113,57 €
126,19 €
-10% with code: EXTRA
Predictability of the Swiss Stock Market with Respect to Style
Predictability of the Swiss Stock Market with Respect to Style
113,57
126,19 €
  • We will send in 10–14 business days.
Patrick Scheurle investigates refined market segments such as small value stocks or large growth stocks with respect to return predictability. The empirical research reveals significant positive first-order serial correlation in the returns of large value stocks, large neutral stocks, small neutral stocks, and small growth stocks.
  • Publisher:
  • Year: 2010
  • Pages: 165
  • ISBN-10: 3834921912
  • ISBN-13: 9783834921918
  • Format: 14.8 x 21 x 1 cm, softcover
  • Language: English
  • SAVE -10% with code: EXTRA

Predictability of the Swiss Stock Market with Respect to Style (e-book) (used book) | bookbook.eu

Reviews

Description

Patrick Scheurle investigates refined market segments such as small value stocks or large growth stocks with respect to return predictability. The empirical research reveals significant positive first-order serial correlation in the returns of large value stocks, large neutral stocks, small neutral stocks, and small growth stocks.

EXTRA 10 % discount with code: EXTRA

113,57
126,19 €
We will send in 10–14 business days.

The promotion ends in 20d.23:33:10

The discount code is valid when purchasing from 10 €. Discounts do not stack.

Log in and for this item
you will receive 1,26 Book Euros!?
  • Author: Patrick Scheurle
  • Publisher:
  • Year: 2010
  • Pages: 165
  • ISBN-10: 3834921912
  • ISBN-13: 9783834921918
  • Format: 14.8 x 21 x 1 cm, softcover
  • Language: English English

Patrick Scheurle investigates refined market segments such as small value stocks or large growth stocks with respect to return predictability. The empirical research reveals significant positive first-order serial correlation in the returns of large value stocks, large neutral stocks, small neutral stocks, and small growth stocks.

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)