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

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Cited by:

  1. 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.
  2. 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.
  3. 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.
  4. Mario Forni & Luca Gambetti & Marco Lippi & Luca Sala, 2017. "Noise Bubbles," Economic Journal, Royal Economic Society, vol. 127(604), pages 1940-1976, September.
  5. 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.
  6. Christian Bach & Peter O. Christensen, 2016. "Consumption-based equity valuation," Review of Accounting Studies, Springer, vol. 21(4), pages 1149-1202, December.
  7. Kevin J. Lansing, 2011. "Asset pricing with concentrated ownership of capital," Working Paper 2011/18, Norges Bank.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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).
  13. Antonio Gil de Rubio Cruz & Steven A. Sharpe, 2024. "Predicting Analysts’ S&P 500 Earnings Forecast Errors and Stock Market Returns using Macroeconomic Data and Nowcasts," Finance and Economics Discussion Series 2024-049, Board of Governors of the Federal Reserve System (U.S.).
  14. 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.
  15. 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.
  16. Faria, Gonçalo & Verona, Fabio, 2020. "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, vol. 50(C).
  17. Avdis, Efstathios & Wachter, Jessica A., 2017. "Maximum likelihood estimation of the equity premium," Journal of Financial Economics, Elsevier, vol. 125(3), pages 589-609.
  18. 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.
  19. 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.
  20. Christopher L. Culp & Yoshio Nozawa & Pietro Veronesi, 2014. "Option-Based Credit Spreads," NBER Working Papers 20776, National Bureau of Economic Research, Inc.
  21. 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.
  22. John C. Williams, 2013. "Bubbles tomorrow and bubbles yesterday, but never bubbles today?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue sept23.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. Maio, Paulo, 2013. "Return decomposition and the Intertemporal CAPM," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4958-4972.
  33. 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.
  34. Olkhov, Victor, 2014. "Expressions of market-based correlations between prices and returns of two assets," MPRA Paper 123009, University Library of Munich, Germany.
  35. Leland E. Farmer & Lawrence Schmidt & Allan Timmermann, 2023. "Pockets of Predictability," Journal of Finance, American Finance Association, vol. 78(3), pages 1279-1341, June.
  36. 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.
  37. 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.
  38. Davide Pettenuzzo & Riccardo Sabbatucci & Allan Timmermann, 2018. "High-frequency Cash Flow Dynamics," Working Papers 120, Brandeis University, Department of Economics and International Business School.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. Andreas Neuhierl & Michael Weber & Michael Weber, 2016. "Monetary Policy and the Stock Market: Time-Series Evidence," CESifo Working Paper Series 6199, CESifo.
  45. Bandi, Federico M. & Bretscher, Lorenzo & Tamoni, Andrea, 2023. "Return predictability with endogenous growth," Journal of Financial Economics, Elsevier, vol. 150(3).
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. Narayan, Paresh Kumar, 2019. "Can stale oil price news predict stock returns?," Energy Economics, Elsevier, vol. 83(C), pages 430-444.
  52. David Haab & 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.
  53. 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.
  54. 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.
  55. 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.
  56. 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.
  57. 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.
  58. Lorenzo Camponovo & O. Scaillet & Fabio Trojani, 2013. "Predictability Hidden by Anomalous Observations," Swiss Finance Institute Research Paper Series 13-05, Swiss Finance Institute.
  59. 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.
  60. 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.
  61. Wachter, Jessica A. & Warusawitharana, Missaka, 2015. "What is the chance that the equity premium varies over time? Evidence from regressions on the dividend-price ratio," Journal of Econometrics, Elsevier, vol. 186(1), pages 74-93.
  62. Chen, Yong & Da, Zhi & Huang, Dayong, 2022. "Short selling efficiency," Journal of Financial Economics, Elsevier, vol. 145(2), pages 387-408.
  63. 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.
  64. 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.
  65. 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.
  66. Li, Jun & Yu, Jianfeng, 2012. "Investor attention, psychological anchors, and stock return predictability," Journal of Financial Economics, Elsevier, vol. 104(2), pages 401-419.
  67. 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).
  68. 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.
  69. Ifrim, Adrian, 2023. "Sentimental Discount Rate Shocks," EconStor Preprints 268363, ZBW - Leibniz Information Centre for Economics.
  70. Karim M. Abadir & Gabriel Talmain, 2012. "Beyond Co-Integration: Modelling Co-Movements in Macro finance," Working Paper series 25_12, Rimini Centre for Economic Analysis.
  71. Valentin Haddad & Erik Loualiche & Matthew Plosser, 2017. "Buyout Activity: The Impact of Aggregate Discount Rates," Journal of Finance, American Finance Association, vol. 72(1), pages 371-414, February.
  72. Deshui Yu & Yayi Yan, 2023. "Joint dynamics of stock returns and cash flows: A time‐varying present‐value framework," Financial Management, Financial Management Association International, vol. 52(3), pages 513-541, September.
  73. Engsted, Tom & Pedersen, Thomas Q., 2014. "Housing market volatility in the OECD area: Evidence from VAR based return decompositions," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 91-103.
  74. Jessica A. Wachter, 2010. "Asset Allocation," Annual Review of Financial Economics, Annual Reviews, vol. 2(1), pages 175-206, December.
  75. Atanasov, Victoria, 2021. "Unemployment and aggregate stock returns," Journal of Banking & Finance, Elsevier, vol. 129(C).
  76. Straetmans, S.T.M. & Candelon, B. & Ahmed, J., 2012. "Predicting and capitalizing on stock market bears in the U.S," Research Memorandum 019, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
  77. Tom Engsted, 2009. "Statistical vs. Economic Significance in Economics and Econometrics: Further comments on McCloskey & Ziliak," CREATES Research Papers 2009-17, Department of Economics and Business Economics, Aarhus University.
  78. Zhu, Yingzi & Zhou, Guofu, 2009. "Technical analysis: An asset allocation perspective on the use of moving averages," Journal of Financial Economics, Elsevier, vol. 92(3), pages 519-544, June.
  79. Maynard, Alex & Ren, Dongmeng, 2019. "The finite sample power of long-horizon predictive tests in models with financial bubbles," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 418-430.
  80. Tao Chen, 2018. "Does Investor Attention Matter To Renminbi Trading?," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(03), pages 667-689, June.
  81. Tom Engsted & Thomas Q. Pedersen, 2018. "Disappearing money illusion," CREATES Research Papers 2018-24, Department of Economics and Business Economics, Aarhus University.
  82. 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.
  83. 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.
  84. François Gourio, 2013. "Credit Risk and Disaster Risk," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(3), pages 1-34, July.
  85. Huang, Darien & Kilic, Mete, 2019. "Gold, platinum, and expected stock returns," Journal of Financial Economics, Elsevier, vol. 132(3), pages 50-75.
  86. Zhang, Han, 2021. "An inflation-based ICAPM in China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
  87. Frederico Belo & Pierre Collin-Dufresne & Robert S. Goldstein, 2012. "Endogenous Dividend Dynamics and the Term Structure of Dividend Strips," NBER Working Papers 18450, National Bureau of Economic Research, Inc.
  88. Guanhao Feng & Nicholas Polson, 2020. "Regularizing Bayesian predictive regressions," Journal of Asset Management, Palgrave Macmillan, vol. 21(7), pages 591-608, December.
  89. Paskalis Glabadanidis, 2014. "The Market Timing Power of Moving Averages: Evidence from US REITs and REIT Indexes," International Review of Finance, International Review of Finance Ltd., vol. 14(2), pages 161-202, June.
  90. Vassilis Polimenis & Ioannis Neokosmidis, 2019. "Non-stationary dividend-price ratios," Journal of Asset Management, Palgrave Macmillan, vol. 20(7), pages 552-567, December.
  91. Roberto Marfè, 2017. "Income Insurance and the Equilibrium Term Structure of Equity," Journal of Finance, American Finance Association, vol. 72(5), pages 2073-2130, October.
  92. Ravi Jagannathan & Binying Liu, 2019. "Dividend Dynamics, Learning, and Expected Stock Index Returns," Journal of Finance, American Finance Association, vol. 74(1), pages 401-448, February.
  93. Ian Martin, 2017. "What is the Expected Return on the Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(1), pages 367-433.
  94. 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.
  95. Ruey-Shii Chen & Tai-Wei Zhang, 2018. "Dividend cuts and predictability," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(2), pages 249-267, April.
  96. Gebka, Bartosz & Wohar, Mark E., 2019. "Stock return distribution and predictability: Evidence from over a century of daily data on the DJIA index," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 1-25.
  97. Kim, Hyeongwoo & Ryu, Deockhyun, 2015. "Measuring the speed of convergence of stock prices: A nonparametric and nonlinear approach," Economic Modelling, Elsevier, vol. 51(C), pages 227-241.
  98. Mehmet Sahiner, 2022. "Forecasting volatility in Asian financial markets: evidence from recursive and rolling window methods," SN Business & Economics, Springer, vol. 2(10), pages 1-74, October.
  99. Gusev, Maxim & Kroujiline, Dimitri & Govorkov, Boris & Sharov, Sergey V. & Ushanov, Dmitry & Zhilyaev, Maxim, 2014. "Predictable markets? A news-driven model of the stock market," MPRA Paper 58831, University Library of Munich, Germany.
  100. Noman, Abdullah & Naka, Atsuyuki & Zirek, Duygu, 2017. "Examining return predictability of industry style portfolios with prior return relative to a benchmark," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 193-203.
  101. 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.
  102. Botshekan, Mahmoud & Kraeussl, Roman & Lucas, Andre, 2012. "Cash Flow and Discount Rate Risk in Up and Down Markets: What Is Actually Priced?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(6), pages 1279-1301, December.
  103. 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.
  104. Rytchkov, Oleg, 2010. "Expected returns on value, growth, and HML," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 552-565, September.
  105. Lan, Chunhua & Doan, Bao, 2022. "Stock price movements: Evidence from global equity markets," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 123-143.
  106. Brückbauer, Frank, 2022. "Do financial market experts know their theory? New evidence from survey data," ZEW Discussion Papers 20-092, ZEW - Leibniz Centre for European Economic Research, revised 2022.
  107. Kuvshinov, Dmitry & Zimmermann, Kaspar, 2020. "The Expected Return on Risky Assets: International Long-run Evidence," CEPR Discussion Papers 15610, C.E.P.R. Discussion Papers.
  108. Roman Kraeussl & Christian Wiehenkamp, 2012. "A call on art investments," Review of Derivatives Research, Springer, vol. 15(1), pages 1-23, April.
  109. Longstaff, Francis A., 2010. "The subprime credit crisis and contagion in financial markets," Journal of Financial Economics, Elsevier, vol. 97(3), pages 436-450, September.
  110. Branger, Nicole & Grüning, Patrick & Kraft, Holger & Meinerding, Christoph, 2013. "Asset pricing under uncertainty about shock propagation," SAFE Working Paper Series 34, Leibniz Institute for Financial Research SAFE.
  111. Maio, Paulo & Zeng, Ming, 2023. "On the driving forces of real exchange rates: Is the Japanese Yen different?," Journal of Empirical Finance, Elsevier, vol. 74(C).
  112. Stefano Giglio & Bryan Kelly, 2018. "Excess Volatility: Beyond Discount Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 71-127.
  113. Long Chen & Zhi Da & Borja Larrain, 2016. "What Moves Investment Growth?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(8), pages 1613-1653, December.
  114. Michael W. McCracken & Giorgio Valente, 2018. "Asymptotic Inference for Performance Fees and the Predictability of Asset Returns," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(3), pages 426-437, July.
  115. David G. McMillan, 2014. "Modelling Time‐Variation in the Stock Return‐Dividend Yield Predictive Equation," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 23(5), pages 273-302, December.
  116. Tom Engsted & Stig V. Møller & Magnus Sander, 2013. "Bond return predictability in expansions and recessions," CREATES Research Papers 2013-13, Department of Economics and Business Economics, Aarhus University.
  117. Veronesi, Pietro & Nozawa, Yoshio & Culp, Christopher L., 2014. "Option-Based Credit Spreads," CEPR Discussion Papers 10318, C.E.P.R. Discussion Papers.
  118. Efstathios Avdis & Jessica A. Wachter, 2013. "Maximum likelihood estimation of the equity premium," NBER Working Papers 19684, National Bureau of Economic Research, Inc.
  119. McMillan, David G., 2019. "Predicting firm level stock returns: Implications for asset pricing and economic links," The British Accounting Review, Elsevier, vol. 51(4), pages 333-351.
  120. Yu, Deshui & Huang, Difang & Chen, Li, 2023. "Stock return predictability and cyclical movements in valuation ratios," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 36-53.
  121. Adem Atmaz & Huseyin Gulen & Stefano Cassella & Fangcheng Ruan, 2024. "Contrarians, Extrapolators, and Stock Market Momentum and Reversal," Management Science, INFORMS, vol. 70(9), pages 5949-5984, September.
  122. Favero, Carlo A. & Tamoni, Andrea & Ortu, Fulvio & Yang, Haoxi, 2016. "Implications of Return Predictability across Horizons for Asset Pricing Models," CEPR Discussion Papers 11645, C.E.P.R. Discussion Papers.
  123. Ludvigson, Sydney C., 2013. "Advances in Consumption-Based Asset Pricing: Empirical Tests," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 799-906, Elsevier.
  124. Dladla, Pholile & Malikane, Christopher, 2019. "Stock return predictability: Evidence from a structural model," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 412-424.
  125. Pierre Lafourcade, 2008. "Are Asset Returns Predictable from the National Accounts?," DNB Working Papers 189, Netherlands Central Bank, Research Department.
  126. Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2014. "Forecasting the Equity Risk Premium: The Role of Technical Indicators," Management Science, INFORMS, vol. 60(7), pages 1772-1791, July.
  127. Chen, Qinhua & Chi, Yeguang & Qiao, Xiao, 2020. "Follow the smart money: Factor forecasting in China," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
  128. J. Bradford DeLong & Konstantin Magin, 2009. "The U.S. Equity Return Premium: Past, Present, and Future," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 193-208, Winter.
  129. Albert S. Kyle & Anna A. Obizhaeva & Yajun Wang, 2023. "Beliefs Aggregation and Return Predictability," Journal of Finance, American Finance Association, vol. 78(1), pages 427-486, February.
  130. Gunter Löffler, 2013. "Tower Building And Stock Market Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 36(3), pages 413-434, September.
  131. Goodness C. Aye & Rangan Gupta & Mampho P. Modise, 2012. "Structural Breaks and Predictive Regressions Models of South African Equity Premium," Working Papers 201209, University of Pretoria, Department of Economics.
  132. repec:zbw:bofrdp:2020_016 is not listed on IDEAS
  133. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95, October –.
  134. Ferreira, Miguel A. & Santa-Clara, Pedro, 2011. "Forecasting stock market returns: The sum of the parts is more than the whole," Journal of Financial Economics, Elsevier, vol. 100(3), pages 514-537, June.
  135. Rangvid, Jesper & Schmeling, Maik & Schrimpf, Andreas, 2014. "Dividend Predictability Around the World," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(5-6), pages 1255-1277, December.
  136. Thomas Nitschka, 2014. "What News Drive Variation in Swiss and US Bond and Stock Excess Returns?," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(II), pages 89-118, June.
  137. Lawrenz, Jochen & Zorn, Josef, 2018. "Decomposing the predictive power of local and global financial valuation ratios," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 137-149.
  138. Engsted, Tom & Pedersen, Thomas Q., 2015. "Predicting returns and rent growth in the housing market using the rent-price ratio: Evidence from the OECD countries," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 257-275.
  139. He, Mengxi & Zhang, Yaojie, 2022. "Climate policy uncertainty and the stock return predictability of the oil industry," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
  140. Charles, Amelie & Darne, Olivier & Kim, Jae, 2016. "Stock Return Predictability: Evaluation based on Prediction Intervals," MPRA Paper 70143, University Library of Munich, Germany.
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