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Predicting the bear stock market: Macroeconomic variables as leading indicators

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Cited by:

  1. Zeng, Songlin & Bec, Frédérique, 2015. "Do stock returns rebound after bear markets? An empirical analysis from five OECD countries," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 50-61.
  2. Liu, Jie & Wu, Chonglin & Yuan, Lin & Liu, Jia, 2022. "Opening price manipulation and its value influences," International Review of Financial Analysis, Elsevier, vol. 83(C).
  3. Asgharian, Hossein, 2011. "A conditional asset-pricing model with the optimal orthogonal portfolio," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1027-1040, May.
  4. 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).
  5. Smimou, K., 2017. "Does gold Liquidity learn from the greenback or the equity?," Research in International Business and Finance, Elsevier, vol. 41(C), pages 461-479.
  6. Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 235-256.
  7. Eduard Baitinger & Samuel Flegel, 2021. "The better turbulence index? Forecasting adverse financial markets regimes with persistent homology," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(3), pages 277-308, September.
  8. Aliyu, Shehu Usman Rano, 2020. "What have we learnt from modelling stock returns in Nigeria: Higgledy-piggledy?," MPRA Paper 110382, University Library of Munich, Germany, revised 06 Jun 2021.
  9. Jia Liu & John M. Maheu & Yong Song, 2024. "Identification and forecasting of bull and bear markets using multivariate returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 723-745, August.
  10. Khallouli, Wajih & Sandretto, René, 2012. "Testing for “Contagion” of the Subprime Crisis on the Middle East and North African Stock Markets: A Markov Switching EGARCH Approach," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 27, pages 134-166.
  11. Chang, Kuang-Liang, 2016. "Does the return-state-varying relationship between risk and return matter in modeling the time series process of stock return?," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 72-87.
  12. Wajih Khallouli & Rene Sandretto, 2011. "Testing for “Contagion” of the Subprime Crisis on the Middle East And North African Stock Markets: A Markov Switching EGARCH Approach," Working Papers 609, Economic Research Forum, revised 08 Jan 2011.
  13. Polyzos, Efstathios & Wang, Fang, 2022. "Twitter and market efficiency in energy markets: Evidence using LDA clustered topic extraction," Energy Economics, Elsevier, vol. 114(C).
  14. Frédérique Bec & Annabelle de Gaye, 2019. "Le modèle autorégressif autorégressif à seuil avec effet rebond : Une application aux rendements boursiers français et américains ," Working Papers hal-02014663, HAL.
  15. Rangel, José Gonzalo, 2011. "Macroeconomic news, announcements, and stock market jump intensity dynamics," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1263-1276, May.
  16. Baldi, Lucia & Peri, Massimo & Vandone, Daniela, 2013. "Clean Energy Industries and rare Earth Materials: Economic and Financial Issues," 2013 International European Forum, February 18-22, 2013, Innsbruck-Igls, Austria 164750, International European Forum on System Dynamics and Innovation in Food Networks.
  17. Erik Kole & Dick Dijk, 2017. "How to Identify and Forecast Bull and Bear Markets?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 120-139, January.
  18. Chang, Shu-Lien & Chien, Cheng-Yi & Lee, Hsiu-Chuan & Lin, Ching, 2018. "Historical high and stock index returns: Application of the regression kink model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 48-63.
  19. Reza Bradrania & Davood Pirayesh Neghab, 2022. "State-dependent Asset Allocation Using Neural Networks," Papers 2211.00871, arXiv.org.
  20. Aretz, Kevin & Bartram, Söhnke M. & Pope, Peter F., 2010. "Macroeconomic risks and characteristic-based factor models," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1383-1399, June.
  21. Efthymios Pavlidis & Alisa Yusupova & Ivan Paya & David Peel & Enrique Martínez-García & Adrienne Mack & Valerie Grossman, 2016. "Episodes of Exuberance in Housing Markets: In Search of the Smoking Gun," The Journal of Real Estate Finance and Economics, Springer, vol. 53(4), pages 419-449, November.
  22. Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Wese Simen, Chardin, 2019. "The risk premium of gold," Journal of International Money and Finance, Elsevier, vol. 94(C), pages 140-159.
  23. Ahmed, Jameel & Straetmans, Stefan, 2015. "Predicting exchange rate cycles utilizing risk factors," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 112-130.
  24. Smimou, K. & Khallouli, W., 2015. "Does the Euro affect the dynamic relation between stock market liquidity and the business cycle?," Emerging Markets Review, Elsevier, vol. 25(C), pages 125-153.
  25. Peri, Massimo & Vandone, Daniela & Baldi, Lucia, 2014. "Worldwide Evidences in the Relationships between Agriculture, Energy and Water Sectors," 2014 International European Forum, February 17-21, 2014, Innsbruck-Igls, Austria 199346, International European Forum on System Dynamics and Innovation in Food Networks.
  26. Nyberg, Henri & Pönkä, Harri, 2016. "International sign predictability of stock returns: The role of the United States," Economic Modelling, Elsevier, vol. 58(C), pages 323-338.
  27. Haase, Felix & Neuenkirch, Matthias, 2023. "Predictability of bull and bear markets: A new look at forecasting stock market regimes (and returns) in the US," International Journal of Forecasting, Elsevier, vol. 39(2), pages 587-605.
  28. Puneet Vatsa & Hem C. Basnet & Franklin G. Mixon & Kamal P. Upadhyaya, 2024. "Stock Markets Cycles and Macroeconomic Dynamics," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 30(3), pages 255-278, August.
  29. Marshall, Ben R. & Visaltanachoti, Nuttawat, 2010. "The Other January Effect: Evidence against market efficiency?," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2413-2424, October.
  30. Elie Bouri & Mahamitra Das & Rangan Gupta & David Roubaud, 2018. "Spillovers between Bitcoin and other assets during bear and bull markets," Applied Economics, Taylor & Francis Journals, vol. 50(55), pages 5935-5949, November.
  31. Shi, Qi & Li, Bin, 2022. "Further evidence on financial information and economic activity forecasts in the United States," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
  32. Angelidis, Timotheos & Degiannakis, Stavros & Filis, George, 2015. "US stock market regimes and oil price shocks," Global Finance Journal, Elsevier, vol. 28(C), pages 132-146.
  33. Rania Jammazi & Duc Khuong Nguyen, 2015. "Responses of international stock markets to oil price surges: a regime-switching perspective," Applied Economics, Taylor & Francis Journals, vol. 47(41), pages 4408-4422, September.
  34. Linh Nguyen & Vilém Novák & Soheyla Mirshahi, 2020. "Trend‐cycle Estimation Using Fuzzy Transform and Its Application for Identifying Bull and Bear Phases in Markets," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(3), pages 111-124, July.
  35. Oliver Entrop & Bart Frijns & Marco Seruset, 2020. "The determinants of price discovery on bitcoin markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(5), pages 816-837, May.
  36. Srikanta Kundu & Nityananda Sarkar, 2016. "Is the Effect of Risk on Stock Returns Different in Up and Down Markets? A Multi-Country Study," International Econometric Review (IER), Econometric Research Association, vol. 8(2), pages 53-71, September.
  37. Andy Wui Wing Cheng & Iris Wing Han Yip, 2017. "China’s Macroeconomic Fundamentals on Stock Market Volatility: Evidence from Shanghai and Hong Kong," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-57, June.
  38. Caner Demir, 2019. "Macroeconomic Determinants of Stock Market Fluctuations: The Case of BIST-100," Economies, MDPI, vol. 7(1), pages 1-14, February.
  39. Westerlund, Joakim & Narayan, Paresh, 2016. "Testing for predictability in panels of any time series dimension," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1162-1177.
  40. Damir Tokic & Dave Jackson, 2023. "When a correction turns into a bear market: What explains the depth of the stock market drawdown? A discretionary global macro approach," Journal of Asset Management, Palgrave Macmillan, vol. 24(3), pages 184-197, May.
  41. Zhi-Qiang Jiang & Gang-Jin Wang & Askery Canabarro & Boris Podobnik & Chi Xie & H. Eugene Stanley & Wei-Xing Zhou, 2018. "Short term prediction of extreme returns based on the recurrence interval analysis," Quantitative Finance, Taylor & Francis Journals, vol. 18(3), pages 353-370, March.
  42. Cui, Wei & Yao, Juan, 2020. "Funds of hedge funds: Are they really the high society for little guys?," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 346-361.
  43. Candelon, B. & Metiu, N., 2009. "Testing for exceptional bulls and bears: a non-parametric perspective," Research Memorandum 017, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
  44. Baldi, Lucia & Peri, Massimo & Vandone, Daniela, 2014. "Clean energy industries and rare earth materials: Economic and financial issues," Energy Policy, Elsevier, vol. 66(C), pages 53-61.
  45. Yifeng Yan & Ju'e Guo, 2015. "The Sovereign Yield Curve and the Macroeconomy in China," Pacific Economic Review, Wiley Blackwell, vol. 20(3), pages 415-441, August.
  46. Gong, Yuting & He, Zhongzhi & Xue, Wenjun, 2022. "EPU spillovers and stock return predictability: A cross-country study," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
  47. Fernandez-Perez, Adrian & Fernández-Rodríguez, Fernando & Sosvilla-Rivero, Simón, 2014. "The term structure of interest rates as predictor of stock returns: Evidence for the IBEX 35 during a bear market," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 21-33.
  48. N. Baba & Y. Sakurai, 2011. "Predicting regime switches in the VIX index with macroeconomic variables," Applied Economics Letters, Taylor & Francis Journals, vol. 18(15), pages 1415-1419.
  49. Coble, David & Pincheira, Pablo, 2017. "Nowcasting Building Permits with Google Trends," MPRA Paper 76514, University Library of Munich, Germany.
  50. Johannes Hauptmann & Anja Hoppenkamps & Aleksey Min & Franz Ramsauer & Rudi Zagst, 2014. "Forecasting market turbulence using regime-switching models," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(2), pages 139-164, May.
  51. Kurov, Alexander, 2010. "Investor sentiment and the stock market's reaction to monetary policy," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 139-149, January.
  52. Massimo PERI & Daniela VANDONE & Lucia BALDI, 2014. "Water, Food, Energy: Searching for the Economic Nexus," Departmental Working Papers 2014-03, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  53. Markwat, Thijs & Kole, Erik & van Dijk, Dick, 2009. "Contagion as a domino effect in global stock markets," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 1996-2012, November.
  54. Vasilios Plakandaras & Juncal Cunado & Rangan Gupta & Mark E. Wohar, 2016. "Do Leading Indicators Forecast U.S. Recessions? A Nonlinear Re-Evaluation Using Historical Data," Working Papers 201685, University of Pretoria, Department of Economics.
  55. Nippani, Srinivas & Smith, Stanley D., 2010. "The increasing default risk of US Treasury securities due to the financial crisis," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2472-2480, October.
  56. Plastun, Alex & Bouri, Elie & Gupta, Rangan & Ji, Qiang, 2022. "Price effects after one-day abnormal returns in developed and emerging markets: ESG versus traditional indices," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
  57. Fatemi, Ali & Fooladi, Iraj & Zhao, Yonggan & Ma, Zongming, 2024. "On the superior performance of SRI funds," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 567-581.
  58. Julian, Inchauspe & Helen, Cabalu, 2013. "What Drives the Shanghai Stock Market? An Examination of its Linkage to Macroeconomic Fundamentals," MPRA Paper 93049, University Library of Munich, Germany.
  59. 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).
  60. Ahmed, Walid M.A., 2020. "Corruption and equity market performance: International comparative evidence," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
  61. Naser, Hanan & Alaali, Fatema, 2015. "Can Oil Prices Help Predict US Stock Market Returns: An Evidence Using a DMA Approach," MPRA Paper 65295, University Library of Munich, Germany, revised 25 Jun 2015.
  62. Smimou, K. & Khallouli, W., 2016. "On the intensity of liquidity spillovers in the Eurozone," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 388-405.
  63. Borjigin, Sumuya & Yang, Yating & Yang, Xiaoguang & Sun, Leilei, 2018. "Econometric testing on linear and nonlinear dynamic relation between stock prices and macroeconomy in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 107-115.
  64. Ralph Yang-Cheng Lu & Hsiu-Chuan Lee & Peter Chiu, 2014. "Institutional Investor Sentiment and Market Returns: Evidence from the Taiwan Futures Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 140-167, December.
  65. Wu, Shue-Jen, 2023. "The role of the past long-run oil price changes in stock market," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 274-291.
  66. 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.
  67. Shue-Jen Wu & Wei-Ming Lee, 2012. "Predicting the U.S. bear stock market using the consumption-wealth ratio," Economics Bulletin, AccessEcon, vol. 32(4), pages 3174-3181.
  68. Xiao-Lin Li & Yi-Na Li & Lu Bai, 2019. "Stock Market Cycle and Business Cycle in China: Evidence from a Bootstrap Rolling Window Approach," Review of Economics & Finance, Better Advances Press, Canada, vol. 17, pages 35-50, August.
  69. King, Daniel & Botha, Ferdi, 2015. "Modelling stock return volatility dynamics in selected African markets," Economic Modelling, Elsevier, vol. 45(C), pages 50-73.
  70. Chengbo Fu, 2018. "Alpha Beta Risk and Stock Returns—A Decomposition Analysis of Idiosyncratic Volatility with Conditional Models," Risks, MDPI, vol. 6(4), pages 1-11, October.
  71. Hanan Naser & Fatema Alaali, 2018. "Can oil prices help predict US stock market returns? Evidence using a dynamic model averaging (DMA) approach," Empirical Economics, Springer, vol. 55(4), pages 1757-1777, December.
  72. Rebecca Stuart, 2022. "Stock Return Predictability before the First World War," IRENE Working Papers 22-02, IRENE Institute of Economic Research.
  73. Powell, John G. & Shi, Jing & Smith, Tom & Whaley, Robert E., 2009. "Political regimes, business cycles, seasonalities, and returns," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1112-1128, June.
  74. Wu, Shue-Jen & Lee, Wei-Ming, 2015. "Predicting severe simultaneous bear stock markets using macroeconomic variables as leading indicators," Finance Research Letters, Elsevier, vol. 13(C), pages 196-204.
  75. Wang, Fang & Gacesa, Marko, 2023. "Semi-strong efficient market of Bitcoin and Twitter: An analysis of semantic vector spaces of extracted keywords and light gradient boosting machine models," International Review of Financial Analysis, Elsevier, vol. 88(C).
  76. Long, Huaigang & Zaremba, Adam & Zhou, Wenyu & Bouri, Elie, 2022. "Macroeconomics matter: Leading economic indicators and the cross-section of global stock returns," Journal of Financial Markets, Elsevier, vol. 61(C).
  77. Azmi, Wajahat & Mohamad, Shamsher & Shah, Mohamed Eskandar, 2020. "Ethical investments and financial performance: An international evidence," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
  78. Chen, Zhongdong & Daves, Phillip R., 2018. "The January sentiment effect in the U.S. stock market," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 94-104.
  79. Das, Mahamitra & Kundu, Srikanta & Sarkar, Nityananda, 2019. "Mean and Volatility Spillovers between REIT and Stocks Returns A STVAR-BTGARCH-M Model," MPRA Paper 94707, University Library of Munich, Germany.
  80. Smimou, K. & Bosch, D. & Filbeck, G., 2024. "Commodities and Policy Uncertainty Channel(s)," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 351-379.
  81. Seema Narayan, 2019. "The Influence of Domestic and Foreign Shocks on Portfolio Diversification Gains and the Associated Risks," JRFM, MDPI, vol. 12(4), pages 1-26, October.
  82. Kang, Jangkoo & Kim, Tong Suk & Lee, Changjun & Min, Byoung-Kyu, 2011. "Macroeconomic risk and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3158-3173.
  83. Anastasia Petraki & Anna Zalewska, 2013. "With whom and in what is it better to save? Personal pensions in the UK," The Centre for Market and Public Organisation 13/304, The Centre for Market and Public Organisation, University of Bristol, UK.
  84. Arisoy, Yakup Eser, 2010. "Volatility risk and the value premium: Evidence from the French stock market," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 975-983, May.
  85. Si, Deng-Kui & Liu, Xi-Hua & Kong, Xianli, 2019. "The comovement and causality between stock market cycle and business cycle in China: Evidence from a wavelet analysis," Economic Modelling, Elsevier, vol. 83(C), pages 17-30.
  86. Bradrania, Reza & Pirayesh Neghab, Davood, 2021. "State-dependent asset allocation using neural networks," MPRA Paper 115254, University Library of Munich, Germany.
  87. Sven Fürth & Christian Rauch, 2015. "Fare Thee Well? An Analysis of Buyout Funds’ Exit Strategies," Financial Management, Financial Management Association International, vol. 44(4), pages 811-849, October.
  88. Endres, Sylvia & Stübinger, Johannes, 2018. "A flexible regime switching model with pairs trading application to the S&P 500 high-frequency stock returns," FAU Discussion Papers in Economics 07/2018, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
  89. Martha Cecilia García & Aura María Jalal & Luis Alfonso Garzón & Jorge Mario López, 2013. "Métodos para predecir índices Bursátiles," Revista Ecos de Economía, Universidad EAFIT, December.
  90. Aliyu, Shehu Usman Rano & Aminu, Abubakar Wambai, 2018. "Economic regimes and stock market performance in Nigeria: Evidence from regime switching model," MPRA Paper 91430, University Library of Munich, Germany, revised 03 Oct 2018.
  91. Al-Anaswah, Nael & Wilfling, Bernd, 2011. "Identification of speculative bubbles using state-space models with Markov-switching," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1073-1086, May.
  92. Seung Woog (Austin) Kwag & Sang Whi Lee, 2012. "Innovative value indicators: Firm specific versus macroeconomic," Journal of Asset Management, Palgrave Macmillan, vol. 13(5), pages 339-347, October.
  93. Kae‐Yih Tzeng, 2023. "The ability of U.S. macroeconomic variables to predict Asian financial market returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3529-3551, October.
  94. Abdorasoul Sadeghi & Hussein Marzban & Ali Hussein Samadi & Karim Azarbaiejani & Parviz Rostamzadeh, 2022. "Financial intermediaries and speculation in the foreign exchange market: the role of monetary policy in Iran’s economy," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-26, December.
  95. Zhibing Li & Jie Liu & Xiaoyu Liu & Chonglin Wu, 2024. "Investor attention and stock price efficiency: Evidence from quasi‐natural experiments in China," Financial Management, Financial Management Association International, vol. 53(1), pages 175-225, March.
  96. Bekhet, Hussain Ali & Al-Smadi, Raed Walid, 2015. "Determinants of Jordanian foreign direct investment inflows: Bounds testing approach," Economic Modelling, Elsevier, vol. 46(C), pages 27-35.
  97. Pan, Wei-Fong, 2018. "Does the stock market really cause unemployment? A cross-country analysis," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 34-43.
  98. Nyberg, Henri, 2013. "Predicting bear and bull stock markets with dynamic binary time series models," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3351-3363.
  99. Nan-Kuang Chen & Han-Liang Cheng & Ching-Sheng Mao, 2014. "Identifying and forecasting house prices: a macroeconomic perspective," Quantitative Finance, Taylor & Francis Journals, vol. 14(12), pages 2105-2120, December.
  100. Fromentin, Vincent, 2022. "Time-varying causality between stock prices and macroeconomic fundamentals: Connection or disconnection?," Finance Research Letters, Elsevier, vol. 49(C).
  101. Chen, Nan-Kuang & Chen, Shiu-Sheng & Chou, Yu-Hsi, 2017. "Further evidence on bear market predictability: The role of the external finance premium," International Review of Economics & Finance, Elsevier, vol. 50(C), pages 106-121.
  102. Chien-Chiang Lee & Mei-Ping Chen & Kuan-Mien Hsieh, 2012. "Industry herding and market states: evidence from Chinese stock markets," Quantitative Finance, Taylor & Francis Journals, vol. 13(7), pages 1091-1113, October.
  103. Fang Wang & Marko Gacesa, 2024. "Semi-strong Efficient Market of Bitcoin and Twitter: an Analysis of Semantic Vector Spaces of Extracted Keywords and Light Gradient Boosting Machine Models," Papers 2409.15988, arXiv.org.
  104. Henry, Ólan T., 2009. "Regime switching in the relationship between equity returns and short-term interest rates in the UK," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 405-414, February.
  105. 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.
  106. Esra Nazmiye KILCI, 2020. "Forecasting Stock Market Indices with the Composite Leading Indicators: Evidence from Turkey," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(43).
  107. Tzu-Pu Chang & Yu-Cheng Chang & Po-Ching Chou, 2022. "The Trend is Your Friend: A Note on An Ensemble Learning Approach to Finding It," Bulletin of Applied Economics, Risk Market Journals, vol. 9(1), pages 19-25.
  108. Peter Hieber, 2018. "Pricing exotic options in a regime switching economy: a Fourier transform method," Review of Derivatives Research, Springer, vol. 21(2), pages 231-252, July.
  109. Li, Wei-Xuan & Chen, Clara Chia-Sheng & French, Joseph J., 2015. "Toward an early warning system of financial crises: What can index futures and options tell us?," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 87-99.
  110. Hui HONG & Shulin XU & Chien-Chiang LEE, 2020. "Investor Herding in the China Stock Market: An Examination of ChiNext," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 47-61, December.
  111. Lee, Bong Soo, 2010. "Stock returns and inflation revisited: An evaluation of the inflation illusion hypothesis," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1257-1273, June.
  112. Lin, Tiantian & Liu, Dehong & Zhang, Lili & Lung, Peter, 2019. "The information content of realized volatility of sector indices in China’s stock market," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 625-640.
  113. Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Discussion Papers 46/2020, Deutsche Bundesbank.
  114. Lucia BALDI & Massimo PERI & Daniela VANDONE, 2013. "Clean Energy Industries and Rare Earth Materials: Economic and Financial Issues," Departmental Working Papers 2013-07, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  115. Wan, Shui Ki & Song, Haiyan, 2018. "Forecasting turning points in tourism growth," Annals of Tourism Research, Elsevier, vol. 72(C), pages 156-167.
  116. Babajide Abiola Ayopo & Lawal Adedoyin Isola & Somoye Russel Olukayode, 2016. "Stock Market Volatility: Does Our Fundamentals Matter?," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 33-42.
  117. Chevallier, Julien, 2012. "Global imbalances, cross-market linkages, and the financial crisis: A multivariate Markov-switching analysis," Economic Modelling, Elsevier, vol. 29(3), pages 943-973.
  118. Smimou, K., 2014. "Consumer attitudes, stock market liquidity, and the macro economy: A Canadian perspective," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 186-209.
  119. Narayan, Seema & Doytch, Nadia & Nguyen, Tri Tung & Kluegel, Karl, 2016. "Trade of goods and services and risk sharing ability in international equity markets: Are these substitutes or complements?," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 485-503.
  120. Patrick De lamirande & Jason Stevens, 2016. "Predicting events with an unidentified time horizon," Economics Bulletin, AccessEcon, vol. 36(2), pages 729-735.
  121. Shiu-Sheng Chen, 2012. "Consumer confidence and stock returns over market fluctuations," Quantitative Finance, Taylor & Francis Journals, vol. 12(10), pages 1585-1597, October.
  122. Hanna, Alan J., 2018. "A top-down approach to identifying bull and bear market states," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 93-110.
  123. Kundu, Srikanta & Sarkar, Nityananda, 2016. "Return and volatility interdependences in up and down markets across developed and emerging countries," Research in International Business and Finance, Elsevier, vol. 36(C), pages 297-311.
  124. M. Escobar & D. Neykova & R. Zagst, 2017. "HARA utility maximization in a Markov-switching bond–stock market," Quantitative Finance, Taylor & Francis Journals, vol. 17(11), pages 1715-1733, November.
  125. Tratkowski Grzegorz, 2020. "Identification of nonlinear determinants of stock indices derived by Random Forest algorithm," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 56(3), pages 209-217, September.
  126. Gert Elaut & Michael Frömmel & Alexander Mende, 2017. "Duration Dependence, Behavioral Restrictions, and the Market Timing Ability of Commodity Trading Advisors," International Review of Finance, International Review of Finance Ltd., vol. 17(3), pages 427-450, September.
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