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Citations for "The Economic Value of Predicting Stock Index Returns and Volatility"

by Marquering, Wessel & Verbeek, Marno

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  1. Narayan, Paresh Kumar & Liu, Ruipeng & Westerlund, Joakim, 2016. "A GARCH model for testing market efficiency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 121-138.
  2. Rossi, Barbara, 2013. "Advances in Forecasting under Instability," Handbook of Economic Forecasting, Elsevier.
  3. Della Corte, Pasquale & Sarno, Lucio & Tsiakas, Ilias, 2011. "Spot and forward volatility in foreign exchange," Journal of Financial Economics, Elsevier, vol. 100(3), pages 496-513, June.
  4. Panopoulou, Ekaterini & Vrontos, Spyridon, 2015. "Hedge fund return predictability; To combine forecasts or combine information?," Journal of Banking & Finance, Elsevier, vol. 56(C), pages 103-122.
  5. Rime, Dagfinn & Sarno, Lucio & Sojli, Elvira, 2010. "Exchange rate forecasting, order flow and macroeconomic information," Journal of International Economics, Elsevier, vol. 80(1), pages 72-88, January.
  6. Baetje, Fabian & Menkhoff, Lukas, 2016. "Equity premium prediction: Are economic and technical indicators unstable?," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1193-1207.
  7. Narayan, Paresh Kumar & Narayan, Seema & Sharma, Susan Sunila, 2013. "An analysis of commodity markets: What gain for investors?," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3878-3889.
  8. Daniel L. Thornton & Giorgio Valente, 2009. "Revisiting the predictability of bond risk premia," Working Papers 2009-009, Federal Reserve Bank of St. Louis.
  9. Ahmed, Shamim & Tsvetanov, Daniel, 2016. "The predictive performance of commodity futures risk factors," Journal of Banking & Finance, Elsevier, vol. 71(C), pages 20-36.
  10. Karstanje, Dennis & Sojli, Elvira & Tham, Wing Wah & van der Wel, Michel, 2013. "Economic valuation of liquidity timing," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5073-5087.
  11. Cerrato, Mario & Kim, Hyunsok & MacDonald, Ronald, 2015. "Microstructure order flow: statistical and economic evaluation of nonlinear forecasts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 40-52.
  12. Sharma, Susan Sunila & Narayan, Paresh Kumar & Zheng, Xinwei, 2014. "An analysis of firm and market volatility," Economic Systems, Elsevier, vol. 38(2), pages 205-220.
  13. Kumar, Dilip, 2015. "Sudden changes in extreme value volatility estimator: Modeling and forecasting with economic significance analysis," Economic Modelling, Elsevier, vol. 49(C), pages 354-371.
  14. Narayan, Paresh Kumar & Narayan, Seema & Thuraisamy, Kannan Sivananthan, 2014. "Can institutions and macroeconomic factors predict stock returns in emerging markets?," Emerging Markets Review, Elsevier, vol. 19(C), pages 77-95.
  15. Hui Hong & Fergal O'Brien & James Ryan, 2014. "Inflation And The Subsequent Timing Of The Chinese Stock Market," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 10(2), pages 13-35.
  16. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "A quantile-boosting approach to forecasting gold returns," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 38-55.
  17. Lennart Hoogerheide & Richard Kleijn & Francesco Ravazzolo & Herman K. Van Dijk & Marno Verbeek, 2010. "Forecast accuracy and economic gains from Bayesian model averaging using time-varying weights," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 251-269.
  18. Boucher, Christophe & Maillet, Bertrand & Michel, Thierry, 2008. "Do misalignments predict aggregated stock-market volatility?," Economics Letters, Elsevier, vol. 100(2), pages 317-320, August.
  19. Li, Yan & Ng, David T. & Swaminathan, Bhaskaran, 2013. "Predicting market returns using aggregate implied cost of capital," Journal of Financial Economics, Elsevier, vol. 110(2), pages 419-436.
  20. Wessel Marquering & Johan Nisser & Toni Valla, 2006. "Disappearing anomalies: a dynamic analysis of the persistence of anomalies," Applied Financial Economics, Taylor & Francis Journals, vol. 16(4), pages 291-302.
  21. Bätje, Fabian & Menkhoff, Lukas, 2016. "Predicting the equity premium via its components," Annual Conference 2016 (Augsburg): Demographic Change 145789, Verein für Socialpolitik / German Economic Association.
  22. Lin, Hai & Wang, Junbo & Wu, Chunchi, 2014. "Predictions of corporate bond excess returns," Journal of Financial Markets, Elsevier, vol. 21(C), pages 123-152.
  23. Narayan, Paresh Kumar & Westerlund, Joakim, 2014. "Does cash flow predict returns?," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 230-236.
  24. 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.
  25. 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.
  26. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2014. "Firm return volatility and economic gains: The role of oil prices," Economic Modelling, Elsevier, vol. 38(C), pages 142-151.
  27. Prashanth Mahagaonkar & Rainer Schweickert & Aditya S. Chavali, 2009. "Sectoral R&D Intensity and Exchange Rate Volatility: A Panel Study for OECD Countries," Kiel Working Papers 1531, Kiel Institute for the World Economy.
  28. Della Corte, Pasquale & Sarno, Lucio & Thornton, Daniel L., 2008. "The expectation hypothesis of the term structure of very short-term rates: Statistical tests and economic value," Journal of Financial Economics, Elsevier, vol. 89(1), pages 158-174, July.
  29. Pasquale Della Corte & Lucio Sarno & Giulia Sestieri, 2012. "The Predictive Information Content of External Imbalances for Exchange Rate Returns: How Much Is It Worth?," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 100-115, February.
  30. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2016. "Stock return predictability and determinants of predictability and profits," Emerging Markets Review, Elsevier, vol. 26(C), pages 153-173.
  31. Thomadakis, Apostolos, 2016. "Do Combination Forecasts Outperform the Historical Average? Economic and Statistical Evidence," MPRA Paper 71589, University Library of Munich, Germany.
  32. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2016. "Intraday return predictability, portfolio maximisation, and hedging," Emerging Markets Review, Elsevier, vol. 28(C), pages 105-116.
  33. 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.
  34. de Goeij, P. C. & Marquering, W., 2004. "Modeling the conditional covariance between stock and bond returns : A multivariate GARCH approach," Other publications TiSEM 94fe5ada-715a-4339-b94c-f, Tilburg University, School of Economics and Management.
  35. Mahagaonkar, Prashanth & Schweickert, Rainer & Chavali, Aditya S., 2009. "Sectoral R&D intensity and exchange rate volatility: a panel study for OECD countries," Kiel Working Papers 1531, Kiel Institute for the World Economy (IfW).
  36. Barnhart, Scott W. & Giannetti, Antoine, 2009. "Negative earnings, positive earnings and stock return predictability: An empirical examination of market timing," Journal of Empirical Finance, Elsevier, vol. 16(1), pages 70-86, January.
  37. David Ardia & Lukasz T. Gatarek & Lennart Hoogerheide & Herman K. van Dijk, 2016. "Return and Risk of Pairs Trading Using a Simulation-Based Bayesian Procedure for Predicting Stable Ratios of Stock Prices," Econometrics, MDPI, Open Access Journal, vol. 4(1), pages 1-19, March.
  38. Kole, H.J.W.G. & van Dijk, D.J.C., 2013. "How to Identify and Forecast Bull and Bear Markets?," ERIM Report Series Research in Management ERS-2013-016-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  39. repec:dau:papers:123456789/5954 is not listed on IDEAS
  40. Gomes, Francisco J., 2007. "Exploiting short-run predictability," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1427-1440, May.
  41. Candelon Bertrand & Ahmed Jameel & Straetmans Stefan, 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).
  42. Thomas Q. Pedersen, 2015. "Predictable Return Distributions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 114-132, 03.
  43. Chang, Kuang-Liang, 2009. "Do macroeconomic variables have regime-dependent effects on stock return dynamics? Evidence from the Markov regime switching model," Economic Modelling, Elsevier, vol. 26(6), pages 1283-1299, November.
  44. Wessel Marquering, 2006. "Do consumption-based asset pricing models explain return predictability?," Applied Financial Economics, Taylor & Francis Journals, vol. 16(14), pages 1019-1027.
  45. Wang, Yudong & Liu, Li & Ma, Feng & Wu, Chongfeng, 2016. "What the investors need to know about forecasting oil futures return volatility," Energy Economics, Elsevier, vol. 57(C), pages 128-139.
  46. Yufeng Han, 2010. "On the Economic Value of Return Predictability," Annals of Economics and Finance, Society for AEF, vol. 11(1), pages 1-33, May.
  47. Sepideh Dolatabadi & Paresh Kumar Narayan & Morten Ørregaard Nielsen & Ke Xu, 2017. "Economic significance of commodity return forecasts from the fractionally cointegrated VAR model," Working Papers 1337, Queen's University, Department of Economics.
  48. Çakmaklı, Cem & van Dijk, Dick, 2016. "Getting the most out of macroeconomic information for predicting excess stock returns," International Journal of Forecasting, Elsevier, vol. 32(3), pages 650-668.
  49. Ahmed, Shamim & Liu, Xiaoquan & Valente, Giorgio, 2016. "Can currency-based risk factors help forecast exchange rates?," International Journal of Forecasting, Elsevier, vol. 32(1), pages 75-97.
  50. Vasios, Michalis & Payne, Richard & Nolte, Ingmar, 2015. "Profiting from Mimicking Strategies in Non-Anonymous Markets," MPRA Paper 61710, University Library of Munich, Germany.
  51. Chou, Ray Yeutien & Liu, Nathan, 2010. "The economic value of volatility timing using a range-based volatility model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(11), pages 2288-2301, November.
  52. Biswas, Anindya, 2014. "The output gap and expected security returns," Review of Financial Economics, Elsevier, vol. 23(3), pages 131-140.
  53. Paye, Bradley S., 2012. "‘Déjà vol’: Predictive regressions for aggregate stock market volatility using macroeconomic variables," Journal of Financial Economics, Elsevier, vol. 106(3), pages 527-546.
  54. de Goeij, Peter & Marquering, Wessel, 2009. "Stock and bond market interactions with level and asymmetry dynamics: An out-of-sample application," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 318-329, March.
  55. Narayan, Paresh Kumar & Narayan, Seema & Westerlund, Joakim, 2015. "Do order imbalances predict Chinese stock returns? New evidence from intraday data," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 136-151.
  56. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 13, April.
  57. Diego Bastourre & Luis Casanova & Alejo Espora, 2011. "Tipo de Cambio Real y Crecimiento: Síntesis de la Evidencia y Agenda de Investigación," Department of Economics, Working Papers 082, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
  58. Tsiakas, Ilias, 2008. "Overnight information and stochastic volatility: A study of European and US stock exchanges," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 251-268, February.
  59. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "A boosting approach to forecasting the volatility of gold-price fluctuations under flexible loss," Resources Policy, Elsevier, vol. 47(C), pages 95-107.
  60. Carlo Altavilla & Raffaella Giacomini & Riccardo Costantini, 2014. "Bond Returns and Market Expectations," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 12(4), pages 708-729.
  61. Rapach, David & Zhou, Guofu, 2013. "Forecasting Stock Returns," Handbook of Economic Forecasting, Elsevier.
  62. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Narayan, Paresh Kumar, 2015. "Stock return forecasting: Some new evidence," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 38-51.
  63. Veera Lenkkeri & Wessel Marquering & Ben Strunkmann-Meister, 2006. "The Friday Effect in European Securitized Real Estate Index Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 33(1), pages 31-50, August.
  64. Ravazzolo, F. & van Dijk, D.J.C. & Paap, R. & Franses, Ph.H.B.F., 2006. "Bayesian Model Averaging in the Presence of Structural Breaks," Econometric Institute Research Papers EI 2006-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  65. Westerlund, Joakim & Narayan, Paresh Kumar, 2012. "Does the choice of estimator matter when forecasting returns?," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2632-2640.
  66. Marquering, Wessel & Verbeek, Marno, 2004. "A multivariate nonparametric test for return and volatility timing," Finance Research Letters, Elsevier, vol. 1(4), pages 250-260, December.
  67. Elliott, Graham & Gargano, Antonio & Timmermann, Allan, 2013. "Complete subset regressions," Journal of Econometrics, Elsevier, vol. 177(2), pages 357-373.
  68. Nolte, Ingmar & Xu, Qi, 2015. "The economic value of volatility timing with realized jumps," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 45-59.
  69. Sharma, Susan Sunila & Thuraisamy, Kannan, 2013. "Oil price uncertainty and sovereign risk: Evidence from Asian economies," Journal of Asian Economics, Elsevier, vol. 28(C), pages 51-57.
  70. Baetje, Fabian & Menkhoff, Lukas, 2016. "Equity premium prediction: Are economic and technical indicators unstable?," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1193-1207.
  71. Giambona, Erasmo & Golec, Joseph, 2009. "Mutual fund volatility timing and management fees," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 589-599, April.
  72. Barras, Laurent, 2007. "International conditional asset allocation under specification uncertainty," Journal of Empirical Finance, Elsevier, vol. 14(4), pages 443-464, September.
  73. Kao, Erin H., 2011. "Momentum and reversals in Taiwan index futures returns during periods of extreme trading imbalance," International Review of Economics & Finance, Elsevier, vol. 20(3), pages 459-467, June.
  74. Balvers, Ronald & Wu, Yangru, 2010. "Optimal transaction filters under transitory trading opportunities: Theory and empirical illustration," Journal of Financial Markets, Elsevier, vol. 13(1), pages 129-156, February.
  75. Allen, D. & Lizieri, C. & Satchell, S., 2012. "Mean-Variance versus 1/N: What if we can forecast? (Updated 22nd December 2013)," Cambridge Working Papers in Economics 1244, Faculty of Economics, University of Cambridge.
  76. Paye, Bradley S. & Timmermann, Allan, 2006. "Instability of return prediction models," Journal of Empirical Finance, Elsevier, vol. 13(3), pages 274-315, June.
  77. Giannetti, A., 2007. "The short term predictive ability of earnings-price ratios: The recent evidence (1994-2003)," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(1), pages 26-39, March.
  78. Hwang, Ruey-Ching, 2012. "A varying-coefficient default model," International Journal of Forecasting, Elsevier, vol. 28(3), pages 675-688.
  79. de Goeij, P. C. & Marquering, W., 2009. "Stock and bond market interactions with level and asymmetry dynamics : An out-of-sample application," Other publications TiSEM fa1d33b9-7e68-4e15-b211-e, Tilburg University, School of Economics and Management.
  80. repec:gam:jecnmx:v:4:y:2016:i:1:p:14:d:65426 is not listed on IDEAS
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