@asci.org.in
Associate Professor and Faculty of Finance & Accounting
Administrative Staff College of India
Business, Management and Accounting, General Business, Management and Accounting, Economics, Econometrics and Finance, Finance
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Mohammed Mujahed Ali and Shaik Masood
University of Wollongong Library
The study delves into the dynamics of wealth creation for retail investors in the context of Initial Public Offerings (IPOs) within the Indian equity markets. Against the backdrop of a burgeoning retail investor base, the research offers a comprehensive analysis spanning April 2012 to December 2022, evaluating short-term and long-term IPO performance metrics. The study reveals nuanced insights into wealth creation dynamics by scrutinizing listing day returns, first-week to third-year returns, and market-adjusted returns vis-à-vis the Nifty50 Index. Notably, the research suggests that while IPOs exhibit promise with positive listing day returns, sustaining growth over extended horizons poses challenges. The hypothesis of inflation serving as a pragmatic hurdle rate for retail investors is explored, offering a novel perspective on wealth preservation. It also sheds light on the significant variability in the Real Rate of Returns (RRRs) among IPOs, with some contributing to wealth generation while others result in wealth erosion. This underscores the importance of retail investors carefully assessing and managing risks, emphasizing the need for prudent portfolio diversification and effective risk mitigation strategies, particularly over longer investment horizons.
Srinivasa Krishna, Mohammed Mujahed Ali, Shailesh Singh Thakur, and K. T. Vigneswara Rao
IGI Global
SThe industry 4.0 possesses the intelligent network and interrelation with components of production systems and provides the feedback digitally across the industrial supply chain. In last decade, the growth of industry 4.0 research is expanded across industries i.e. steel, oil, electricity pulp and paper industry. Supply Chain 4.0 is the system of the Internet of Things (IoT), which explores the advanced flexible operations, smart supply chain network, and the enhances the utility of smart analytics of big data in SCM i.e., introducing the sensors, wiles less network throughout supply chain, build the networks, and automate operations to considerably improve the performance and customer’s satisfaction. In this research paper, a green supply chain 4.0 multi level hierarchical model is established by considering the eleven green practices. The model is assisted by in centre of Centroid Method for ranking industry 4.0 industrial practices. The results are exhibited in conclusion section.
Mohammed Mujahed Ali
Diva Enterprises Private Limited