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Books on the topic 'Stock Prediction'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

I, Ellison George, ed. Stock returns cyclicity, prediction and economic consequences. Nova Science Publishers, 2009.

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2

I, Ellison George, ed. Stock returns cyclicity, prediction and economic consequences. Nova Science Publishers, 2009.

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3

J, Millard Brian. Channel analysis: The key to share price prediction. 2nd ed. J. Wiley, 1997.

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4

Goval, Amit. A comprehensive look at the empirical performance of equity premium prediction. National Bureau of Economic Research, 2004.

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5

Lin, Jie-Shin. The top management changes of construction firms: Stock price reaction and possibility of prediction. UMIST, 1996.

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6

McMillan, David G. Predicting Stock Returns. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69008-7.

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7

Hjalmarsson, Erik. Predicting global stock returns. Federal Reserve Board, 2008.

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8

Baker, Malcolm. Pseudo market timing and predictive regressions. National Bureau of Economic Research, 2004.

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9

Baker, Malcolm. Pseudo market timing and predictive regressions. National Bureau of Economic Research, 2004.

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10

Goyal, Amit. Predicting the equity premium with dividend ratios. National Bureau of Economic Research, 2002.

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11

International, Symposium on Stocks Assessment and Yield Prediction (1985 Quetico Centre Ontario). International Symposium on Stocks Assessment and Yield Prediction. Department of Fisheries and Oceans, 1987.

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12

International Symposium on Stocks Assessment and Yield Prediction (1985 Quetico Centre, Ont.). International Symposium on Stocks Assessment and Yield Prediction [proceedings]. Fisheries and Oceans, Information and Publications Branch, 1987.

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13

Nofer, Michael. The Value of Social Media for Predicting Stock Returns. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-09508-6.

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14

Pesaran, M. Hashem. A recursive modelling approach to predicting UK stock returns. London School of Economics, Financial Markets Group, 1999.

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15

Gomes, Manuel do Carmo. Predictions under uncertainty: Fish assemblages and food webs on the Grand Banks of Newfoundland. Institute of Social and Economic Research, Memorial University of Newfoundland, 1993.

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16

Stevens, Leigh. Essential technical analysis: Tools and techniques to spot market trends. Wiley, 2002.

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17

Hjalmarsson, Erik. Should we expect significant out-of-sample results when predicting stock returns? Federal Reserve Board, 2006.

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18

J, Niccolucci Michael, Williams Daniel R, and Intermountain Research Station (Ogden, Utah), eds. Hikers and recreational stock users: Predicting and managing recreation conflicts in three wildernesses. U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1993.

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19

Watson, Alan E. Hikers and recreational stock users: Predicting and managing recreation conflicts in three wildernesses. U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1993.

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20

Watson, Alan E. Hikers and recreational stock users: Predicting and managing recreation conflicts in three wildernesses. U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1993.

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21

Farrar, Robert M. Predicting stand and stock tables from a spacing study in naturally regenerated longleaf pine. U.S. Dept. of Agriculture, Foerst Service, Southern Forest Experiment Station, 1985.

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22

Merrick, John J. Early unwindings and rollovers of stock index futures arbitrage programs: Analysis and implications for predicting expiration day effects. Federal Reserve Bank of Philadelphia, 1987.

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23

O'Shaughnessy, James P. Predicting the Markets of Tomorrow. Penguin Group USA, Inc., 2008.

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24

Campbell, John Y. Predicting the equity premium out of sample: Can anything beat the historical average? National Bureau of Economic Research, 2005.

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25

Jang, Woan-yuh. Empirical tests of the predictive ability of asset pricing models and of stock market overreaction in the U.K. typescript, 1996.

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26

United States. National Aeronautics and Space Administration., ed. Effects of the cooling system parameters on heat transfer and performance of the PAFC stack during transient operation. Cleveland State University, 1992.

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27

United States. National Aeronautics and Space Administration., ed. Effects of the cooling system parameters on heat transfer and performance of the PAFC stack during transient operation. Cleveland State University, 1992.

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28

Greenblatt, Jeff. Breakthrough strategies for predicting any market: Charting Elliot [sic] wave, Lucas, Fibonacci, and time for profit. Marketplace Books Inc., 2007.

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29

Shaotran, Ethan, and Mark Munoz. Stock Prediction with Deep Learning. Independently Published, 2018.

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30

Prediction Model for Stock Excess Returns on Ho Chi Minh City Stock Exchange. GRIN Verlag GmbH, 2019.

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31

Bosco, Joish, and Fateh Khan. Stock Market Prediction and Efficiency Analysis Using Recurrent Neural Network. GRIN Verlag GmbH, 2018.

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32

Millard On Channel Analysis The Key To Share Price Prediction. Harriman House, 2009.

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33

Horn, Christian, Marcel Bogers, and Alexander Brem*. Prediction Markets for Crowdsourcing. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198816225.003.0012.

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Crowdsourcing is an increasingly important phenomenon that is fundamentally changing how companies create and capture value. There are still important questions with respect to how crowdsourcing works and can be applied in practice, especially in business practice. In this chapter, we focus on prediction markets as a mechanism and tool to tap into a crowd in the early stages of an innovation process. The act of opening up to external knowledge sources is also in line with the growing interest in open innovation. One example of a prediction market, a virtual stock market, is applied to open inn

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34

Divining the Dow: 100 of the world's most widely followed stock market prediction systems. 1993.

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35

Kumar. Some Aspects of Mining Technologies for Prediction with Study Focussed on Stock Market Data. Infotech Publishers, 2022.

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36

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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37

Gao, Johnson. Prediction of Stocks with Gao's Equation. Lulu.com, 2004.

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38

McMillan, David G. Predicting Stock Returns: Implications for Asset Pricing. Palgrave Pivot, 2018.

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39

Tjung, Luna. Art and Science of Predicting Stock Prices. Lulu Press, Inc., 2010.

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40

McMillan, David. Predicting Stock Returns: Implications for Asset Pricing. Springer International Publishing AG, 2017.

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41

Stick-Slip: A novel. Createspace Independent Publishing Platform, 2014.

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42

Deep Learning Tools for Predicting Stock Market Movements. Wiley & Sons, Incorporated, John, 2024.

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43

Deep Learning Tools for Predicting Stock Market Movements. Wiley & Sons, Incorporated, John, 2024.

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44

Deep Learning Tools for Predicting Stock Market Movements. Wiley & Sons, Limited, John, 2024.

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45

Deep Learning Tools for Predicting Stock Market Movements. Wiley & Sons, Limited, John, 2024.

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46

Saini, Sneh. Predicting Trends in Stock Market Using Artificial Neural Networks. Mayflower Books Ltd, 2022.

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47

Cawthorn, Miles David. Examination and analysis of the major determinants of the world sugar stock level in conjunction with the fundamental market variables of world sugar in order to consider likely market outcomes for 1992 three year prediction. WGIHE, 1991.

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48

World Stock Exchanges and after Brexit and Coronavirus ? Hottest News Predictions 2020 Clairvoyant Predictions: Prince Harry ,London Stock Exchange Group , Euronext, NYSE, Nasdaq, Hong Kong Exchange , Moscow Exchange, Shanghai Stock Exchange , Eastmed. Independently Published, 2020.

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49

World Stock Exchanges and after Brexit and Coronavirus ? Hottest News Predictions 2020 Clairvoyant Predictions: Prince Harry ,London Stock Exchange Group , Euronext, NYSE, Nasdaq, Hong Kong Exchange , Moscow Exchange, Shanghai Stock Exchange , Eastmed. Independently Published, 2020.

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50

(Editor), John C. Slauson, and Steven B. Achelis (Editor), eds. Trading the Regression Channel: Defining and Predicting Stock Price Trends. Equis International, Incorporated, 1996.

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