Academic literature on the topic 'Computerised trading'

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Journal articles on the topic "Computerised trading"

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Marriott, Pru, Siew Min Tan, and Neil Marriott. "Experiential Learning – A Case Study of the Use of Computerised Stock Market Trading Simulation in Finance Education." Accounting Education 24, no. 6 (November 2, 2015): 480–97. http://dx.doi.org/10.1080/09639284.2015.1072728.

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Baum, Ido. "Innovative Regulation through Competition: A Response to Rapidly Evolving Markets." Israel Law Review 49, no. 2 (May 26, 2016): 197–236. http://dx.doi.org/10.1017/s0021223716000108.

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How can regulators keep up with sea changes in dynamic markets? This article proposes the use of competitive forces to generate innovative regulation. In markets where national, social, cultural, economic or other interests must be maintained in the face of evolving risks, heightened uncertainties and dynamic technological developments, regulators have to learn by doing.This article proposes the novel concept of intra-regulatory competition (IRC), a powerful method for developing innovative regulatory solutions by staging a contest between different regulatory regimes imposed simultaneously on market participants in a given jurisdiction. The article describes the principles of and justifications for IRC, conditions for its effective implementation, its potential benefits and drawbacks. IRC is analysed against the backdrop of similar concepts such as randomised law, experimental law and inter-jurisdictional competition. Finally, the article argues that the regulation of media content in order to promote cultural pluralism and the regulation of computerised trading in securities and futures markets are fields that are ripe for and compatible with the application of IRC.
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Goldstein, Michael A., Pavitra Kumar, and Frank C. Graves. "Computerized and High-Frequency Trading." Financial Review 49, no. 2 (April 7, 2014): 177–202. http://dx.doi.org/10.1111/fire.12031.

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Goldstein, Michael A. "Special Issue on Computerized and High-Frequency Trading: Guest Editor's Note." Financial Review 49, no. 2 (April 7, 2014): 173–75. http://dx.doi.org/10.1111/fire.12030.

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Pataropura, Amesanggeng, Ivan Darmawan Sabatino, and Riki Riki. "Inventory Management with Forecasting Method: Single Moving Average and Trend Projection." bit-Tech 2, no. 3 (November 9, 2020): 110–21. http://dx.doi.org/10.32877/bt.v2i3.162.

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Inventory management using forecasting methods aims to improve effectiveness and efficiency that facilitate trading businesses in the process of business transactions, improve delivery of information quickly, accurately, and transaction data properly and minimize errors. The system running in the system of selling goods is still manual, that is, it is not well computerized. The method used is forecasting which helps determine the estimated future stock of goods. Single Moving Average and Trend Projection. It can be concluded that the results of implementing this new system can assist trading businesses in recording transactions in the system. We can predict the current flow of goods which has been calculated based on 2 modules that have a connection with the system.
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Gilbert, Christopher L., and Herbert A. Rijken. "How is Futures Trading Affected by the Move to a Computerized Trading System? Lessons from the LIFFE FTSE 100 Contract." Journal of Business Finance Accounting 33, no. 7-8 (September 2006): 1267–97. http://dx.doi.org/10.1111/j.1468-5957.2006.00623.x.

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Tung, Y. Alex, and James R. Marsden. "Trading Volumes with and Without Private Information: A Study Using Computerized Market Experiments." Journal of Management Information Systems 17, no. 1 (June 2000): 31–57. http://dx.doi.org/10.1080/07421222.2000.11045629.

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Erlanie Sufarnap, Mirza Ilhami, and Jefri Junifer Pangaribuan. "Analisis dan Perancangan Sistem Informasi Penjualan pada Toko XYZ." SATESI: Jurnal Sains Teknologi dan Sistem Informasi 2, no. 2 (October 29, 2022): 170–76. http://dx.doi.org/10.54259/satesi.v2i2.1181.

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Along with the development of the times in the field of technology, companies are increasingly being triggered to use advanced technology as a tool or medium to survive and win the increasingly fierce competition. Internet technology has been proven to be one of the effective and efficient information media in disseminating information that can be accessed by anyone, anytime and anywhere. Internet technology has a huge effect on commerce or business. XYZ Store is a trading business engaged in the sale of plastic. The sales system at the XYZ store still uses a manual system and does not use more competent and computerized technology. The plastic sales transaction system that is done manually requires computerized data collection as a tool. Due to these problems, it is necessary to do research to find solutions that can solve problems at the XYZ store. The results of the research are the construction of a web-based plastic sales information system that makes it easier for users to place orders and payments through a computerized system that was built. Through this web information system, XYZ store can reach more customers from various provinces and cities in Indonesia.
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Nikolaiev, Mykyta. "OVERVIEW OF ONLINE TRADING INFORMATION TECHNOLOGIES." Management of Development of Complex Systems, no. 50 (June 27, 2022): 106–14. http://dx.doi.org/10.32347/2412-9933.2022.50.106-114.

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It is impossible to deny the importance of technology in our modern life. Technology has had a significant impact on almost every aspect of modern life, including but not limited to socializing, commuting, shopping, studying, and everything else. Over the years, the impact of technology has grown to such an extent that even aspects such as investment and the stock market are beginning to feel some impact. The stock market and technological progress are important components of the modern world. Technology has led to fundamental changes in the way financial markets operate, starting with the very first stage of stock formation and continuing to trade those stocks. Technology has undoubtedly radically changed the way investments are made. Financial markets today are largely computerized ‒ from software-based bidding to price determination and direct clearing and settlement, computer technologies have replaced manual operations and simplified functions throughout the value chain in trading. Stock markets around the world are leveraging technological advances for Secure Transaction Management and monitoring. Until a few years ago, brokers shouted at each other for exchanging orders on the stock exchange. However, today's stock exchange trading takes place without physical contact from brokers and provides unlimited opportunities for studying market trends and buying stocks. Thanks to the introduction of technology, the stock market has become more user-friendly, providing faster settlements on transactions, increased transparency, increased security, automated surveillance, and much more. The close relationship between information technologies and financial markets is beyond doubt, as is the relevance of research on the use of various information technologies and innovative solutions to achieve the highest results in financial markets. The purpose of this study is to identify and analyze modern information technologies used in securities trading. In particular, attention is focused on: tools for predicting trends in financial markets; technological solutions for improving financial literacy of the population, open access to the securities market regardless of the age category of the user, his professional activity, etc.; advantages and disadvantages of online trading, the specifics of online brokers and their role in trading on financial markets; technical analysis, time series analysis and quantum computing for analyzing trends in financial markets; using information technologies in the derivatives market.
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Trapp, James N. "A Commodity Market Simulation Game for Teaching Market Risk Management." Journal of Agricultural and Applied Economics 21, no. 1 (July 1989): 139–47. http://dx.doi.org/10.1017/s008130520000100x.

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AbstractThe Market Risk Game is a computerized simulation game available for IBM PC and Apple II microcomputers that is designed to give realistic practice in making decisions in a risky market environment. It illustrates the use of hedging and put options to reduce risk in livestock and grain markets. It is best suited for individuals who have a basic understanding of commodity trading, but who need experience to solidify their knowledge to a functional level. Through the game, this is done without facing the risk of an actual investment or requiring the time involved in watching a market over an extended period.
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Dissertations / Theses on the topic "Computerised trading"

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Hill, Amelia Mary. "Three Essays on the Impact of Electronic Screen Trading in Futures Markets." Thesis, The University of Sydney, 2001. http://hdl.handle.net/2123/588.

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This dissertation consists of 3 essays that examine the impact of electronic screen trading in futures markets. The research provides empirical evidence on increasingly significant issues given the rapid global advances in technology used in securities markets. Each essay addresses the scarcity of conclusive research in order to aid researchers, regulators, exchange policy makers and systems builders as they confront issues related to electronic trading systems.
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Hill, Amelia Mary. "Three Essays on the Impact of Electronic Screen Trading in Futures Markets." University of Sydney. Finance, 2001. http://hdl.handle.net/2123/588.

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This dissertation consists of 3 essays that examine the impact of electronic screen trading in futures markets. The research provides empirical evidence on increasingly significant issues given the rapid global advances in technology used in securities markets. Each essay addresses the scarcity of conclusive research in order to aid researchers, regulators, exchange policy makers and systems builders as they confront issues related to electronic trading systems.
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Turner, Steven C. "Economic implications of a computerized trading system for grains." Diss., Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/80332.

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A comparison was made between the current telephone trading system (TTS) used to trade cash grain and a computerized trading system (CTS). Three steps were necessary to accomplish this task. First, the past and present TTS were explored through a historical case study and a survey of grain traders, respectively. Second, a theoretical framework based on the principle that the price discovery process is a communication process was developed to guide the comparison. Finally, a CTS for grains was conceptualized and a demonstration computer program was written to model such a system. Using communication and functional performance criteria, the two systems were compared. It appears that a CTS is a more effective price discovery mechanism due to the explicit data bases and software inherent to it. In addition, a CTS is a global and centralized trading system as opposed to a TTS which is dyadic and decentralized. The main implications of a CTS to the grain industry was hypothesized to be an increase in pricing and technical efficiency in the price discovery process. The result of this increased efficiency is to increase competition and affect market structure. Continued pressure toward an oligopolistic structure could be countered by the symmetric information available over a CTS.
Ph. D.
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Lloyd, Renee M. "The economic implications of a computerized grain trading system for Southeastern poultry firms." Thesis, Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/91049.

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The implications of a computerized grain trading system on the Southeast poultry firms was studied. The purposes of this study were to describe the current grain trading system, identify sources of inefficiency in the system, and infer the possible changes in efficiency due to a computerized grain trading system. A telephone survey was used to gather the information from the grain buyers. The trading practices used by the buyers were identified. The poultry firm's amount of storage, the quantity, quality, oriqin, transportation mode of the purchased qrain, and information about the selling firm was gathered. From the trade information, the pricing and technical ineff iencies plus the level of competition in the market were identified. The primary economic implications to Southeastern poultry firms if a computerized grain trading system were in place were the level of competition would increase, technical efficiency could increase from a decrease in costs of labor and information search, pricing efficiency could increase due to more structured market information, and the middle level margins could decrease and create an overall more efficient market.
M.S.
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Dong, Shi Der, and 董士德. "The influence of trading frequencies and computerized trading system on the performance of Taiwan stock market." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/73335406298293942478.

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Hsu, Wan-Chun, and 徐婉君. "Comparison of Market Liquidity Between Computerized and Open Outcry Trading Systems : A Study on the Relationship Between Bid-Ask Spread and Volume for BUND Futures." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/52779611931518403855.

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Books on the topic "Computerised trading"

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Goldman, Ethel R. K. Computerised trading strategies: How to program for the stock and futures market. New York: Wiley, 1988.

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1948-, Hexton Richard, ed. Technical analysis in the options markets: The effective use of computerised trading systems. London: Kogan Page, 1993.

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Mark, Jurik, ed. Computerized trading: Maximizing day trading and overnight profits. New York: New York Institute of Finance, 1999.

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Goldman, Ethel R. K. Computerized trading strategies: How to program for the stock and futures markets. New York: Wiley, 1988.

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Nicholas, David. Commodities futures trading: A guide to information sources and computerized services. London: Mansell, 1985.

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Commodities futures trading: A guide to information sources and computerized services. London: Mansell Pub., 1985.

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United States. Congress. Senate. Committee on Banking, Housing, and Urban Affairs. Subcommittee on Securities, Insurance, and Investment. Computerized trading: What should the rules of the road be? : hearing before the Subcommittee on Securities, Insurance, and Investment of the Committee on Banking, Housing, and Urban Affairs, United States Senate, One Hundred Twelfth Congress, second session ... September 20, 2012. Washington: U.S. Government Printing Office, 2013.

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United, States Congress Senate Committee on Banking Housing and Urban Affairs Subcommittee on Securities Insurance and Investment. Computerized trading venues: What should the rules of the road be? : hearing before the Subcommittee on Securities, Insurance, and Investment of the Committee on Banking, Housing, and Urban Affairs, United States Senate, One Hundred Twelfth Congress, second session ... December 18, 2012. Washington: U.S. Government Printing Office, 2013.

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Hexton, Richard. Technical Analysis in the Options Market: The Effective Use of Computerised Trading Systems. Kogan Page, 1993.

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Jurik, Mark. Computerized Trading: Maximizing Day Trading and Overnight Profits (New York Institute of Finance). New York Institute of Finance, 1998.

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Book chapters on the topic "Computerised trading"

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Ozenbas, Deniz, Michael S. Pagano, Robert A. Schwartz, and Bruce W. Weber. "Trading and Technology: An Information Systems Course Application." In Classroom Companion: Business, 71–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74817-3_4.

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AbstractFinancial markets today are highly computerized -- from software-driven order submission to price determination to straight-through clearing and settlement -- computer technology has displaced manual activities and streamlined functions throughout the trading value chain. The previous chapters examined microeconomic principles that underpin trading and price-setting, and finance theory that provides analytical frameworks for market outcomes. Our analysis introduces real market frictions and examines how transactions costs and heterogeneity among market participants makes market structure and tracing mechanism design crucial determinants of market outcomes and behavior. . In this chapter, we drill down further into the realities of a non-frictionless market in order to focus on how technology can enhance the efficiency of an actual marketplace. Challenging market design issues are encountered when developing and operating an actual trading facility, and as IT professionals know, the devil is in the details. The practical considerations in operating a market system successfully are the next topic this book addresses.
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"Computerized Technical Analysis." In Study Guide for the New Trading for a Living, 27–36. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119203810.ch4.

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Rust, John, John H. Miller, and Richard Palmer. "Behavior of Trading Automata in a Computerized Double Auction Market." In The Double Auction Market Institutions, Theories, and Evidence, 155–98. Routledge, 2018. http://dx.doi.org/10.4324/9780429492532-8.

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Backhouse, Paul N. "Building Capacity in a Tin Can." In We Come for Good. University Press of Florida, 2017. http://dx.doi.org/10.5744/florida/9780813062280.003.0003.

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Institutional histories are often rarely considered when measuring the performance of an organization. This is largely because the metrics that are used to measure performance are derived from the world of business and are therefore geared towards optimization. The following chapter goes against the grain in presenting a biographical institutional history which examines the temporal evolvement of the THPO. As the Seminole Tribe of Florida undertakes to launch a Tribal-wide computerized permitting system for on-reservation development, the reality is that less than a decade ago requests for cultural review were more typically obtained by happenstance during trips to the on-reservation trading post for gas. Examined through a historical lens the fluidity of organizational dynamics underscores the administrative and technological leaps felt necessary by the Tribe to productively conduct heritage management in the early twenty-first century.
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Doyle, Liam. "Supply Chain Information Systems and Decision Support." In Business Information Systems, 144–53. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-969-9.ch011.

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Supply chains have become have become increasingly important as organisations have moved from competing on a stand-alone basis to recognizing that their success depends upon their trading partners. This includes their upstream suppliers and downstream customers. A supply chain involves a number of tiers of suppliers and customers that extends from the initial source of raw materials through to the final consumer of the finished product. Supply chain management involves the coordination of a number of functional areas in multiple organisations. Large amounts of information can be captured describing the activities in these organisations. It is possible to use this information in order to assist in decision making at strategic, tactical, and operational levels of the supply chain. The large volume of information available and the interdependencies between the activities within these multiple organisations means that it is necessary to employ computerized decision support systems to optimize supply chain activities.
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Smith, Gary. "Beat the Market II." In The AI Delusion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198824305.003.0013.

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Nowadays, technical analysts are called quants. Being overly impressed by computers, we are overly impressed by quants using computers instead of pencils and graph paper. Quants do not think about whether the patterns they discover make sense. Their mantra is, “Just show me the data.” Indeed, many quants have PhDs in physics or mathematics and only the most rudimentary knowledge of economics or finance. That does not deter them. If anything, their ignorance encourages them to search for patterns in the most unlikely places. The logical conclusion of moving from technical analysts using pencils to quants using computers is to eliminate humans entirely. Just turn the technical analysis over to computers. A 2011 article in the wonderful technology magazine Wired was filled with awe and admiration for computerized stock trading systems. These black-box systems are called algorithmic traders (algos) because the computers decide to buy and sell using computer algorithms in place of human judgment. Humans write the algorithms that guide the computers but, after that, the computers are on their own. Some humans are dumbstruck. After Pepperdine University invested 10 percent of its portfolio in quant funds in 2016, the director of investments argued that, “Finding a company with good prospects makes sense, since we look for under valued things in our daily lives, but quant strategies have nothing to do with our lives.” He thinks that not having the wisdom and common sense acquired by being alive is an argument for computers. He is not alone. Black-box investment algorithms now account for nearly a third of all U.S. stock trades. Some of these systems track stock prices; others look at economic and noneconomic data and dissect news stories. They all look for patterns. A momentum algorithm might notice that when a particular stock trades at a higher price for five straight days, the price is usually higher on the sixth day. A mean-reversion algorithm might notice that when a stock trades at a higher price for eight straight days, the price is usually lower on the ninth day. A pairs-trading algorithm might notice that two stock prices usually move up and down together, suggesting an opportunity when one price moves up and the other doesn’t.
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Conference papers on the topic "Computerised trading"

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Mallick, Devayan, Vincent C. S. Lee, and Yew Soon Ong. "An empirical study of Genetic Programming generated trading rules in computerized stock trading service system." In 2008 International Conference on Service Systems and Service Management (ICSSSM 2008). IEEE, 2008. http://dx.doi.org/10.1109/icsssm.2008.4598507.

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