From the Back Cover
This book is a simple and concise text on the subject of security analysis and portfolio management. It is targeted towards those who do not have prior background in finance, and hence the text veers away from rather complicated formulations and discussions. The course 'Security Analysis and Portfolio Management' is usually taught as an elective for students specialising in financial management, and the authors have an experience of teaching this course for more than two decades. The book contains real empirical evidence and examples in terms of returns, risk and price multiples from the Indian equity markets (over the past two decades) that are a result of the analysis undertaken by the authors themselves. This empirical evidence and analysis help the reader in understanding basic concepts through real data of the Indian stock market. To drive home concepts, each chapter has many illustrations and case-lets citing real-life examples and sections called 'points to ponder' to encourage independent thinking and critical examination. For practice, each chapter has many numericals, questions, and assignments
Prof. Shveta Singh is a Professor and the Area Chair of Finance at the Department of Management Studies (DMS), Indian Institute of Technology (IIT Delhi), India. She is also the co-coordinator of the National Centre on Corporate Governance (accredited by the National Foundation on Corporate Governance (NFCG)) at DMS. She teaches courses like entrepreneurial finance, management accounting and financial management, Indian financial system, security analysis and portfolio management, professional ethics, corporate governance & CSR. She has contributed to various research and consulting assignments for Government of India and international organizations. Overall, she has nearly two decades of professional experience, having spent three years in the corporate sector prior to joining academics. She has published nearly 100 research papers in journals and conferences of national and international repute. She has co-authored three research monographs, two of which were published by Springer: (i) "Cash Dividend and Shares Repurchase Announcements: Impact on Returns, Liquidity and Risk in the Indian Context"; (ii) "Financial Management Practices: An Empirical Study of Indian Corporates"; (iii) "Equity Market in India: Returns, Risk and Price Multiples". She has been honoured by the "Leadership" award, which she accepted on behalf of IIT Delhi from the Institute of Business and Finance Research at the Global Conference on Business and Finance in USA. She has also won the "Best in Session" award at the same conference. She has also been honoured twice with the "Literati" award for outstanding research by Emerald Publishing Inc. She has also received a mention for the "Most Downloaded Paper", published in the Journal of Advances in Management Research.
Prof. Surendra S. Yadav received his Bachelor of Technology (B. Tech.) from Indian Institute of Technology (I.I.T.) Kanpur, MBA from University of Delhi, DESS (equivalent to M.Phil.) from University of Paris and Ph.D. in management from University of Paris 1 Pantheon-Sorbonne, France. He teaches corporate finance, international finance, international business, and security analysis & portfolio management. His research interests are in all these areas and general management. He has been delivering lectures at various institutions in India as well as abroad. He has been visiting professor at University of Paris, INSEEC Paris, Paris School of Management and at University of Tampa, Florida, USA. Prof. Surendra S. Yadav has published fourteen books - thirteen in areas of finance and international finance in English and one on India in French. He has guided 23 Ph.Ds. He has published 180 research papers in research journals. He has contributed more than 125 papers in academic conferences and four chapters in edited books. Besides, he has published about three dozen articles in financial/economic newspapers. He is editor-in-chief of the Journal of Advances in Management Research (JAMR).
