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The Dog That Did Not Bark: A Defense of Return Predictability

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Cited by:

  1. Martin Lettau & Stijn Van Nieuwerburgh, 2008. "Reconciling the Return Predictability Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1607-1652, July.
  2. Croce, M.M. & Nguyen, Thien T. & Raymond, S. & Schmid, L., 2019. "Government debt and the returns to innovation," Journal of Financial Economics, Elsevier, vol. 132(3), pages 205-225.
  3. Rhys Bidder & Ian Dew-Becker, 2016. "Long-Run Risk Is the Worst-Case Scenario," American Economic Review, American Economic Association, vol. 106(9), pages 2494-2527, September.
  4. Paulo Maio, 2014. "Another Look at the Stock Return Response to Monetary Policy Actions," Review of Finance, European Finance Association, vol. 18(1), pages 321-371.
  5. Mario Forni & Luca Gambetti & Marco Lippi & Luca Sala, 2017. "Noise Bubbles," Economic Journal, Royal Economic Society, vol. 127(604), pages 1940-1976, September.
  6. Amélie Charles & Olivier Darné & Jae H. Kim, 2022. "Stock return predictability: Evaluation based on interval forecasts," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 363-385, April.
  7. Christian Bach & Peter O. Christensen, 2016. "Consumption-based equity valuation," Review of Accounting Studies, Springer, vol. 21(4), pages 1149-1202, December.
  8. Liya Chu & Xue-Zhong He & Kai Li & Jun Tu, 2022. "Investor Sentiment and Paradigm Shifts in Equity Return Forecasting," Management Science, INFORMS, vol. 68(6), pages 4301-4325, June.
  9. Londoño Yarce, Juan Miguel & Regúlez Castillo, Marta & Vázquez Pérez, Jesús, 2014. "An Alternative View of the US Price-Dividend Ratio Dynamics," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
  10. Pham, Quynh Thi Thuy, 2021. "Stock Return Predictability: Evidence Across US Industries," Finance Research Letters, Elsevier, vol. 38(C).
  11. Patrick Hable & Patrick Launhardt, 2020. "Aggregate insider trading and the prediction of corporate credit spread changes," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(1), pages 1-31, March.
  12. Li, Xiyang & Chen, Xiaoyue & Li, Bin & Singh, Tarlok & Shi, Kan, 2022. "Predictability of stock market returns: New evidence from developed and developing countries," Global Finance Journal, Elsevier, vol. 54(C).
  13. Li, Jiahan & Tsiakas, Ilias, 2017. "Equity premium prediction: The role of economic and statistical constraints," Journal of Financial Markets, Elsevier, vol. 36(C), pages 56-75.
  14. Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 235-256.
  15. Kevin J. Lansing, 2011. "Asset pricing with concentrated ownership of capital," Working Paper 2011/18, Norges Bank.
  16. Schrimpf, Andreas, 2010. "International stock return predictability under model uncertainty," Journal of International Money and Finance, Elsevier, vol. 29(7), pages 1256-1282, November.
  17. Gelain, Paolo & Lansing, Kevin J., 2014. "House prices, expectations, and time-varying fundamentals," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 3-25.
  18. Anisha Ghosh & George M. Constantinides, 2010. "The Predictability of Returns with Regime Shifts in Consumption and Dividend Growth," NBER Working Papers 16183, National Bureau of Economic Research, Inc.
  19. Dr. Thomas Nitschka, 2014. "The Good? The Bad? The Ugly? Which news drive (co)variation in Swiss and US bond and stock excess returns?," Working Papers 2014-01, Swiss National Bank.
  20. Lansing, Kevin J. & LeRoy, Stephen F. & Ma, Jun, 2022. "Examining the sources of excess return predictability: Stochastic volatility or market inefficiency?," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 50-72.
  21. David C. Ling & Joseph T.L. Ooi & Thao T.T. Le, 2015. "Explaining House Price Dynamics: Isolating the Role of Nonfundamentals," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 87-125, March.
  22. Goodness C. Aye & Frederick W. Deale & Rangan Gupta, 2016. "Does Debt Ceiling and Government Shutdown Help in Forecasting the US Equity Risk Premium?," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 63(3), pages 273-291.
  23. François Gourio, 2013. "Credit Risk and Disaster Risk," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(3), pages 1-34, July.
  24. Davide Pettenuzzo & Francesco Ravazzolo, 2016. "Optimal Portfolio Choice Under Decision‐Based Model Combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1312-1332, November.
  25. Jian Chen & Fuwei Jiang & Guoshi Tong, 2017. "Economic policy uncertainty in China and stock market expected returns," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(5), pages 1265-1286, December.
  26. John Y. Campbell & Stefano Giglio & Christopher Polk, 2013. "Hard Times," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 3(1), pages 95-132.
    • John Y. Campbell & Stefano Giglio & Christopher Polk, 2010. "Hard Times," NBER Working Papers 16222, National Bureau of Economic Research, Inc.
    • Campbell, John Y. & Giglio, Stefano & Polk, Christopher, 2013. "Hard Times," Scholarly Articles 12172786, Harvard University Department of Economics.
  27. John Cochrane, 2022. "The fiscal root of inflation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 22-40, July.
  28. Faria, Gonçalo & Verona, Fabio, 2018. "Forecasting stock market returns by summing the frequency-decomposed parts," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 228-242.
  29. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Risks, MDPI, vol. 6(4), pages 1-18, September.
  30. Ma, Feng & Wang, Ruoxin & Lu, Xinjie & Wahab, M.I.M., 2021. "A comprehensive look at stock return predictability by oil prices using economic constraint approaches," International Review of Financial Analysis, Elsevier, vol. 78(C).
  31. Yin, Libo & Nie, Jing, 2021. "Adjusted dividend-price ratios and stock return predictability: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 73(C).
  32. Gabriel Vasco J. & Alexandre Fernando & Bação Pedro, 2008. "The Consumption-Wealth Ratio under Asymmetric Adjustment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(4), pages 1-32, December.
  33. Kalotay, Egon & Gray, Philip & Sin, Samantha, 2007. "Consumer expectations and short-horizon return predictability," Journal of Banking & Finance, Elsevier, vol. 31(10), pages 3102-3124, October.
  34. Faria, Gonçalo & Verona, Fabio, 2020. "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, vol. 50(C).
  35. Catherine Georgiou, 2022. "Modifications on Book-Valued Ratios," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 15(3), pages 24-37, December.
  36. Avdis, Efstathios & Wachter, Jessica A., 2017. "Maximum likelihood estimation of the equity premium," Journal of Financial Economics, Elsevier, vol. 125(3), pages 589-609.
  37. Engsted, Tom & Hviid, Simon J. & Pedersen, Thomas Q., 2016. "Explosive bubbles in house prices? Evidence from the OECD countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 14-25.
  38. Palani-Rajan Kadapakkam & Timothy Krause & Yiuman Tse, 2015. "Exchange traded funds, size-based portfolios, and market efficiency," Review of Quantitative Finance and Accounting, Springer, vol. 45(1), pages 89-110, July.
  39. David G McMillan, 2011. "Does the BEYR help predict UK sector returns?," Journal of Asset Management, Palgrave Macmillan, vol. 12(2), pages 146-156, June.
  40. Tim Bollerslev & George Tauchen & Hao Zhou, 2009. "Expected Stock Returns and Variance Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 22(11), pages 4463-4492, November.
  41. Ricardo De la O & Sean Myers, 2018. "Subjective Cash Flows and Discount Rates," 2018 Meeting Papers 291, Society for Economic Dynamics.
  42. Christopher L. Culp & Yoshio Nozawa & Pietro Veronesi, 2014. "Option-Based Credit Spreads," NBER Working Papers 20776, National Bureau of Economic Research, Inc.
  43. Adrian, Tobias & Crump, Richard K. & Moench, Emanuel, 2015. "Regression-based estimation of dynamic asset pricing models," Journal of Financial Economics, Elsevier, vol. 118(2), pages 211-244.
  44. Pham, Quynh Thi Thuy & Rudolf, Markus, 2021. "Gold, platinum, and industry stock returns," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 252-266.
  45. John C. Williams, 2013. "Bubbles tomorrow and bubbles yesterday, but never bubbles today?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue sept23.
  46. Yaoting Lei & Ya Li & Jing Xu, 2020. "Two Birds, One Stone: Joint Timing of Returns and Capital Gains Taxes," Management Science, INFORMS, vol. 66(2), pages 823-843, February.
  47. João M. Sousa & Ricardo M. Sousa, 2019. "Asset Returns Under Model Uncertainty: Evidence from the Euro Area, the US and the UK," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 139-176, June.
  48. Ke-Li Xu & Junjie Guo, 2021. "A New Test for Multiple Predictive Regression," CAEPR Working Papers 2022-001 Classification-C, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
  49. Favero, Carlo A. & Gozluklu, Arie E. & Tamoni, Andrea, 2011. "Demographic Trends, the Dividend-Price Ratio, and the Predictability of Long-Run Stock Market Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(5), pages 1493-1520, October.
  50. de Oliveira Souza, Thiago, 2019. "Macro-finance and factor timing: Time-varying factor risk and price of risk premiums," Discussion Papers on Economics 7/2019, University of Southern Denmark, Department of Economics.
  51. Legendre, François & Togola, Djibril, 2016. "Explicit solutions to dynamic portfolio choice problems: A continuous-time detour," Economic Modelling, Elsevier, vol. 58(C), pages 627-641.
  52. Chen, Jian & Tang, Guohao & Yao, Jiaquan & Zhou, Guofu, 2023. "Employee sentiment and stock returns," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
  53. Engsted, Tom & Pedersen, Thomas Q. & Tanggaard, Carsten, 2012. "Pitfalls in VAR based return decompositions: A clarification," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1255-1265.
  54. Lettau, Martin & Wachter, Jessica A., 2011. "The term structures of equity and interest rates," Journal of Financial Economics, Elsevier, vol. 101(1), pages 90-113, July.
  55. Engsted, Tom & Pedersen, Thomas Q., 2010. "The dividend-price ratio does predict dividend growth: International evidence," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 585-605, September.
  56. Mathias S. Kruttli, 2016. "From Which Consumption-Based Asset Pricing Models Can Investors Profit? Evidence from Model-Based Priors," Finance and Economics Discussion Series 2016-027, Board of Governors of the Federal Reserve System (U.S.).
  57. Chava, Sudheer & Gallmeyer, Michael & Park, Heungju, 2015. "Credit conditions and stock return predictability," Journal of Monetary Economics, Elsevier, vol. 74(C), pages 117-132.
  58. Kuvshinov, Dmitry & Richter, Björn & Zimmermann, Kaspar, 2022. "The shifts and the shocks: bank risk, leverage, and the macroeconomy," Working Paper Series 2672, European Central Bank.
  59. Ishani Chaudhuri & Parthajit Kayal, 2022. "Predicting Power of Ticker Search Volume in Indian Stock Market," Working Papers 2022-214, Madras School of Economics,Chennai,India.
  60. Yi, Yongsheng & Ma, Feng & Zhang, Yaojie & Huang, Dengshi, 2019. "Forecasting stock returns with cycle-decomposed predictors," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 250-261.
  61. Tom Roberts, 2017. "A Counterfactual Valuation of the Stock Index as a Predictor of Crashes," Staff Working Papers 17-38, Bank of Canada.
  62. Maio, Paulo, 2013. "Return decomposition and the Intertemporal CAPM," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4958-4972.
  63. Roni Michaely & Stefano Rossi & Michael Weber & Michael Weber, 2017. "The Information Content of Dividends: Safer Profits, Not Higher Profits," CESifo Working Paper Series 6751, CESifo.
  64. Mikhail Chernov & Drew D. Creal, 2018. "Multihorizon Currency Returns and Purchasing Power Parity," NBER Working Papers 24563, National Bureau of Economic Research, Inc.
  65. Kohei Aono & Tokuo Iwaisako, 2010. "On the Predictability of Japanese Stock Returns Using Dividend Yield," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 17(2), pages 141-149, June.
  66. Leland E. Farmer & Lawrence Schmidt & Allan Timmermann, 2023. "Pockets of Predictability," Journal of Finance, American Finance Association, vol. 78(3), pages 1279-1341, June.
  67. Gupta, Rangan & Hammoudeh, Shawkat & Modise, Mampho P. & Nguyen, Duc Khuong, 2014. "Can economic uncertainty, financial stress and consumer sentiments predict U.S. equity premium?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 367-378.
  68. Chen, Juan & Ma, Feng & Qiu, Xuemei & Li, Tao, 2023. "The role of categorical EPU indices in predicting stock-market returns," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 365-378.
  69. Martin, Ian W.R. & Nagel, Stefan, 2022. "Market efficiency in the age of big data," Journal of Financial Economics, Elsevier, vol. 145(1), pages 154-177.
  70. Rashmi Chaudhary & Priti Bakhshi & Hemendra Gupta, 2020. "Volatility in International Stock Markets: An Empirical Study during COVID-19," JRFM, MDPI, vol. 13(9), pages 1-17, September.
  71. Davide Pettenuzzo & Riccardo Sabbatucci & Allan Timmermann, 2018. "High-frequency Cash Flow Dynamics," Working Papers 120, Brandeis University, Department of Economics and International Business School.
  72. Della Corte, Pasquale & Sarno, Lucio & Valente, Giorgio, 2010. "A century of equity premium predictability and the consumption-wealth ratio: An international perspective," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 313-331, June.
  73. Narayan, Paresh Kumar & Sharma, Susan Sunila & Thuraisamy, Kannan S., 2015. "Can governance quality predict stock market returns? New global evidence," Pacific-Basin Finance Journal, Elsevier, vol. 35(PA), pages 367-380.
  74. Chang, C-L. & Hsu, S.-H. & McAleer, M.J., 2018. "Asymmetric Risk Impacts of Chinese Tourists to Taiwan," Econometric Institute Research Papers EI2018-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  75. Chen, Jian & Jiang, Fuwei & Xue, Shuyu & Yao, Jiaquan, 2019. "The world predictive power of U.S. equity market skewness risk," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 210-227.
  76. Blanchard, Olivier & Collins, Christopher G. & Jahan-Parvar, Mohammad R. & Pellet, Thomas & Wilson, Beth Anne, 2018. "A year of rising dangerously? The U.S. stock market performance in the aftermath of the presidential election," Journal of Policy Modeling, Elsevier, vol. 40(3), pages 489-502.
  77. Rounaghi, Mohammad Mahdi & Nassir Zadeh, Farzaneh, 2016. "Investigation of market efficiency and Financial Stability between S&P 500 and London Stock Exchange: Monthly and yearly Forecasting of Time Series Stock Returns using ARMA model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 10-21.
  78. Daniel Mantilla-García & Vijay Vaidyanathan, 2017. "Predicting stock returns in the presence of uncertain structural changes and sample noise," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(3), pages 357-391, August.
  79. Andreas Neuhierl & Michael Weber & Michael Weber, 2016. "Monetary Policy and the Stock Market: Time-Series Evidence," CESifo Working Paper Series 6199, CESifo.
  80. Avino, Davide & Nneji, Ogonna, 2014. "Are CDS spreads predictable? An analysis of linear and non-linear forecasting models," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 262-274.
  81. Zhu, Min & Chen, Rui & Du, Ke & Wang, You-Gan, 2018. "Dividend growth and equity premium predictability," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 125-137.
  82. John R. Graham, 2022. "Presidential Address: Corporate Finance and Reality," Journal of Finance, American Finance Association, vol. 77(4), pages 1975-2049, August.
  83. Nieto, Belén & Rubio, Gonzalo, 2011. "The volatility of consumption-based stochastic discount factors and economic cycles," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2197-2216, September.
  84. Maio, Paulo, 2016. "Cross-sectional return dispersion and the equity premium," Journal of Financial Markets, Elsevier, vol. 29(C), pages 87-109.
  85. Cenedese, Gino & Mallucci, Enrico, 2016. "What moves international stock and bond markets?," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 94-113.
  86. Neuhierl, Andreas & Weber, Michael, 2019. "Monetary policy communication, policy slope, and the stock market," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 140-155.
  87. Moreira, Alan & Muir, Tyler, 2019. "Should Long-Term Investors Time Volatility?," Journal of Financial Economics, Elsevier, vol. 131(3), pages 507-527.
  88. Bijl, Laurens & Kringhaug, Glenn & Molnár, Peter & Sandvik, Eirik, 2016. "Google searches and stock returns," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 150-156.
  89. Albert S. Kyle & Anna Obizhaeva & Yajun Wang, 2016. "Beliefs Aggregation and Return Predictability," Working Papers w0231, Center for Economic and Financial Research (CEFIR).
  90. Davide Pettenuzzo & Riccardo Sabbatucci & Allan Timmermann, 2020. "Cash Flow News and Stock Price Dynamics," Journal of Finance, American Finance Association, vol. 75(4), pages 2221-2270, August.
  91. Narayan, Paresh Kumar, 2019. "Can stale oil price news predict stock returns?," Energy Economics, Elsevier, vol. 83(C), pages 430-444.
  92. Ricardo M. Sousa, 2011. "Asset Returns Under Model Uncertainty: Evidence from the euro area, the U.K. and the U.S," Working Papers w201119, Banco de Portugal, Economics and Research Department.
  93. David Haab & Dr. Thomas Nitschka, 2017. "Predicting returns on asset markets of a small, open economy and the influence of global risks," Working Papers 2017-14, Swiss National Bank.
  94. Patrick Gagliardini & Diego Ronchetti, 2020. "Comparing Asset Pricing Models by the Conditional Hansen-Jagannathan Distance," Journal of Financial Econometrics, Oxford University Press, vol. 18(2), pages 333-394.
  95. Ma, Jun & Wohar, Mark E., 2014. "Determining what drives stock returns: Proper inference is crucial: Evidence from the UK," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 371-390.
  96. Robin Greenwood & Andrei Shleifer, 2014. "Expectations of Returns and Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 714-746.
  97. Nahida Akter & Ashadun Nobi, 2018. "Investigation of the Financial Stability of S&P 500 Using Realized Volatility and Stock Returns Distribution," JRFM, MDPI, vol. 11(2), pages 1-10, April.
  98. Jesús Gonzalo & Jean-Yves Pitarakis, 2011. "Regime-Specific Predictability in Predictive Regressions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 229-241, June.
  99. Hasler, Michael & Marfè, Roberto, 2016. "Disaster recovery and the term structure of dividend strips," Journal of Financial Economics, Elsevier, vol. 122(1), pages 116-134.
  100. John Y. Campbell & Samuel B. Thompson, 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
  101. Henkel, Sam James & Martin, J. Spencer & Nardari, Federico, 2011. "Time-varying short-horizon predictability," Journal of Financial Economics, Elsevier, vol. 99(3), pages 560-580, March.
  102. Kuvshinov, Dmitry & Zimmermann, Kaspar, 2022. "The big bang: Stock market capitalization in the long run," Journal of Financial Economics, Elsevier, vol. 145(2), pages 527-552.
  103. Olivier J Blanchard & Christopher G. Collins & Mohammad R. Jahan-Parvar & Thomas Pellet & Beth Anne Wilson, 2018. "Why Has the Stock Market Risen So Much Since the US Presidential Election?," Policy Briefs PB18-4, Peterson Institute for International Economics.
  104. Lorenzo Camponovo & O. Scaillet & Fabio Trojani, 2013. "Predictability Hidden by Anomalous Observations," Swiss Finance Institute Research Paper Series 13-05, Swiss Finance Institute.
  105. Iraola, Miguel A. & Santos, Manuel S., 2017. "Asset price volatility, price markups, and macroeconomic fluctuations," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 84-98.
  106. Cochrane, John H., 2011. "Understanding policy in the great recession: Some unpleasant fiscal arithmetic," European Economic Review, Elsevier, vol. 55(1), pages 2-30, January.
  107. Xyngis, Georgios, 2017. "Business-cycle variation in macroeconomic uncertainty and the cross-section of expected returns: Evidence for scale-dependent risks," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 43-65.
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  110. Hongye Guo & Jessica A. Wachter, 2019. ""Superstitious" Investors," NBER Working Papers 25603, National Bureau of Economic Research, Inc.
  111. De Graeve, Ferre & Dossche, Maarten & Emiris, Marina & Sneessens, Henri & Wouters, Raf, 2010. "Risk premiums and macroeconomic dynamics in a heterogeneous agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1680-1699, September.
  112. Johannes Muhle-Karbe & Max Reppen & H. Mete Soner, 2016. "A Primer on Portfolio Choice with Small Transaction Costs," Papers 1612.01302, arXiv.org, revised May 2017.
  113. Yu Chen & Thomas Cosimano & Alex Himonas, 2010. "Continuous time one-dimensional asset-pricing models with analytic price–dividend functions," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 42(3), pages 461-503, March.
  114. Bollerslev, Tim & Xu, Lai & Zhou, Hao, 2015. "Stock return and cash flow predictability: The role of volatility risk," Journal of Econometrics, Elsevier, vol. 187(2), pages 458-471.
  115. Chen, Yong & Da, Zhi & Huang, Dayong, 2022. "Short selling efficiency," Journal of Financial Economics, Elsevier, vol. 145(2), pages 387-408.
  116. Guillén, Osmani Teixeira & Hecq, Alain & Issler, João Victor & Saraiva, Diogo, 2015. "Forecasting multivariate time series under present-value model short- and long-run co-movement restrictions," International Journal of Forecasting, Elsevier, vol. 31(3), pages 862-875.
  117. Samuel YM Ze‐To, 2022. "Fundamental index aligned and excess market return predictability," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 592-614, April.
  118. Mahdi Moradi & Mehdi Jabbari Nooghabi & Mohammad Mahdi Rounaghi, 2021. "Investigation of fractal market hypothesis and forecasting time series stock returns for Tehran Stock Exchange and London Stock Exchange," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 662-678, January.
  119. McMillan, David G., 2014. "Stock return, dividend growth and consumption growth predictability across markets and time: Implications for stock price movement," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 90-101.
  120. Weijia Peng & Chun Yao, 2023. "Sector-level equity returns predictability with machine learning and market contagion measure," Empirical Economics, Springer, vol. 65(4), pages 1761-1798, October.
  121. Baetje, Fabian & Menkhoff, Lukas, 2013. "Macro determinants of U.S. stock market risk premia in bull and bear markets," Hannover Economic Papers (HEP) dp-520, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  122. Narayan, Paresh Kumar & Narayan, Seema & Phan, Dinh Hoang Bach, 2022. "Terrorism and international stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
  123. Li, Jun & Yu, Jianfeng, 2012. "Investor attention, psychological anchors, and stock return predictability," Journal of Financial Economics, Elsevier, vol. 104(2), pages 401-419.
  124. Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang, 2022. "Predicting returns and dividend growth — The role of non-Gaussian innovations," Finance Research Letters, Elsevier, vol. 46(PA).
  125. Gino Cenedese & Richard Payne & Lucio Sarno & Giorgio Valente, 2016. "What Do Stock Markets Tell Us about Exchange Rates?," Review of Finance, European Finance Association, vol. 20(3), pages 1045-1080.
  126. Amélie Charles & Olivier Darné & Jae H. Kim, 2016. "Stock Return Predictability: Evaluation based on prediction intervals," Working Papers hal-01295037, HAL.
  127. Hui Chen & Nengjiu Ju & Jianjun Miao, 2014. "Dynamic Asset Allocation with Ambiguous Return Predictability," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(4), pages 799-823, October.
  128. Miguel Angel Iraola & Manuel S. Santos, 2009. "Long-Term Asset Price Volatility and Macroeconomics Fluctations," Working Papers 0909, Centro de Investigacion Economica, ITAM.
  129. José Afonso Faias & Tiago Castel-Branco, 2018. "Out-Of-Sample Stock Return Prediction Using Higher-Order Moments," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(06), pages 1-27, September.
  130. Hollstein, Fabian & Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Wese Simen, Chardin, 2019. "International tail risk and World Fear," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 244-259.
  131. Michael Johannes & Arthur Korteweg & Nicholas Polson, 2014. "Sequential Learning, Predictability, and Optimal Portfolio Returns," Journal of Finance, American Finance Association, vol. 69(2), pages 611-644, April.
  132. Ifrim, Adrian, 2023. "Sentimental Discount Rate Shocks," EconStor Preprints 268363, ZBW - Leibniz Information Centre for Economics.
  133. Boudoukh, Jacob & Israel, Ronen & Richardson, Matthew, 2022. "Biases in long-horizon predictive regressions," Journal of Financial Economics, Elsevier, vol. 145(3), pages 937-969.
  134. da Costa, Carlos E. & Issler, João V. & Matos, Paulo F., 2015. "A Note On The Forward And The Equity Premium Puzzles: Two Symptoms Of The Same Illness?," Macroeconomic Dynamics, Cambridge University Press, vol. 19(2), pages 446-464, March.
  135. John H. Cochrane, 2011. "Discount Rates," NBER Working Papers 16972, National Bureau of Economic Research, Inc.
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