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Books on the topic 'Financial Prediction'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Zirilli, Joseph S. Financial prediction using neural networks. International Thomson Computer Press, 1997.

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2

McGrath, M. Neural networks for financial performance prediction. University CollegeDublin, 1995.

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3

Ramaswamy, Srichander. One-step prediction of financial time series. Bank for International Settlements, Monetary and Economic Dept., 1998.

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4

Yadav, R. A. Financial ratios and the prediction of corporate failure. Concept Pub. Co., 1986.

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5

Punsalan, Romeleo N. Bankruptcy prediction in the construction industry: Financial ratio analysis. Available from the National Technical Information Service, 1989.

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6

Moses, O. Douglas. Analysts earnings forecasts: An alternative data source for failure prediction. Naval Postgraduate School, 1986.

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7

Lin, Feng Yu. A data mining approach to the prediction of financial distress. The Author], 2004.

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8

Kasanen, Eero. The prediction of international accounting standards profits from the financial statements of Finnish firms. European Institute for Advanced Studies in Management, 1991.

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9

Munir, Qaiser. Handbook of research on financial and banking crisis prediction through early warning systems. Business Science Reference, 2016.

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10

1979-, Hasanhodzic Jasmina, ed. The evolution of technical analysis: Financial prediction from Babylonian tablets to Bloomberg terminals. John Wiley & Sons, 2010.

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11

Steele, P. The prediction of small company failure using financial statement analysis: The development of an empiricalmodel. University of Newcastle upon Tyne, 1985.

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12

Steele, P. The prediction of small company failure using financial statement analysis: The development of an empiricalmodel. University of Newcastle upon Tyne, Centre for Urban and Regional Development Studies, 1985.

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13

Berg, Andrew. Are currency crises predictable?: A test. International Monetary Fund, Research Department, 1998.

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14

Steele, Patrick. The prediction of small company failure using financial statement analysis: The development of an empirical model. University of Newcastle upon Tyne, Centre for Urban and Regional Development Studies, 1985.

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15

Pasiouras, Fotios. Application of quantitative techniques for the prediction of bank acquisition targets. World Scientific, 2005.

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16

Manasse, Paolo. Predicting sovereign debt crises. International Monetary Fund, Fiscal Affairs Department, 2003.

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17

United States. National Aeronautics and Space Administration., ed. Program to develop a performance and heat load prediction system for multistate turbines: Forty-fourth technical progress narrative and financial management report for the period January 12 to January 31, 1994. United Technologies, Pratt & Whitney, 1994.

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18

Deep, Kusum, Madhu Jain, and Said Salhi, eds. Logistics, Supply Chain and Financial Predictive Analytics. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-0872-7.

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19

Hunniford, Alison Lorraine. Predicting the financial vulnerability of UK charities. The Author), 2003.

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20

Kumar, Manmohan S. Predicting emerging market currency crashes. International Monetary Fund, Research Department, 2002.

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21

Estrella, Arturo. Predicting U.S. recessions: Financial variables as leading indicators. National Bureau of Economic Research, 1995.

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22

Estrella, Arturo. Predicting U.S. recessions: Financial variables as leading indicators. Public Information Dept., Federal Reserve Bank of New York, 1996.

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23

Moses, Douglas O. Predicting contractor financial stability: New insight for source selection. Naval Postgraduate School, 1986.

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24

Webb, Paul Bruce. Financial strength as a predictor of pricing strategy. Naval Postgraduate School, 1987.

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25

Cappo, Joe. Future scope: Success strategies for the 1990s & beyond. Longman Financial Services Pub., 1990.

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26

Atta-Mensah, Joseph. Predicting Canadian recessions using financial variables: A probit approach. Bank of Canada, 1998.

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27

Tauchen, George. Realized jumps on financial markets and predicting credit spreads. Federal Reserve Board, 2006.

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28

Reilly, Frank K. The predictive ability of alternative parts of interim financial statements. Lancashire Polytechnic, 1985.

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29

Shadbolt, Jimmy. Neural Networks and the Financial Markets: Predicting, Combining and Portfolio Optimisation. Springer London, 2002.

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30

Kolpakov, Vasiliy. Economic and mathematical and econometric modeling: Computer workshop. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/24417.

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The textbook presents mathematical research methods and models of economic objects and processes designed for the analysis and prediction of economic factors and develop control solutions as in the deterministic conditions, and in conditions of some uncertainty, and dynamics. Each Chapter of the book consists of a theoretical framework, discussed in detail several examples and tasks for independent work. As workbench simulation uses standard office the program Excel and Mathcad. Tutorial focused on independent performance of students individual tasks on disciplines "Economic-mathematical metho

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31

1937-, Goldman Robert, ed. Predicting successful hospital mergers and acquisitions: A financial and marketing analytical tool. Haworth Press, 1997.

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32

Kazakova, Nataliya. Financial security of the company. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1908969.

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The textbook provides theoretical and practical training of business analysts on the financial security of companies. Considers the regulatory legal and methodological basis for the diagnosis of bankruptcy of organizations, as well as corporate fraud as a type of economic crimes; analytical tools for assessing the level of financial security based on a risk-oriented approach, the basics of building an internal financial security control system, including monitoring of the company's business processes affecting its financial security, as well as methods for assessing the risks of corporate frau

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33

Financial prediction using neural networks. International Thomson Computer Press, 1996.

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34

Financial Statement Analysis And The Prediction Of Financial Distress. Now Publishers, 2011.

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35

Zemke, Stefan. Data mining for prediction: Financial series case. 2003.

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36

Narine, Lutchmie. Prediction of the financial performance of Ontario hospitals. 1993.

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37

Bi, Keqian. Bankruptcy studies: Empirical works on prediction and financial markets. 1989.

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38

Kliestik, Tomás, Jana Kliestiková, Mária Kovácová, Lucia Svábová, and Katarína Valásková. Prediction of Financial Health of Business Entities in Transition Economies. Romanian Institute of Orthodox Theology and Spirituality, 2018.

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39

Statistically Sound Indicators For Financial Market Prediction: Algorithms in C++. Independently published, 2019.

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40

Ascher, Ivan. Portfolio Society: On the Capitalist Mode of Prediction. Zone Books, 2016.

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41

Portfolio Society: On the Capitalist Mode of Prediction. Zone Books, 2016.

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42

Ascher, Ivan. Portfolio Society: On the Capitalist Mode of Prediction. Zone Books, 2016.

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43

Ascher, Ivan. Portfolio Society: On the Capitalist Mode of Prediction. Zone Books, 2016.

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44

Lo, Andrew W., and Jasmina Hasanhodzic. Evolution of Technical Analysis: Financial Prediction from Babylonian Tablets to Bloomberg Terminals. Wiley & Sons, Incorporated, John, 2011.

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45

Lo, Andrew W., and Jasmina Hasanhodzic. Evolution of Technical Analysis: Financial Prediction from Babylonian Tablets to Bloomberg Terminals. Wiley & Sons, Incorporated, John, 2010.

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46

Lo, Andrew W., and Jasmina Hasanhodzic. Evolution of Technical Analysis: Financial Prediction from Babylonian Tablets to Bloomberg Terminals. Wiley & Sons, Incorporated, John, 2010.

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47

Lo, Andrew W., and Jasmina Hasanhodzic. Evolution of Technical Analysis: Financial Prediction from Babylonian Tablets to Bloomberg Terminals. Wiley & Sons, Incorporated, John, 2010.

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48

Ghosh, Dilip K., and Mohamed Ariff, eds. Regional Financial Markets. www.praeger.com, 2004. http://dx.doi.org/10.5040/9798216006602.

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Top financial scholars from around the world analyze regional economic issues in light of the recent Asian financial crisis. As a result of that crisis, and the ensuing reforms, corporations, governments, individual investors have pursued a variety of strategies to cope with the fast-changing economic situation. Each chapter treats a separate issue and offers policy recommendations. Among the theoretical and empirical analyses collected here are those relating to nonperforming loans, economic restructuring, bank forecasting, prediction of corporate failure, Islamic banking issues, new measurem

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49

The Use of Financial Scoring Models for the Prediction of Business Failure: Implications for Department of Defense Financial Analysis. Storming Media, 1996.

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50

Application of quantitative techniques for the prediction of bank acquisition targets. World Scientific, 2006.

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