Forecasting stock returns: the role of VIX-based upper and lower shadow of Japanese candlestick
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DOI: 10.1186/s40854-024-00682-8
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- Kenneth A. Kavajecz, 2004. "Technical Analysis and Liquidity Provision," The Review of Financial Studies, Society for Financial Studies, vol. 17(4), pages 1043-1071.
- Pettenuzzo, Davide & Timmermann, Allan & Valkanov, Rossen, 2014.
"Forecasting stock returns under economic constraints,"
Journal of Financial Economics, Elsevier, vol. 114(3), pages 517-553.
- Davide Pettenuzzo & Allan Timmermann & Rossen Valkanov, 2013. "Forecasting Stock Returns under Economic Constraints," Working Papers 57, Brandeis University, Department of Economics and International Business School.
- Timmermann, Allan & Pettenuzzo, Davide & Valkanov, Rossen, 2013. "Forecasting Stock Returns under Economic Constraints," CEPR Discussion Papers 9377, C.E.P.R. Discussion Papers.
- Zhu, Xiaoneng & Zhu, Jie, 2013. "Predicting stock returns: A regime-switching combination approach and economic links," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4120-4133.
- Dashan Huang & Fuwei Jiang & Jun Tu & Guofu Zhou, 2015.
"Investor Sentiment Aligned: A Powerful Predictor of Stock Returns,"
The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 791-837.
- Dashan Huang & Fuwei Jiang & Jun Tu & Guofu Zhou, 2015. "Investor Sentiment Aligned: A Powerful Predictor of Stock Returns," CEMA Working Papers 676, China Economics and Management Academy, Central University of Finance and Economics.
- Narayan, Paresh Kumar & Ahmed, Huson Ali & Narayan, Seema, 2017. "Can investors gain from investing in certain sectors?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 160-177.
- Wang, Yudong & Pan, Zhiyuan & Wu, Chongfeng & Wu, Wenfeng, 2020. "Industry equi-correlation: A powerful predictor of stock returns," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 1-24.
- Hamilton, James D & Gang, Lin, 1996. "Stock Market Volatility and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 573-593, Sept.-Oct.
- Dangl, Thomas & Halling, Michael, 2012. "Predictive regressions with time-varying coefficients," Journal of Financial Economics, Elsevier, vol. 106(1), pages 157-181.
- 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.
- Miguel A. Ferreira & Pedro Santa-Clara, 2008. "Forecasting Stock Market Returns: The Sum of the Parts is More than the Whole," NBER Working Papers 14571, National Bureau of Economic Research, Inc.
- Clark, Todd E. & West, Kenneth D., 2007.
"Approximately normal tests for equal predictive accuracy in nested models,"
Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
- 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.
- Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2010. "Out-of-sample equity premium prediction: economic fundamentals vs. moving-average rules," Working Papers 2010-008, Federal Reserve Bank of St. Louis.
- Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2011. "Forecasting the Equity Risk Premium: The Role of Technical Indicators," Working Papers CoFie-02-2011, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- repec:bla:jfinan:v:44:y:1989:i:5:p:1115-53 is not listed on IDEAS
- Zhang, Yaojie & Wei, Yu & Ma, Feng & Yi, Yongsheng, 2019. "Economic constraints and stock return predictability: A new approach," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 1-9.
- Dai, Zhifeng & Zhou, Huiting & Kang, Jie & Wen, Fenghua, 2021. "The skewness of oil price returns and equity premium predictability," Energy Economics, Elsevier, vol. 94(C).
- 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.
- Qadan, Mahmoud & Kliger, Doron & Chen, Nir, 2019. "Idiosyncratic volatility, the VIX and stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 431-441.
- Chen, Shi & Bao, Si & Zhou, Yu, 2016. "The predictive power of Japanese candlestick charting in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 148-165.
- Jiang, Fuwei & Lee, Joshua & Martin, Xiumin & Zhou, Guofu, 2019.
"Manager sentiment and stock returns,"
Journal of Financial Economics, Elsevier, vol. 132(1), pages 126-149.
- Fuwei Jiang & Joshua Lee & Xiumin Martin & Guofu Zhou, 2019. "Manager sentiment and stock returns," CEMA Working Papers 677, China Economics and Management Academy, Central University of Finance and Economics.
- Bryan Kelly & Seth Pruitt, 2013. "Market Expectations in the Cross-Section of Present Values," Journal of Finance, American Finance Association, vol. 68(5), pages 1721-1756, October.
- Chiang, I-Hsuan Ethan & Hughen, W. Keener, 2017. "Do oil futures prices predict stock returns?," Journal of Banking & Finance, Elsevier, vol. 79(C), pages 129-141.
- 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.
- Campbell, John & Thompson, Samuel P., 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," Scholarly Articles 2622619, Harvard University Department of Economics.
- Mazza, Paolo, 2015.
"Price dynamics and market liquidity: An intraday event study on Euronext,"
The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 139-153.
- Paolo Mazza, 2015. "Price dynamics and market liquidity: An intraday event study on Euronext," Post-Print hal-01563014, HAL.
- Driesprong, Gerben & Jacobsen, Ben & Maat, Benjamin, 2008. "Striking oil: Another puzzle?," Journal of Financial Economics, Elsevier, vol. 89(2), pages 307-327, August.
- Rapach, David E. & Ringgenberg, Matthew C. & Zhou, Guofu, 2016.
"Short interest and aggregate stock returns,"
Journal of Financial Economics, Elsevier, vol. 121(1), pages 46-65.
- David E. Rapach & Matthew C. Ringgenberg & Guofu Zhou, 2016. "Short interest and aggregate stock returns," CEMA Working Papers 716, China Economics and Management Academy, Central University of Finance and Economics.
- Robert F. Stambaugh & Jianfeng Yu & Yu Yuan, 2015.
"Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle,"
Journal of Finance, American Finance Association, vol. 70(5), pages 1903-1948, October.
- Robert F. Stambaugh & Jianfeng Yu & Yu Yuan, 2012. "Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle," NBER Working Papers 18560, National Bureau of Economic Research, Inc.
- Newey, Whitney & West, Kenneth, 2014.
"A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix,"
Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
- Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-708, May.
- Whitney K. Newey & Kenneth D. West, 1986. "A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix," NBER Technical Working Papers 0055, National Bureau of Economic Research, Inc.
- Lu, Tsung-Hsun, 2014. "The profitability of candlestick charting in the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 65-78.
- Dai, Zhifeng & Zhou, Huiting & Wen, Fenghua & He, Shaoyi, 2020. "Efficient predictability of stock return volatility: The role of stock market implied volatility," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
- Sarwar, Ghulam, 2012. "Is VIX an investor fear gauge in BRIC equity markets?," Journal of Multinational Financial Management, Elsevier, vol. 22(3), pages 55-65.
- David E. Rapach & Jack K. Strauss & Guofu Zhou, 2010. "Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 821-862, February.
- Tsung‐Hsun Lu & Yung‐Ming Shiu & Tsung‐Chi Liu, 2012. "Profitable candlestick trading strategies—The evidence from a new perspective," Review of Financial Economics, John Wiley & Sons, vol. 21(2), pages 63-68, April.
- Wang, Yudong & Pan, Zhiyuan & Liu, Li & Wu, Chongfeng, 2019. "Oil price increases and the predictability of equity premium," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 43-58.
- Jian Liu & Ziting Zhang & Lizhao Yan & Fenghua Wen, 2021. "Forecasting the volatility of EUA futures with economic policy uncertainty using the GARCH-MIDAS model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
- Lin, Qi, 2018. "Technical analysis and stock return predictability: An aligned approach," Journal of Financial Markets, Elsevier, vol. 38(C), pages 103-123.
- Zhu, Min & Atri, Said & Yegen, Eyub, 2016. "Are candlestick trading strategies effective in certain stocks with distinct features?," Pacific-Basin Finance Journal, Elsevier, vol. 37(C), pages 116-127.
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Keywords
Stock returns; The Japanese candlestick; CBOE volatility index fundamental predictors;All these keywords.
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