422,72 €
469,69 €
-10% with code: EXTRA
January Effect and Other Seasonal Anomalies
January Effect and Other Seasonal Anomalies
422,72
469,69 €
  • We will send in 10–14 business days.
This book applies John Maynard Keynes' theory of investor liquidity preferences to the examination of the stock market literature on the January effect and other seasonal anomalies. Keynes' theory provides a common theoretical framework and represents a paradigm shift for the examination of all seasonals. An extensive literature review is provided along with identification and empirical examinations of the intergenerational transfers hypothesis, special closings of the New York Stock Exchange,…
469.69
  • Publisher:
  • ISBN-10: 0762305525
  • ISBN-13: 9780762305520
  • Format: 15.6 x 23.4 x 2.1 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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This book applies John Maynard Keynes' theory of investor liquidity preferences to the examination of the stock market literature on the January effect and other seasonal anomalies. Keynes' theory provides a common theoretical framework and represents a paradigm shift for the examination of all seasonals. An extensive literature review is provided along with identification and empirical examinations of the intergenerational transfers hypothesis, special closings of the New York Stock Exchange, tax (estimated tax) payment effects, and an historical/contemporary retail merchandising industry seasonal. Databases used for empirical tests include the Stock Index and Market Seasonals (SIMS) database, the Cowles Index and contemporary Standards and Poor's counterparts, and the Internal Revenue Service's Statistic of Income public use file.

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  • Publisher:
  • ISBN-10: 0762305525
  • ISBN-13: 9780762305520
  • Format: 15.6 x 23.4 x 2.1 cm, kieti viršeliai
  • Language: English English

This book applies John Maynard Keynes' theory of investor liquidity preferences to the examination of the stock market literature on the January effect and other seasonal anomalies. Keynes' theory provides a common theoretical framework and represents a paradigm shift for the examination of all seasonals. An extensive literature review is provided along with identification and empirical examinations of the intergenerational transfers hypothesis, special closings of the New York Stock Exchange, tax (estimated tax) payment effects, and an historical/contemporary retail merchandising industry seasonal. Databases used for empirical tests include the Stock Index and Market Seasonals (SIMS) database, the Cowles Index and contemporary Standards and Poor's counterparts, and the Internal Revenue Service's Statistic of Income public use file.

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