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Herding in Financial Markets During Internet Bubble
Herding in Financial Markets During Internet Bubble
97,10
107,89 €
  • We will send in 10–14 business days.
I analyze herding in one of the largest bull runs in the history of U.S. equity markets. Instead of providing a corrective stabilizing force, banks, insurance firms, investment companies, investment advisors, university endowments, hedge funds, and internally managed pension funds participated in herds in the rise and to a lesser extent in the fall of Internet stocks. Institutional investors' buying exerted upward price pressure, and the reversal of prices in the subsequent quarter provides evi…
107.89
  • Publisher:
  • ISBN-10: 3639181867
  • ISBN-13: 9783639181869
  • Format: 15.2 x 22.9 x 0.7 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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I analyze herding in one of the largest bull runs in the history of U.S. equity markets. Instead of providing a corrective stabilizing force, banks, insurance firms, investment companies, investment advisors, university endowments, hedge funds, and internally managed pension funds participated in herds in the rise and to a lesser extent in the fall of Internet stocks. Institutional investors' buying exerted upward price pressure, and the reversal of prices in the subsequent quarter provides evidence that the herding was destabilizing and not based on information. I also design and use two new methodologies to detect herding in NYSE stocks during the bubble period. I find that NYSE functions efficiently and shows no evidence of any meaningful herding in general. The seemingly contradictory results can be reconciled based on the different sample of stocks, and the different methodologies which are designed to detect different types of herding

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  • Author: Vivek Sharma
  • Publisher:
  • ISBN-10: 3639181867
  • ISBN-13: 9783639181869
  • Format: 15.2 x 22.9 x 0.7 cm, minkšti viršeliai
  • Language: English English

I analyze herding in one of the largest bull runs in the history of U.S. equity markets. Instead of providing a corrective stabilizing force, banks, insurance firms, investment companies, investment advisors, university endowments, hedge funds, and internally managed pension funds participated in herds in the rise and to a lesser extent in the fall of Internet stocks. Institutional investors' buying exerted upward price pressure, and the reversal of prices in the subsequent quarter provides evidence that the herding was destabilizing and not based on information. I also design and use two new methodologies to detect herding in NYSE stocks during the bubble period. I find that NYSE functions efficiently and shows no evidence of any meaningful herding in general. The seemingly contradictory results can be reconciled based on the different sample of stocks, and the different methodologies which are designed to detect different types of herding

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