Bidirectional Relationship between Investor Sentiment and Excess Returns: New Evidence from the Wavelet Perspective
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- Martyna Marczak & Thomas Beissinger, 2016. "Bidirectional relationship between investor sentiment and excess returns: new evidence from the wavelet perspective," Applied Economics Letters, Taylor & Francis Journals, vol. 23(18), pages 1305-1311, December.
- Marczak, Martyna & Beissinger, Thomas, 2015. "Bidirectional relationship between investor sentiment and excess returns: New evidence from the wavelet perspective," Hohenheim Discussion Papers in Business, Economics and Social Sciences 06-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
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Cited by:
- Dash, Saumya Ranjan & Maitra, Debasish, 2018. "Does sentiment matter for stock returns? Evidence from Indian stock market using wavelet approach," Finance Research Letters, Elsevier, vol. 26(C), pages 32-39.
- Ngoc Bao Vuong, Yoshihisa Suzuki, 2020. "Does Fear has Stronger Impact than Confidence on Stock Returns?The Case of Asia-Pacific Developed Markets," Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi - Stiinte Economice, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 67, pages 157-175, July.
- Angeliki Skoura, 2019. "Detection of Lead-Lag Relationships Using Both Time Domain and Time-Frequency Domain; An Application to Wealth-To-Income Ratio," Economies, MDPI, vol. 7(2), pages 1-27, April.
- Ngoc Bao Vuong & Yoshihisa Suzuki, 2020. "Does Fear has Stronger Impact than Confidence on Stock Returns? The Case of Asia-Pacific Developed Markets," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 67(2), pages 157-175, June.
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JEL classification:
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
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