Research Interests: Nonlinear Time Series Analysis, Long Memory, Adaptive Market Hypothesis.
Vinodh Madhavan currently serves as an Associate Professor at Amrut Mody School of Management, Ahmedabad University. Prior to this assignment, Vinodh Madhavan served as an Associate Professor at Finance & Accounting Area, IFMR Graduate School of Business, Krea University; as an Assistant Professor at IMT Ghaziabad, IIM Lucknow; and as an Assistant Professor on Tenure-Track in the Finance & Accounting Area at Vinod Gupta School of Management, Indian Institute of Technology Kharagpur. Vinodh Madhavan successfully completed the Doctor of Business Administration program at Golden Gate University, San Francisco in Dec '09. Based on faculty recommendations, he was awarded the “2009–2010 Outstanding Graduate Student — Doctor of Business Administration” Award, by the Dean of Ageno School of Business, Golden Gate University. Subsequent to his doctoral days, Vinodh served briefly as an Adjunct Faculty at the Department of Finance & Economics, Golden Gate University and as a Malcolm S. M. Watts III Research Fellow at Technical Securities Analysts Association of San Francisco. Since the completion of his doctoral degree, Vinodh has taught courses such as Financial Reporting & Analysis, Introduction to Financial Management, Corporate Finance, Security Analysis and Portfolio Management, Financial Markets and Institutions, Derivatives and Risk Management, Business Valuation, Mergers Acquisitions and Corporate Restructuring, Fixed Income Securities, and Time Series Modelling in Financial Markets, to a wide variety of audience that includes MBA candidates (with/without prior work experience), Practitioners, and Peers in Academia and Industry. Prior to pursuing his doctoral degree at GGU, Vinodh served in a managerial position for two years at Godrej & Boyce Mfg. Co. Ltd, India, where he was responsible for after-sales service delivery mechanism and day-to-day supply chain management. He also holds a Bachelor’s degree in Electrical and Electronics Engineering and an MBA in Manufacturing and Operations Management.
My research endeavors are geared towards examining market (in) efficiency from an asset pricing perspective. To be precise, my prior works have examined aspects such as long memory, nonlinear serial dependence and low dimensional chaos in asset classes such as Exchange Traded Funds, Credit Default Swaps, and dually-listed shares. While long memory and nonlinear serial dependence have played an instrumental role in re-examining and disputing market efficiency, the overarching theory/philosophy that has and continues to have a huge impact on the way I look at the markets in general and investor behavior in particular across asset classes is Adaptive Market Hypothesis (AMH). AMH offers an intellectual framework that aids in reconciling opposing perspectives on market efficiency that are held by proponents of efficiency (the so-called fundamentalists) and the opponents (the so-called behaviouralists) of market efficiency. AMH borrows heavily from evolutionary biology and offers a gateway for researchers to overcome the fallacy of treating market efficiency as an all or nothing phenomenon. In addition, a prominent strand of literature on portfolio diversification that has also been of interest to me is the extent of integration/segmentation of stock markets pertaining to the emerging economies with the developed stock markets of the world. This issue is of practical relevance as international investors are constantly on the lookout for global avenues that offer better risk-adjusted returns. Looking back, my research endeavors have been quite interdisciplinary. To be specific, a large proportion of my prior published works involve application of methodologies pertaining to physical sciences and hydrology to answer empirical anomalies in financial and economic time series.