Open Access. Powered by Scholars. Published by Universities.®
Portfolio and Security Analysis Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- The British University in Egypt (3)
- Claremont Colleges (2)
- Dakota State University (2)
- Montclair State University (2)
- Universitas Indonesia (2)
-
- University for Business and Technology in Kosovo (2)
- University of Nebraska - Lincoln (2)
- American University in Cairo (1)
- Binghamton University (1)
- Brigham Young University (1)
- Dartmouth College (1)
- Murray State University (1)
- Old Dominion University (1)
- Sacred Heart University (1)
- Sotheby's Institute of Art (1)
- Southern Methodist University (1)
- Thomas Jefferson University (1)
- University of Arkansas, Fayetteville (1)
- University of Louisiana at Lafayette (1)
- University of Nevada, Las Vegas (1)
- University of New Hampshire (1)
- University of Texas at Arlington (1)
- Utah State University (1)
- Keyword
-
- Agent-based model (3)
- Machine Learning (3)
- Artificial Intelligence (2)
- Cryptocurrency (2)
- Data Science (2)
-
- Fractal structure (2)
- Loss aversion (2)
- Simulation analysis (2)
- AI Integration (1)
- AI Readiness (1)
- ARIMA (1)
- Acconting (1)
- Algorithmic trading (1)
- Algorithms (1)
- Alternative Investments (1)
- Art investment (1)
- ArtVest (1)
- Artificial Intelligence; Supply Chain Management; Capability Maturity Model; AI Integration; AI Readiness; Design Science Research; Delphi Method; Supply Chain Analytics; Supply Chain Resilience; Organizational Capability (1)
- Audit (1)
- BNSF (1)
- Bioinformatics (1)
- Bitcoin (1)
- Blockchain; Strategy; Bitcoin; Distributed Ledger; Technology; Bubble (1)
- Bounded rationality (1)
- Business (1)
- Business. (1)
- COVID (1)
- COVID-19 (1)
- COVID-19 impact; exchange-traded funds; investment strategy; options trading; performance analysis; risk-return trade-off (1)
- CSAD (1)
- Publication Year
- Publication
-
- Business Administration (3)
- CMC Senior Theses (2)
- Honors Program: Senior Projects (Public) (2)
- International Journal of Business and Technology (2)
- The Indonesian Capital Market Review (2)
-
- 2024 Spring Honors Capstone Projects - Archive (1)
- All Graduate Plan B and other Reports, Spring 1920 to Spring 2023 (1)
- Annual Research Symposium (1)
- Computer Science Senior Theses (1)
- Department of Accounting and Finance Faculty Scholarship and Creative Works (1)
- Department of Information Management and Business Analytics Faculty Scholarship and Creative Works (1)
- Dissertations (1)
- Finance Undergraduate Honors Theses (1)
- Honors College Theses (1)
- Honors Theses and Capstones (1)
- Information Technology & Decision Sciences Faculty Publications (1)
- MA Projects (1)
- Marriott Student Review (1)
- Northeast Journal of Complex Systems (NEJCS) (1)
- Policy Briefs and Reports (1)
- SMU Data Science Review (1)
- School of Business Faculty Papers (1)
- School of Computing and Informatics (1)
- Theses and Dissertations (1)
- WCBT Faculty Publications (1)
- Publication Type
Articles 31 - 31 of 31
Full-Text Articles in Portfolio and Security Analysis
Using Van Valens Procedure In Business Research To Assess Consistent Differences In Multidimensional Variability In Two Or More Groups, Mark L. Berenson, Kimberly Killmer Hollister
Using Van Valens Procedure In Business Research To Assess Consistent Differences In Multidimensional Variability In Two Or More Groups, Mark L. Berenson, Kimberly Killmer Hollister
Department of Information Management and Business Analytics Faculty Scholarship and Creative Works
Much business research involves comparisons in two or more groups on many dimensions. This paper primarily focuses on demonstrating and providing guidance as to how researchers should approach a multivariate analysis in the comparison of sets of corresponding characteristics in two or more independent groups. In particular, this paper demonstrates the utility of a simple but not widely known procedure developed by Van Valen (1978) that should be employed to test for the significance of differences in overall variability in the sets of corresponding characteristics in two or more groups, a test that enjoys much statistical power in detecting significant …