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1

Kelly, Morgan. Do noise traders influence stock prices? University College Dublin, Department of Economics, 1996.

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2

Grinblatt, Mark. What do we really know about the cross-sectional relation between past and expected returns? National Bureau of Economic Research, 2002.

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3

Campbell, John Y. Efficient tests of stock return predictability. National Bureau of Economic Research, 2003.

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4

Ang, Andrew. Stock return predictability: Is it there? National Bureau of Economic Research, 2001.

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5

Kim, Myung Jig. Mean reversion in stock prices?: A reappraisal of the empirical evidence. National Bureau of Economic Research, 1988.

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6

Raaij, Gabriela De. Evaluating density forecasts with an application to stock market returns. Oesterreichische Nationalbank, 2002.

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7

Lo, Andrew W. Maximizing predictability in the stock and bond markets. Sloan School of Management, Laboratory for Financial Engineering, Massachusetts Institute of Technology, 1996.

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8

Lo, Andrew W. Maximizing predictability in the stock and bond markets. National Bureau of Economic Research, 1995.

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9

Vuolteenaho, Tuomo. What drives firm-level stock returns? National Bureau of Economic Research, 2001.

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10

Lo, Andrew W. Asset prices and trading volume under fixed transaction costs. National Bureau of Economic Research, 2001.

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11

Raunig, Burkhard. Testing for longer horizon predictability of return volatility with an application to the German DAX. Oesterreichische Nationalbank, 2003.

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12

Zhongguo zheng quan shi chang liu dong xing yi jia ji qi wen ding xing he xiao ying ji liang yan jiu. Zhongguo she hui ke xue chu ban she, 2011.

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13

Donaldson, Glen. Volatility forecasts, trading volume, and the ARCH versus option-implied volatility trade-off. Federal Reserve Bank of Atlanta, 2004.

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14

Chen, Joseph. Breadth of ownership and stock returns. National Bureau of Economic Research, 2001.

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15

Cochrane, John H. Where is the market going?: Uncertain facts and novel theories. National Bureau of Economic Research, 1997.

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16

Estimating and forecasting ARCH models using G@RCH 5. Timberlake Consultants Ltd., 2007.

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17

Ferson, Wayne E. Weak and semi-strong form stock return predictability revisited. National Bureau of Economic Research, 2005.

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18

Ferson, Wayne E. Weak and semi-strong form stock return predictability, revisited. National Bureau of Economic Research, 2004.

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19

Ferson, Wayne E. Weak and semi-strong form stock return predictability, revisited. National Bureau of Economic Research, 2004.

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20

Jung, Jeeman. One simple test of Samuelson's dictum for the stock market. National Bureau of Economic Research, 2002.

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21

Flood, Robert P. Testable implications of indeterminacies in models with rational expectations. National Bureau of Economic Research, 1989.

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22

Engle, R. F. Theoretical and empirical properties of Dynamic Conditional Correlation Multivariate GARCH. National Bureau of Economic Research, 2001.

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23

Hodrick, Robert J. An international dynamic asset pricing model. National Bureau of Economic Research, 1999.

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24

Greenwood, Jeremy. The IT revolution and the stock market. National Bureau of Economic Research, 1999.

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25

Chan, Yeung Lewis. Catching up with the Joneses: Heterogeneous preferences and the dynamics of asset prices. National Bureau of Economic Research, 2001.

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26

Durlauf, Steven N. Bounds on the variances of specification errors in models with expectations. National Bureau of Economic Research, 1989.

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27

Vigna, Stefano Della. Attention, demographics, and the stock market. National Bureau of Economic Research, 2005.

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28

Vigna, Stefano Della. Attention, demographics, and the stock market. National Bureau of Economic Research, 2005.

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29

Campbell, John Y. Asset pricing at the millennium. National Bureau of Economic Research, 2000.

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30

Andersen, Torben G. An empirical investigation of continuous-time equity return models. National Bureau of Economic Research, 2001.

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31

Engle, R. F. CAViaR: Conditional value at risk by quantile regression. National Bureau of Economic Research, 1999.

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32

Geert, Bekaert. Expectations hypotheses tests. National Bureau of Economic Research, 2000.

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33

MacKinlay, Archie Craig. Asset pricing models: Implications for expected returns and portfolio selection. National Bureau of Economic Research, 1999.

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34

Engle, R. F. Measuring, forecasting, and explaining time varying liquidity in the stock market. National Bureau of Economic Research, 1997.

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35

Lewellen, Jonathan. Estimation risk, market efficiency, and the predictability of returns. National Bureau of Economic Research, 2000.

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36

Campbell, John Y. Measuring the persistence of expected returns. National Bureau of Economic Research, 1990.

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37

Gompers, Paul A. Institutional investors and equity prices. National Bureau of Economic Research, 1998.

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38

Tkacz, Greg. Linear and threshold forecasts of output and inflation with stock and housing prices. Bank of Canada, 2006.

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39

Chua, Jess H. Gains from stock-market timing. Salomon Brothers Center for the Study of Financial Institutions, Graduate School of Business Administration, New York University, 1986.

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40

Chua, Jess H. Gains from stock market timing. Salomon Brothers Center for the Study of Financial Institutions, 1986.

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41

Chua, Jess H. Gains from stock-market timing. Salomon Brothers Center for the Study of Financial Institutions, Graduate School of Business Administration, New York University, 1986.

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42

S, Woodward Richard, and New York University, eds. Gains from stock market timing. Salomon Brothers Center for the Study of Financial Institutions, Graduate School of Business Administration, New York University, 1986.

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43

Noh, Jaesun. A test of efficiency for the S&P 500 index option market using variance forecasts. National Bureau of Economic Research, 1993.

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44

Hong, Harrison G. A unified theory of underreaction, momentum trading and overreaction in asset markets. National Bureau of Economic Research, 1997.

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45

Yale, Hirsch, and ebrary Inc, eds. Stock trader's almanac. John Wiley & Sons, 2010.

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46

Schaap, Charles B. ADXcellence: Power trend strategies. StockMarketStore, 2006.

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47

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

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48

Kross, William. Earnings expectations, the analysts' information advantage. Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1987.

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49

Downing, Chris. Getting bad news out early: Does it really help stock prices? Federal Reserve Board, 2003.

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50

Trend qualification and trading: Techniques to identify the best trends to trade. John Wiley & Sons, Inc., 2011.

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