The nature and determinants of comovement between developed,emerging and frontier equity markets: Europe versus Asia‐Pacific

International investors are increasingly attracted towards emerging and frontier markets because of their potential to enhance diversification benefits of a global portfolio. This calls for a rigorous analysis of the nature and determinants of stock market comovement between developed, emerging, and frontier markets in Europe and Asia‐Pacific regions. The findings suggest that unlike their Asia‐Pacific counterparts, European developed, emerging, and frontier stock markets display a higher degree of comovement. Although Asia‐Pacific frontier markets provide good diversification opportunities, investors must be cautioned against their weak financial system. The volatility of returns, gross domestic product growth rate, and the 2008 global financial crisis (GFC) are the key determinants of stock market comovement in Europe. The mechanisms by which comovement in the Asia‐Pacific region is strengthened differ across markets. Comparative analysis of comovement and its determinants across different classes of equity markets and geographies is expected to provide valuable perspectives to global investors, portfolio managers, and policymakers.     

Corporate Governance in India

The Indian corporate governance system has both supported and held back India's ascent to the top ranks of the world's economies. While on paper the country's legal system provides some of the best investor protection in the world, enforcement is a major problem, with overburdened courts and significant corruption. Ownership remains concentrated and family business groups continue to be the dominant business model, with significant pyramiding and evidence of tunneling activity that transfers cash flow and value from minority to controlling shareholders. But for all its shortcomings, Indian corporate governance has taken major steps toward becoming a system capable of inspiring confidence among institutional and, increasingly, foreign investors. The Securities and Exchanges Board of India (SEBI), which was established as part of the comprehensive economic reforms launched in 1991, has made considerable progress in becoming a rigorous regulatory regime that helps ensure transparency and fair practice. And the National Stock Exchange of India, also established as part of the reforms, now functions with enough efficiency and transparency to be generating the third‐largest number of trades in the world, just behind the NASDAQ and NYSE. Among more recent changes, the enactment of Sarbanes—Oxley type measures in 2004—which includes protections for minority shareholders in family‐ or “promoter”‐led businesses—has contributed to recent increases in institutional and foreign stock ownership. And while family‐ and government‐controlled business groups continue to be the rule, India has also seen the rise of successful companies like Infosys that are free of the influence of a dominant family or group and have made the individual shareholder their central governance focus.     

Sustaining Competitive Advantage Through Corporate Environmental Performance

This research investigates the relationship between a firm's environmental efforts and the sustainability of its competitive advantage by analyzing the effects of change in firm environmental performance on the persistence of profitability growth. We find that environmental resources allow a firm with superior financial performance to sustain its competitive advantage, and also complement the efforts of a poorly performing firm to hasten recovery from inferior financial performance. Our findings further indicate that firms attain such positive effects through enhanced profit margins resulting from improved environmental performance. Additionally, we observe that a corporate strategy of improving environmental performance demonstrates management's responsibility to maximize the shareholder wealth of a well‐performing firm. The results provide valuable insights to align environmental activities towards developing unique resources for sustaining the competitive advantage. The study provides an empirical support for creating economic value by benefiting the environment. Copyright © 2016 John Wiley & Sons, Ltd and ERP Environment     

Marketing strategy and the internet: An organizing framework

Competitive strategy is primarily concerned with how a business should deploy resources at its disposal to achieve and maintain defensible competitive positional advantages in the marketplace. Competitive marketing strategy focuses on how a business should deploy marketing resources at its disposal to facilitate the achievement and maintenance of competitive positional advantages in the marketplace. In a growing number of product-markets, the competitive landscape has evolved from a predominantly physical marketplace to one encompassing both the physical and the electronic marketplace. This article presents a conceptual framework delineating the drivers and outcomes of marketing strategy in the context of competing in this broader, evolving marketplace. The proposed framework provides insights into changes in the nature and scope of marketing strategy; specific industry, product, buyer, and buying environment characteristics; and the unique skills and resources of the firm that assume added relevance in the context of competing in the evolving marketplace. P. Rajan Varadarajan is a distinguished professor of marketing and the Ford chair in marketing and e-commerce in the Mays Business School at Texas A&M University. His research and teaching interests are in the areas of strategy and e-commerce. His research on corporate, business, and marketing strategyrelated issues has been published in theJournal of Marketing, Journal of the Academy of Marketing Science, Academy of Management Journal, Strategic Management Journal, and other leading journals. He is coauthor of a textbook titledContemporary Perspectives on Strategic Market Planning. Dr. Varadarajan served as editor of theJournal of Marketing from 1993 to 1996. He currently serves on the Board of Governors of the Academy of Marketing Science and as editor of theJournal of the Academy of Marketing Science. Manjit S. Yadav is an associate professor of marketing and Mays Faculty Fellow, Department of Marketing, Mays Business School, Texas A&M University. He obtained his Ph.D. in marketing from Virginia Tech. His research focuses on electronic commerce, firms’ pricing strategies, and consumers’ price perceptions. He has published in a number of journals, includingJournal of Marketing Research, Journal of Consumer Research, Journal of the Academy of Marketing Science, andSloan Management Review. He is a member of the Editorial Review Board of theJournal of the Academy of Marketing Science. At Texas A&M, Dr. Yadav developed and currently teaches a graduate course (Strategic Foundations of E-Commerce) dealing with the strategic challenges and opportunities in the emerging electronic marketplace. He served as cochair of the American Marketing Association’s 2001 Faculty Consortium on Electronic Commerce held at Texas A&M University.     

The information content of implied volatilities and model-free volatility expectations: Evidence from options written on individual stocks

We measure the volatility information content of stock options for individual firms using option prices for 149 US firms and the S&P 100 index. We use ARCH and regression models to compare volatility forecasts defined by historical stock returns, at-the-money implied volatilities and model-free volatility expectations for every firm. For 1-day-ahead estimation, a historical ARCH model outperforms both of the volatility estimates extracted from option prices for 36% of the firms, but the option forecasts are nearly always more informative for those firms that have the more actively traded options. When the prediction horizon extends until the expiry date of the options, the option forecasts are more informative than the historical volatility for 85% of the firms. However, at-the-money implied volatilities generally outperform the model-free volatility expectations.     

Profits and politics: Coordinating technology adoption in agriculture

This paper examines the political economy of government-led coordination of economic activity in a simple two-sector model in which individuals' choice of agricultural technology affects industrialization. We demonstrate the existence of multiple equilibria; the economy is either characterized by the use of a traditional agricultural technology and a low level of industrialization or the use of a mechanized technology and a high level of industrialization. Relative to the traditional technology, use of the mechanized technology increases output but leaves some population groups worse off. We show that the distributional implications of choosing the mechanized technology restrict the possibility of Pareto-improving coordination by an elected policy-maker, even when we allow for income redistribution.     

THRESHOLD AUTOREGRESSIVE MODELING IN FINANCE: THE PRICE DIFFERENCES OF EQUIVALENT ASSETS1

Threshold autoregressive (TAR) models condition the first moment of a time series on lagged information using a step-function-type nonlinear structure. TAR techniques are expected to be relevant in financial time-series modeling in situations where deviations of prices from equilibrium values depend on discrete transaction costs and where market regulators follow intervention rules based on threshold values of control variables. an important finance application is in modeling the difference in prices of equivalent assets in the presence of transaction costs. the focus of this paper is on motivating the use of TAR models in this context and on the statistical estimation and testing procedures. the procedures are illustrated by modeling the difference between the prices of an index futures contract and the equivalent underlying cash index. It is found that the hypothesis of linearity is conclusively rejected in favor of threshold nonlinearity and that the estimated thresholds are largely consistent with arbitrage-related transaction costs.