✦ LIBER ✦

Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory

✍ Scribed by Lo, A. W.; Wang, J.

Book ID: 121427827
Publisher: Oxford University Press
Year: 2000
Tongue: English
Weight: 430 KB
Volume: 13
Category: Article
ISSN: 0893-9454
DOI: 10.1093/rfs/13.2.257

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Portfolio Theory and Asset Indivisibilit

Portfolio Theory and Asset Indivisibility: Implications for Analysis of Risk Management

✍ Lindon J. Robison and Peter J. Barry 📂 Article 📅 1980 🏛 Blackwell Publishing ⚖ 813 KB

Discussion of “trading volume theories a

Discussion of “trading volume theories and their implications for empirical information content studies”

✍ JAMES A. OHLSON 📂 Article 📅 1989 🏛 Canadian Academic Accounting Association 🌐 English ⚖ 178 KB

Discussion of “Trading volume theories a

Discussion of “Trading volume theories and their implication for empirical information content studies”

✍ ROBERT E. VERRECCHIA 📂 Article 📅 1989 🏛 Canadian Academic Accounting Association 🌐 English ⚖ 156 KB

Liberalization of EU telecommunications

Liberalization of EU telecommunications and trade: theory, gravity equation analysis and policy implications

✍ Andre Jungmittag; Paul J. J. Welfens 📂 Article 📅 2009 🏛 Springer-Verlag 🌐 English ⚖ 203 KB

Analysis of variance for random models:

Analysis of variance for random models: theory, methods, applications, and data analysis Volume 2

✍ Hardeo Sahai, Mario M. Ojeda 📂 Library 📅 2004 🏛 Birkhäuser 🌐 English ⚖ 2 MB

Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today. In particular, ANOVA models involving random effects have found widespread application to experimental design in a variety of fields requiring measurements of

Handbook of Statistical Analysis and Dat

Handbook of Statistical Analysis and Data Mining Applications Volume 891 || History of Phases of Data Analysis, Basic Theory, and the Data Mining Process

✍ Nisbet, Robert 📂 Article 📅 2009 🏛 Elsevier 🌐 English ⚖ 31 KB

The *Handbook of Statistical Analysis and Data Mining Applications* is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook