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Books on the topic 'Financet Computer simulation'

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Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

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1

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

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

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2

Simulation zur kommunalen Haushaltsplanung. Frankfurt am Main: P. Lang, 1992.

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3

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

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4

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

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5

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

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6

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

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7

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

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8

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

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9

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

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10

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

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11

Computer simulation in financial risk management: A guide for business planners and strategists. New York: Quorum Books, 1991.

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12

Pachamanova, Dessislava A. Simulation and optimization in finance: Modeling with MATLAB, @Risk, or VBA. Hoboken, NJ: Wiley, 2010.

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13

1981-, Laurito Josh, and Loh Michael 1977-, eds. Financial simulation modeling in Excel: A step-by-step guide. Hoboken, N.J: John Wiley & Sons, 2011.

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14

The Dow Jones-Irwin guide to financial modeling. Homewood, Ill: Dow Jones-Irwin, 1987.

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15

1963-, Luna Francesco, and Perrone Alessandro, eds. Agent-based methods in economics and finance: Simulations in Swarm. Boston: Kluwer Academic Publishers, 2002.

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16

Brabazon, Anthony. Natural Computing in Computational Finance: Volume 4. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2012.

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17

Preinitz, William. Intermediate structured finance modeling: Leveraging excel, VBA, access, and powerpoint. Hoboken, N.J: Wiley, 2011.

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18

Brabazon, Anthony. Natural Computing in Computational Finance. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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19

L, Kraemer Kenneth, ed. Modeling as negotiating: The political dynamics of computer models in the policy process. Norwood, N.J: Ablex Pub. Corp., 1985.

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20

Mun, Johnathan. Advanced analytical models: Over 800 models and 300 applications from the basel II accord to wall street and beyond. Hoboken, N.J: Wiley, 2008.

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21

Business forecasting using financial models: How to use the key techniques of financial modelling to interpret business proposals. London: Financial Times/Pitman, 1994.

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22

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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23

1981-, Niedermaier Matthew, ed. Intermediate structured finance modeling: Fast track VBA and access. Hoboken, N.J: Wiley, 2011.

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24

Hubert, Gatignon, ed. MARKSTRAT3: The strategic marketing simulation. Cincinnati, Ohio: South-Western College Pub., 1998.

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25

Fast track structured finance modeling: Jump start VBA. Hoboken, N.J: John Wiley & Sons, 2009.

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26

Blok, Mark W. J. Dynamic models of the firm: Determining optimal investment, financing, and production policies by computer. Berlin: Springer, 1996.

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27

Dynamic models of the firm: Determning optimal investment, financing and production policies by computer. Berlin: Springer, 1996.

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28

Massachusetts. Metropolitan Area Planning Council. Pavement management forecasting model: A microcomputer program for Lotus 1-2-3. Boston, Mass: The Council, 1987.

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29

Binnewies, Rudi. The options course: A winning program for investors & traders. Burr Ridge, Ill: Irwin, 1995.

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30

Tennent, John. Guide to business modelling. 3rd ed. Hoboken, N.J: Wiley, 2011.

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31

Zhang, Ming, 1949 July 29-, ed. Artificial higher order neural networks for economics and business. Hershey: Information Science Reference, 2009.

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32

Preinitz, William. A Fast Track To Structured Finance Modeling, Monitoring and Valuation. New York: John Wiley & Sons, Ltd., 2009.

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33

P, Daley John, ed. Introduction to financial models for management and planning. Boca Raton, FL: CRC Press, 2009.

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34

1967-, Bapat Vivek, and Hall Bill 1944-, eds. Call center performance enhancement using simulation and modeling. West Lafayette, Ind: Ichor Business Books, 1999.

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35

Beltratti, Andrea. Neural networks for economic and financial modelling. London: International Thomson Computer Press, 1996.

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36

An analyst's guide to TRIM2: The transfer income model, version 2. Washington, D.C: Urban Institute Press, 1992.

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37

Computational auction mechanisms for restructured power industry operation. Boston: Kluwer, 1999.

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38

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

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39

World Bank. Infrisk: A Computer Simulation for Risk Management in Infrastructure Project Finance. World Bank Publications, 2000.

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40

Odden, Allan R., and Lawrence O. Picus. School Finance: A Policy Perspective. McGraw-Hill Humanities/Social Sciences/Languages, 2007.

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41

Odden, Allan, Allan R. Odden, Lawrence O. Picus, and Lawrence Picus. School Finance: A Policy Perspective. 3rd ed. McGraw-Hill Humanities/Social Sciences/Languages, 2003.

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42

Odden, Allan R., and Lawrence O. Picus. School Finance: A Policy Perspective. 4th ed. McGraw-Hill Humanities/Social Sciences/Languages, 2007.

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43

Odden, Allan R., and Lawrence O. Picus. School Finance: A Policy Perspective. McGraw-Hill Humanities/Social Sciences/Languages, 1999.

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44

Odden, Allan R., and Lawrence O. Picus. School Finance: A Policy Perspective. 2nd ed. McGraw-Hill Humanities/Social Sciences/Languages, 1999.

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45

Odden, Allan, Allan R. Odden, Lawrence O. Picus, and Lawrence Picus. School Finance: A Policy Perspective. McGraw-Hill Humanities/Social Sciences/Languages, 2003.

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46

Odden, Allan. School Finance: A Policy Perspective. McGraw-Hill Education, 2019.

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47

Davison, Matt. Quantitative Finance: A Simulation-Based Introduction Using Excel. Taylor & Francis Group, 2014.

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48

Davison, Matt. Quantitative Finance: A Simulation-Based Introduction Using Excel. Taylor & Francis Group, 2014.

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49

QUANTITATIVE FINANCE: A SIMULATION-BASED INTRODUCTION USING EXCEL. CRC PRESS, 2014.

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50

Davison, Matt. Quantitative Finance: A Simulation-Based Introduction Using Excel. Taylor & Francis Group, 2014.

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