Download or read book Realistic Simulation of Financial Markets written by Hajime Kita and published by Springer. This book was released on 2016-07-06 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes up unique agent-based approaches to solving problems related to stock and their derivative markets. Toward this end, the authors have worked for more than 15 years on the development of an artificial market simulator called U-Mart for use as a research and educational tool. A noteworthy feature of the U-Mart simulator compared to other artificial market simulators is that U-Mart is an ultra-realistic artificial stock and their derivative market simulator. For example, it can simulate “arrowhead,” a next-generation trading system used in the Tokyo Stock Exchange and other major markets, as it takes into consideration the institutional design of the entire market. Another interesting feature of the U-Mart simulator is that it permits both human and computer programs to participate simultaneously as traders in the artificial market. In this book, first the details of U-Mart are explained, enabling readers to install and run the simulator on their computers for research and educational purposes. The simulator thus can be used for gaming simulation of the artificial market and even for users as agents to implement their own trading strategies for agent-based simulation (ABS).The book also presents selected research cases using the U-Mart simulator. Here, topics include automated acquisition of trading strategy using artificial intelligence techniques, evaluation of a market maker system to treat thin markets such as those for small and regional businesses, systemic risk analysis of the financial market considering institutional design of the market, and analysis of how humans behave and learn in gaming simulation. New perspectives on artificial market research are provided, and the power, potential, and challenge of ABS are discussed. As explained in this important work, ABS is considered to be an effective tool as the third approach of social science, an alternative to traditional literary and mathematical approaches.

Download or read book SHIFT written by Thiago W. Alves and published by . This book was released on 2020 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper presents a new financial market simulator that may be used as a tool in both industry and academia for research in market micro-structure. It allows multiple automated traders and/or researchers to simultaneously connect to an exchange-like environment, where they are able to asynchronously trade several financial assets at the same time. In its current iteration, this order-driven market implements the basic rules of U.S. equity markets, supporting both market and limit orders, and executing them in a first-in-first-out fashion. We overview the system architecture and we present possible use cases. We demonstrate how a set of automated agents is capable of producing a price process with characteristics similar to the statistics of real price from financial markets. Finally, we detail a market stress scenario and we draw, what we believe to be, interesting conclusions about crash events.

Download or read book A NASDAQ Market Simulation written by Vincent Darley and published by World Scientific. This book was released on 2007 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This pioneering book describes the applications of agent-based modeling to financial markets. It presents a new paradigm for finance, where markets are treated as complex systems whose behavior emerges as a result of interactions of market participants, market institutions, and market rules. This includes both a presentation of the conceptual model and its software implementation. It also summarises the result of the profound research on the successful practical application of this new approach to answer questions regarding the NASDAQ Stock Market's decimalization that was implemented in 2001.The book presents conceptual foundations for modeling markets as complex systems. It describes the agent-based model of the NASDAQ stock market, including strategies used by market-makers and investors, market participants interactions, and impacts of rules and regulations. It includes analyses of simulation behavior, comparison with the behaviors observed in the real-world markets (existence of fat tails, spread clustering, etc.), and predictions about possible outcomes of decimalization. A framework for calibrating the market behavior and individual market-makers strategies to historical data is also presented.

Download or read book Simulation of Financial Markets with Agent Based Model written by Hajime Kita and published by Springer. This book was released on 2015-12-25 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes up unique agent-based approaches to solving problems related to stock and their derivative markets. Toward this end, the authors have worked for more than 15 years on the development of an artificial market simulator called U-Mart for use as a research and educational tool. A noteworthy feature of the U-Mart simulator compared to other artificial market simulators is that U-Mart is an ultra-realistic artificial stock and their derivative market simulator. For example, it can simulate “arrowhead,” a next-generation trading system used in the Tokyo Stock Exchange and other major markets, as it takes into consideration the institutional design of the entire market. Another interesting feature of the U-Mart simulator is that it permits both human and computer programs to participate simultaneously as traders in the artificial market. In this book, first the details of U-Mart are explained, enabling readers to install and run the simulator on their computers for research and educational purposes. The simulator thus can be used for gaming simulation of the artificial market and even for users as agents to implement their own trading strategies for agent-based simulation (ABS).The book also presents selected research cases using the U-Mart simulator. Here, topics include automated acquisition of trading strategy using artificial intelligence techniques, evaluation of a market maker system to treat thin markets such as those for small and regional businesses, systemic risk analysis of the financial market considering institutional design of the market, and analysis of how humans behave and learn in gaming simulation. New perspectives on artificial market research are provided, and the power, potential, and challenge of ABS are discussed. As explained in this important work, ABS is considered to be an effective tool as the third approach of social science, an alternative to traditional literary and mathematical approaches.

Download or read book Financial Market Simulation written by Ph.D. Jacobs (Bruce I.) and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: When they want to see how complex systems work, scientists often turn to asynchronous-time simulation, which allows processes to change sporadically over time, typically at irregular intervals. While rarely used in finance today, such models may turn out to be valuable tools for understanding how markets respond to changes in the participation rates of different types of investors, for example, or to changes in regulatory or investment policies. The asynchronous, discrete-event, stock market simulator described here allows users to create a model of the market, using their own inputs. Users can vary the numbers of investors, traders, portfolio analysts, and securities, as well as their investing and trading decision rules. Such a simulation may be able to provide a more realistic picture of complex markets.

Download or read book Microscopic Simulation of Financial Markets written by Haim Levy and published by Elsevier. This book was released on 2000-08-02 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microscopic Simulation (MS) uses a computer to represent and keep track of individual ("microscopic") elements in order to investigate complex systems which are analytically intractable. A methodology that was developed to solve physics problems, MS has been used to study the relation between microscopic behavior and macroscopic phenomena in systems ranging from those of atomic particles, to cars, animals, and even humans. In finance, MS can help explain, among other things, the effects of various elements of investor behavior on market dynamics and asset pricing. It is these issues in particular, and the value of an MS approach to finance in general, that are the subjects of this book. The authors not only put their work in perspective by surveying traditional economic analyses of investor behavior, but they also briefly examine the use of MS in fields other than finance. Most models in economics and finance assume that investors are rational. However, experimental studies reveal systematic deviations from rational behavior. How can we determine the effect of investors' deviations from rational behavior on asset prices and market dynamics? By using Microscopic Simulation, a methodology originally developed by physicists for the investigation of complex systems, the authors are able to relax classical assumptions about investor behavior and to model it as empirically and experimentally observed. This rounded and judicious introduction to the application of MS in finance and economics reveals that many of the empirically-observed "puzzles" in finance can be explained by investors' quasi-rationality. Researchers use the book because it models heterogeneous investors, a group that has proven difficult to model. Being able to predict how people will invest and setting asset prices accordingly is inherently appealing, and the combination of computing power and statistical mechanics in this book makes such modeling possible. Because many finance researchers have backgrounds in physics, the material here is accessible. Emphasizes investor behavior in determining asset prices and market dynamics Introduces Microscopic Simulation within a simplified framework Offers ways to model deviations from rational decision-making

Download or read book Stock Market Game written by Dianne Draze and published by . This book was released on 2005-01-01 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: The stock market is in the news every day, and even people who do not personally trade securities or intend to make a fortune by trading stocks have an interest in knowing something about the stock market. By giving students an understanding of the stock market, we are preparing them to deal knowledgeably with an area of our society that has a vast effect on their lives. Whether or not they choose later in life to trade stocks on an individual basis, they will have the knowledge that will enable them to understand this aspect of the economy and how their personal economic pictures are affected by the larger economic landscape. The Stock Market Game is a fun, informative simulation game that provides the information and framework for students to learn about the economics and psychology of the stock market. This easy-to-use guide includes: information about all aspects of company ownership; information on stocks, stock prices, the stock market, buying and selling stocks, and forces that affect stock prices; a minisimulation that can be completed in one week; and a longer simulation that follows the real stock market for several months. All information is presented on reproducible pages, illustrated with examples, and followed by exercises that let students apply their knowledge. This motivating unit will give students insights they will carry with them into their adult lives. This combination curriculum guide/simulation has it all. All you have to do is add current stock prices from your newspaper or the Internet.

Download or read book Stock Market Simulations written by Stephanie Buehler and published by Teacher Created Resources. This book was released on 2000-06 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: The stock market is a fascinating, exciting part of our nation's economy. Stock Market Simulations is an interactive means of piquing students' interest and involving them in concepts related to the world of business and finance.

Download or read book Agent Based Modeling written by Norman Ehrentreich and published by Springer Science & Business Media. This book was released on 2007-10-30 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reconciles the existence of technical trading with the Efficient Market Hypothesis. By analyzing a well-known agent-based model, the Santa Fe Institute Artificial Stock Market (SFI-ASM), it finds that when selective forces are weak, financial evolution cannot guarantee that only the fittest trading rules will survive. Its main contribution lies in the application of standard results from population genetics which have widely been neglected in the agent-based community.

Download or read book Deep Learning for Financial Market Simulation written by Yushi Ye and published by . This book was released on 2019 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Simulation in Computational Finance and Economics Tools and Emerging Applications written by Alexandrova-Kabadjova, Biliana and published by IGI Global. This book was released on 2012-08-31 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation has become a tool difficult to substitute in many scientific areas like manufacturing, medicine, telecommunications, games, etc. Finance is one of such areas where simulation is a commonly used tool; for example, we can find Monte Carlo simulation in many financial applications like market risk analysis, portfolio optimization, credit risk related applications, etc. Simulation in Computational Finance and Economics: Tools and Emerging Applications presents a thorough collection of works, covering several rich and highly productive areas of research including Risk Management, Agent-Based Simulation, and Payment Methods and Systems, topics that have found new motivations after the strong recession experienced in the last few years. Despite the fact that simulation is widely accepted as a prominent tool, dealing with a simulation-based project requires specific management abilities of the researchers. Economic researchers will find an excellent reference to introduce them to the computational simulation models. The works presented in this book can be used as an inspiration for economic researchers interested in creating their own computational models in their respective fields.

Download or read book Mastering the Art of Equity Trading Through Simulation Web Based Software written by Robert A. Schwartz and published by John Wiley & Sons. This book was released on 2010-07-06 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: An interactive guide to successfully trading in today's markets Mastering the Art of Equity Trading Through Simulation is a guidebook to interactive computer trading simulation designed to provide participants with hands-on experience in making tactical decisions and implementing them in different market environments-from continuous order drive markets to call auction markets, and from dealer markets to dark liquidity pools. By showing traders how to operate in these different markets, this reliable resource quickly reveals a good deal about what trading involves and how market design impacts trading decisions. Provides a virtual platform that gives users hands-on experience in making tactical trading decisions Shows exactly how prices are established in the marketplace Teaches how the structure of a marketplace influences participant decisions Learning to trade through study is like learning about a roller coaster ride verbally. You may get the idea of going up and down and around curves, but will lack the actual experience. Mastering the Art of Equity Trading Through Simulation will get you as close as possible to the markets-without actually going in them-and prepare you to profit once you're really there.

Download or read book Monte Carlo Simulation with Applications to Finance written by Hui Wang and published by CRC Press. This book was released on 2012-05-22 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developed from the author’s course on Monte Carlo simulation at Brown University, Monte Carlo Simulation with Applications to Finance provides a self-contained introduction to Monte Carlo methods in financial engineering. It is suitable for advanced undergraduate and graduate students taking a one-semester course or for practitioners in the financial industry. The author first presents the necessary mathematical tools for simulation, arbitrary free option pricing, and the basic implementation of Monte Carlo schemes. He then describes variance reduction techniques, including control variates, stratification, conditioning, importance sampling, and cross-entropy. The text concludes with stochastic calculus and the simulation of diffusion processes. Only requiring some familiarity with probability and statistics, the book keeps much of the mathematics at an informal level and avoids technical measure-theoretic jargon to provide a practical understanding of the basics. It includes a large number of examples as well as MATLAB® coding exercises that are designed in a progressive manner so that no prior experience with MATLAB is needed.

Download or read book Liquidity Markets and Trading in Action written by Deniz Ozenbas and published by Springer Nature. This book was released on 2022 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book addresses four standard business school subjects: microeconomics, macroeconomics, finance and information systems as they relate to trading, liquidity, and market structure. It provides a detailed examination of the impact of trading costs and other impediments of trading that the authors call rictions It also presents an interactive simulation model of equity market trading, TraderEx, that enables students to implement trading decisions in different market scenarios and structures. Addressing these topics shines a bright light on how a real-world financial market operates, and the simulation provides students with an experiential learning opportunity that is informative and fun. Each of the chapters is designed so that it can be used as a stand-alone module in an existing economics, finance, or information science course. Instructor resources such as discussion questions, Powerpoint slides and TraderEx exercises are available online.

Download or read book Monte Carlo Simulation and Finance written by Don L. McLeish and published by John Wiley & Sons. This book was released on 2011-09-13 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monte Carlo methods have been used for decades in physics, engineering, statistics, and other fields. Monte Carlo Simulation and Finance explains the nuts and bolts of this essential technique used to value derivatives and other securities. Author and educator Don McLeish examines this fundamental process, and discusses important issues, including specialized problems in finance that Monte Carlo and Quasi-Monte Carlo methods can help solve and the different ways Monte Carlo methods can be improved upon. This state-of-the-art book on Monte Carlo simulation methods is ideal for finance professionals and students. Order your copy today.

Download or read book Financial Trading and Investing written by John L. Teall and published by Academic Press. This book was released on 2018-03-21 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Trading and Investing, Second Edition, delivers the most current information on trading and market microstructure for undergraduate and master’s students. Without demanding a background in econometrics, it explores alternative markets and highlights recent regulatory developments, implementations, institutions and debates. New explanations of controversial trading tactics (and blunders), such as high-frequency trading, dark liquidity pools, fat fingers, insider trading, and flash orders emphasize links between the history of financial regulation and events in financial markets. New sections on valuation and hedging techniques, particularly with respect to fixed income and derivatives markets, accompany updated regulatory information. In addition, new case studies and additional exercises are included on a website that has been revised, expanded and updated. Combining theory and application, the book provides the only up-to-date, practical beginner's introduction to today's investment tools and markets. Concentrates on trading, trading institutions, markets and the institutions that facilitate and regulate trading activities Introduces foundational topics relating to trading and securities markets, including auctions, market microstructure, the roles of information and inventories, behavioral finance, market efficiency, risk, arbitrage, trading technology, trading regulation and ECNs Covers market and technology advances and innovations, such as execution algo trading, Designated Market Makers (DMMs), Supplemental Liquidity Providers (SLPs), and the Super Display Book system (SDBK)

Download or read book Modelling and Simulation of Stochastic Volatility in Finance written by Christian Kahl and published by Universal-Publishers. This book was released on 2008 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: The famous Black-Scholes model was the starting point of a new financial industry and has been a very important pillar of all options trading since. One of its core assumptions is that the volatility of the underlying asset is constant. It was realised early that one has to specify a dynamic on the volatility itself to get closer to market behaviour. There are mainly two aspects making this fact apparent. Considering historical evolution of volatility by analysing time series data one observes erratic behaviour over time. Secondly, backing out implied volatility from daily traded plain vanilla options, the volatility changes with strike. The most common realisations of this phenomenon are the implied volatility smile or skew. The natural question arises how to extend the Black-Scholes model appropriately. Within this book the concept of stochastic volatility is analysed and discussed with special regard to the numerical problems occurring either in calibrating the model to the market implied volatility surface or in the numerical simulation of the two-dimensional system of stochastic differential equations required to price non-vanilla financial derivatives. We introduce a new stochastic volatility model, the so-called Hyp-Hyp model, and use Watanabe's calculus to find an analytical approximation to the model implied volatility. Further, the class of affine diffusion models, such as Heston, is analysed in view of using the characteristic function and Fourier inversion techniques to value European derivatives.