Option trading after the opening bell and intraday stock return predictability

Prior literature finds that information is reflected in option markets before stock markets, but no study has explored whether option volume soon after market open has predictive power for intraday stock returns. Using novel intraday signed option-to-stock volume data, we find that a composite option trading score (OTS) in the first 30 min of market open predicts stock returns during the rest of the trading day. Such return predictability is greater for smaller stocks, stocks with higher idiosyncratic volatility, and stocks with higher bid–ask spreads relative to their options’ bid–ask spreads. Moreover, OTS is a significantly stronger predictor of intraday stock returns after overnight earnings announcements. The evidence suggests that option trading in the 30 min after the opening bell has predictive power for intraday stock returns.     

Investor Sentiment and Stock Market Volatility: Evidence from India

In this article, the authors probe the role of irrational investor sentiment in the determination of Indian stock market volatility. The authors developed a new irrational aggregate sentiment index (IASI) to examine the issue. The conditional volatility is extracted from the nonlinear univariate models for the market indices and the IASI. The vector autoregression (VAR) is carried out to analyze the relationship between the volatility of irrational aggregate sentiment index and stock market volatility. The authors find a unidirectional causality from sentiment to stock market volatility, and their findings highlight the significance of sentiment in explaining the stock market volatility in India.     

Short Interest and Lottery Stocks

We find short interest‐related mispricing is strongest in lottery stocks. As stocks become more lottery‐like, arbitrage risk increases, resulting in higher overpricing (underpricing) in high (low) relative short interest (RSI) stocks. Monthly portfolio alphas are –1.61% for high RSI lottery stocks, whereas high RSI stocks with the least lottery‐like attributes show statistically insignificant alphas. Among lightly shorted stocks, lottery securities exhibit monthly alphas of 1.80%. Thus, although lottery stocks as a group typically underperform, investors can earn positive abnormal returns in lightly shorted lottery stocks. Our results suggest that lottery stocks’ greater noise trader risk and higher transactions costs impedes arbitrage in short interest‐related mispricing.     

Getting offshoring right

The prospect of offshoring and outsourcing business processes has captured the imagination of CEOs everywhere. In the past five years, a rising number of companies in North America and Europe have experimented with this strategy, hoping to reduce costs and gain strategic advantage. But many businesses have had mixed results. According to several studies, half the organizations that have shifted processes offshore have failed to generate the expected financial benefits. What's more, many of them have faced employee resistance and consumer dissatisfaction. Clearly, companies have to rethink how they formulate their offshoring strategies. A three-part methodology can help. First, companies need to prioritize their processes, ranking each based on two criteria: the value it creates for customers and the degree to which the company can capture some of that value. Companies will want to keep their core (highest-priority) processes in-house and consider outsourcing their commodity (low-priority) processes; critical (moderate-priority) processes are up for debate and must be considered carefully. Second, businesses should analyze all the risks that accompany offshoring and look systematically at their critical and commodity processes in terms of operational risk (the risk that processes won't operate smoothly after being offshored) and structural risk (the risk that relationships with service providers may not work as expected). Finally, companies should determine possible locations for their offshore efforts, as well as the organizational forms--such as captive centers and joint ventures--that those efforts might take. They can do so by examining each process's operational and structural risks side by side. This article outlines the tools that will help companies choose the right processes to offshore. It also describes a new organizational structure called the extended organization, in which companies specify the quality of services they want and work alongside providers to get that quality.     

THE ROLES OF THE PRIVATE AND PUBLIC SECTORS IN ENHANCING THE PERFORMANCE OF SEED SYSTEMS

Seeds are crop-based agriculture's most important input, yetfew developing countries have succeeded in establishing efficientseed production and supply systems. In many developing countriesthe large-scale, centralized state farms and public seed corporationsestablished to multiply and disseminate improved seeds of selectedcrops have proved ineffectual, failing to meet the diverse cropand varietal requirements of farmers. Governments and assistingagencies are currently reassessing their strategies, payinggreater attention to the potential contributions of privatefirms, cooperatives, other nongovernmental organizations (NGOs),and farmers themselves. This article contributes to that reassessment. It defines thescope for involving the private sector in an array of seed-relatedactivities, identifies critical and complementary roles forthe public sector, and reviews seed system development in industrialand developing countries, with a primary focus on institutionaldimensions. The article advocates a phased withdrawal of thepublic sector from the commercial side of seed production andmarketing, while recognizing a continued important role forthe public sector in plant breeding research, germplasm andvarietal maintenance, training, quality control, and consumerprotection.      

Risky short positions and investor sentiment: Evidence from the weekend effect in futures markets

This paper examines the weekend effect in futures markets and presents rational and behavioral reasons for its existence. Specifically, we document a weekend effect (Friday's return minus the following Monday's return) in futures markets. The weekend effect occurs partly because of asymmetric risk between long and short positions around weekends; the weekend effect increases when short positions are relatively more risky. In addition, we find that both lagged and contemporaneous changes in investor sentiment are related to the weekend effect. These results are consistent with the investor sentiment literature that finds that mood improves on Fridays but deteriorates on Mondays.     

Where do capabilities come from and how do they matter? A study in the software services industry

Recent years have witnessed a surge of interest in the notion of capabilities as an important source of competitive advantage. This recognition has, in turn, placed emphasis on the question of where and how these capabilities emerge and how they influence firm performance. The present paper is an attempt to address this question. Using a large sample of detailed project‐level data from a leading firm in the global software services industry, we attempt to empirically study the importance of capabilities. We find that two broad classes of capabilities are significant. The first class, which we label client‐specific capabilities, is a function of repeated interactions with clients over time and across different projects. This learning from repeated interactions with a given client reduces project execution costs and helps improve project contribution. The second class, termed project management capabilities, is acquired through deliberate and persistent investments in infrastructure and systems to improve the firm's software development process. Our empirical results suggest that the marginal returns to acquiring different capabilities may be different and an understanding of such trade‐offs can improve firm decisions to improve and/or acquire such capabilities. We discuss the key contributions of our paper and the implications for future research on capabilities. Copyright © 2004 John Wiley & Sons, Ltd.     

Identifying Customer Loyalty Supporting Factors in the Retail Banking Context: An Empirical Examination

This article aims to identify factors which support customer loyalty, either through dedication or by imposing constraints, and subsequently empirically analyzes the relationship between identified factors and the attitudinal and behavioral component of loyalty in the context of retail banking. Data collected from a sample of 293 retail banking customers have been analyzed through structural equation modeling. The study results suggested two constraint promoting factors and one dedication promoting factor which supported loyalty. The study contributes to knowledge by empirically testing the qualitative model and coming out with empirically proven dedication-promoting and constraint-promoting loyalty supporting factors.