Cointegration and quantile regression: Some initial ideas and an exploratory study within the field of stock market common trends
Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning
Standard
Cointegration and quantile regression : Some initial ideas and an exploratory study within the field of stock market common trends. / Milhøj, Anders; la Cour, Lisbeth Funding.
Symposium i Anvendt Statistik 2012. Kbh. : Danmarks Statistik, 2012. s. 240-252.Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning
Harvard
Milhøj, A & la Cour, LF 2012, Cointegration and quantile regression: Some initial ideas and an exploratory study within the field of stock market common trends. i Symposium i Anvendt Statistik 2012. Danmarks Statistik, Kbh., s. 240-252.
APA
Milhøj, A., & la Cour, L. F. (2012). Cointegration and quantile regression: Some initial ideas and an exploratory study within the field of stock market common trends. I Symposium i Anvendt Statistik 2012 (s. 240-252). Danmarks Statistik.
Vancouver
Milhøj A, la Cour LF. Cointegration and quantile regression: Some initial ideas and an exploratory study within the field of stock market common trends. I Symposium i Anvendt Statistik 2012. Kbh.: Danmarks Statistik. 2012. s. 240-252
Author
Bibtex
@inbook{6afb42b6d08b4466a923aea2bd96faaf,
title = "Cointegration and quantile regression: Some initial ideas and an exploratory study within the field of stock market common trends",
author = "Anders Milh{\o}j and {la Cour}, {Lisbeth Funding}",
year = "2012",
language = "English",
isbn = "9788750119753",
pages = "240--252",
booktitle = "Symposium i Anvendt Statistik 2012",
publisher = "Danmarks Statistik",
}
RIS
TY - CHAP
T1 - Cointegration and quantile regression
T2 - Some initial ideas and an exploratory study within the field of stock market common trends
AU - Milhøj, Anders
AU - la Cour, Lisbeth Funding
PY - 2012
Y1 - 2012
M3 - Book chapter
SN - 9788750119753
SP - 240
EP - 252
BT - Symposium i Anvendt Statistik 2012
PB - Danmarks Statistik
CY - Kbh.
ER -
ID: 37431909