ocker, and Patrick Verdonck. "Performance Optimization of Semiconductor Manufacturing Equipment by the Application of Discrete Event Simulation." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49274.

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Semiconductor wafer fabrication facilities (wafer fabs) are amongst the most complex production facilities. State-of-the-art wafer fabs comprise a large product variety, hundreds of processing steps per product, almost hundreds of machines of different types, and automated transportation systems combined with reentrant flows throughout the fab. In addition to the high complexity, wafer fabs require very high capital investment and an undisturbed operation. Semiconductor manufacturers are facing fierce competition as more global capacity is being added. Through this intense competition, semiconductor manufacturers have to improve their processes from a technological as well as from a logistical point of view in order to be successful within the global market. The logistics not only involves fab wide optimization strategies but also the individual equipment performance, for example cycle time and throughput, has to be considered. In this paper, the need for performance optimization of semiconductor manufacturing equipment is identified and the capability of discrete event simulation for such optimizations is being elaborated. Characteristics of different types of simulation models are described and the simulation model selection is explained. For case studies, several simulation models of different semiconductor manufacturing equipment have been developed. Using five examples, different optimization strategies, dependent on the application of the semiconductor manufacturing equipment, have been investigated by discrete event simulation. The paper shows the influence of the integration of metrology into deposition equipment, the impact of different batch sizes for oxidation processes, and the optimized dimensioning of photolithography equipment. Furthermore, the throughput and cycle time of different deposition equipment are optimized by the evaluation of various improvement strategies. All investigations have been performed with real data extracted from already utilized equipment or at least with data from the equipment suppliers of prototype equipment.
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Reports on the topic "Capital markets – Computer simulation"

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Quak, Evert-jan. The Link Between Demography and Labour Markets in sub-Saharan Africa. Institute of Development Studies (IDS), January 2020. http://dx.doi.org/10.19088/k4d.2021.011.

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This rapid review synthesises the literature from academic, policy, and knowledge institution sources on how demography affects labour markets (e.g. entrants, including youth and women) and labour market outcomes (e.g. capital-per-worker, life-cycle labour supply, human capital investments) in the context of sub-Saharan Africa. One of the key findings is that the fast-growing population in sub-Saharan Africa is likely to affect the ability to get productive jobs and in turn economic growth. This normally happens when workers move from traditional (low productivity agriculture and household businesses) sectors into higher productivity sectors in manufacturing and services. In theory the literature shows that lower dependency ratios (share of the non-working age population) should increase output per capita if labour force participation rates among the working age population remain unchanged. If output per worker stays constant, then a decline in dependency ratio would lead to a rise in income per capita. Macro simulation models for sub-Saharan Africa estimate that capital per worker will remain low due to consistently low savings for at least the next decades, even in the low fertility scenario. Sub-Saharan African countries seem too poor for a quick rise in savings. As such, it is unlikely that a lower dependency ratio will initiate a dramatic increase in labour productivity. The literature notes the gender implications on labour markets. Most women combine unpaid care for children with informal and low productive work in agriculture or family enterprises. Large family sizes reduce their productive labour years significantly, estimated at a reduction of 1.9 years of productive participation per woman for each child, that complicates their move into more productive work (if available). If the transition from high fertility to low fertility is permanent and can be established in a relatively short-term period, there are long-run effects on female labour participation, and the gains in income per capita will be permanent. As such from the literature it is clear that the effect of higher female wages on female labour participation works to a large extent through reductions in fertility.
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