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Books on the topic 'Applied mathematics|Finance'

Author: Grafiati

Published: 9 July 2021

Last updated: 6 February 2022

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1

Bernard, Lapeyre, ed. Introduction to stochastic calculus applied to finance. 2nd ed. Boca Raton: Chapman & Hall/CRC, 2008.

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2

Introduction to stochastic calculus applied to finance. London: Chapman & Hall, 1996.

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3

Goodman, Victor. The mathematics of finance: Modeling and hedging. Australia: Brooks/Cole, 2001.

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4

The mathematics of finance: Modeling and hedging. Australia: Brooks/Cole, 2001.

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5

1932-, Stampfli Joseph G., ed. The mathematics of finance: Modeling and hedging. Providence, R.I: American Mathematical Society, 2009.

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6

H, Rader William, ed. Applied finance and economic analysis for scientists and engineers. New York: Van Nostrand Reinhold Co., 1986.

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7

Tobias, Paul A. Applied reliability. 3rd ed. Boca Raton: Chapman and Hall/CRC, 2011.

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8

Stochastic processes and applications to mathematical finance: Proceedings of the Ritsumeikan International Symposium, Kusatsu, Shiga, Japan, 5-9 March 2003. Singapore: World Scientific, 2005.

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9

Symposium, Ritsumeikan International. Stochastic processes and applications to mathematical finance: Proceedings of the 5th Ritsumeikan International Symposium, Ritsumeikan University, Japan, 3-6 March 2005. Singapore: World Scientific, 2007.

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10

Bingham, N. H. Risk-neutral valuation: Pricing and hedging of financial derivatives. London: Springer, 1998.

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11

Jeanblanc, M. Mathematical Methods for Financial Markets, ed. by M. Jeanblanc. s.l: Springer, 2005.

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12

Andrea, Roncoroni, ed. Implementing models in quantitative finance: Methods and cases. Berlin: Springer, 2008.

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13

Nicholas, Rau, ed. Mathematics for economists: An introductory textbook. 2nd ed. Manchester, UK: Manchester University Press, 2007.

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14

1942-, Young John C., ed. Multivariate statistical process control with industrial applications. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2002.

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15

J, Cassidy Henry, ed. Using econometrics: A practical guide. 2nd ed. New York: HarperCollins, 1992.

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16

J, Cassidy Henry, ed. Using econometrics: A practical guide. Boston: Little, Brown, 1987.

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17

Using econometrics: A practical guide. 4th ed. Boston, Mass: Addison Wesley, 2001.

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18

Studenmund, A. H. Using econometrics: A practical guide. 3rd ed. Reading, Mass: Addison-Wesley, 1997.

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19

A, Bulavskiĭ V., and Kalashnikov V. V, eds. Complementarity, equilibrium, efficiency, and economics. Dordrecht: Kluwer Academic Publishers, 2002.

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20

Isac, George. Complementarity, equilibrium, efficiency, and economics. Dordrecht: Kluwer Academic Publishers, 2002.

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21

Janssen, Jacques. Applied diffusion processes from engineering to finance. Londo: ISTE, 2013.

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22

Burmeister, Edwin. Mathematical theories of economic growth. Aldershot: Gregg Revivals, 1993.

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23

L, Flood Robert, ed. The informed student guide to management science. London: Thomson Learning, 2002.

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24

O, Wang Walter, and Materowski April Allen, eds. Applied calculus for business, economics, and finance. Boston, MA: Pearson Custom Pub., 2007.

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25

L, Winston Wayne, and Zappe, Christopher J. (Christopher James), 1961-, eds. Data analysis & decision making with Microsoft Excel. 3rd ed. Mason, Ohio: South-Western/Cengage Learning, 2009.

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26

L, Winston Wayne, Zappe Christopher J. 1961-, Brodie Mark, and Kolesar Peter, eds. Data analysis & decision making with Microsoft Excel. 2nd ed. Belmont, Calif: Duxbury, 2003.

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27

L, Winston Wayne, and Zappe Christopher J. 1961-, eds. Data analysis & decision making with Microsoft Excel. 3rd ed. Mason, OH: Thomson/South-Western, 2006.

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28

L, Winston Wayne, and Zappe Christopher J. 1961-, eds. Data analysis and decision making with Microsoft Excel. Pacific Grove, CA: Duxbury Press, 2002.

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29

L, Winston Wayne, and Zappe Christopher J. 1961-, eds. Data analysis and decision making with Microsoft Excel. Pacific Grove, CA: Duxbury Press, 1999.

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30

M, Aparicio Felipe, ed. Optimal control of credit risk. Boston: Kluwer Academic Publishers, 2001.

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31

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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32

Milan, Vlach, ed. Generalized concavity in fuzzy optimization and decision analysis. Boston: Kluwer Academic Publishers, 2002.

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33

Roger, Slater, ed. Quantitative methods for business decisions. New York: Van Nostrand Reinhold Co., 1985.

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34

Curwin, Jon. Quantitative methods for business decisions. 2nd ed. London: Chapman and Hall, 1990.

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35

Curwin, Jon. Quantitative methods for business decisions. 4th ed. London: International Thomson Business Press, 1996.

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36

Roger, Slater, and Hart Mike, eds. Quantitative methods for business decisions. 3rd ed. London: Chapman & Hall, 1991.

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37

Roger, Slater, ed. Quantitative methods for business decisions. 5th ed. London: Thomson Learning, 2002.

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38

Capasso, V. An introduction to continuous-time stochastic processes: Theory, models, and applications to finance, biology, and medicine. Boston: Birkhäuser, 2005.

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39

Markowitz, H. Mean-variance analysis in portfolio choice and capital markets. New Hope: Frank J. Fabozzi Associates, 1987.

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40

Markowitz, H. Mean-variance analysis in portfolio choice and capital markets. Oxford: Blackwell, 1990.

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41

Markowitz, H. Mean-variance analysis in portfolio choice and capital markets. Oxford, OX, UK: B. Blackwell, 1987.

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42

Wolfgang, Härdle, and Hafner Christian, eds. Statistics of financial markets: An introduction. Berlin: Springer-Verlag, 2004.

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43

Franke, Jürgen. Statistics of financial markets: An introduction. 2nd ed. Berlin: Springer-Verlag, 2008.

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44

Wolfgang, Härdle, and Hafner Christian, eds. Statistics of financial markets: An introduction. 2nd ed. Berlin: Springer-Verlag, 2008.

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45

Johnson, Ramon E., and Robert A. Lutz. Applied Mathematics of Finance. 3rd ed. Kendall/Hunt Publishing Company, 1999.

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46

Janssen, Jacques, Raimondo Manca, and Oronzio Manca. Applied Diffusion Processes from Engineering to Finance. Wiley & Sons, Incorporated, John, 2013.

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47

Janssen, Jacques, Raimondo Manca, and Oronzio Manca. Applied Diffusion Processes from Engineering to Finance. Wiley & Sons, Incorporated, John, 2013.

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48

(Editor), Michael C. Fu, Robert A. Jarrow (Editor), Ju-Yi J. Yen (Editor), and Robert J. Elliott (Editor), eds. Advances in Mathematical Finance (Applied and Numerical Harmonic Analysis). Birkhäuser Boston, 2007.

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49

Ashlock. Mathematics Connections Integrated And Applied. 3rd ed. McGraw-Hill/Glencoe, 1996.

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50

Ashlock. Mathematics Connections Integrated And Applied. McGraw-Hill/Glencoe, 1996.

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