In portfolio risk minimization, the inverse covariance matrix of returns is often unknown and has to be estimated in practice. Yet the eigenvalues of the sample covariance matrix are often overdispersed, leading to severe estimation errors in the inverse covariance matrix. To deal with this problem, we propose a general framework by shrinking the sample eigenvalues based on the Schatten norm. The proposed framework has the advantage of being computationally efficient as well as structure-free. The comparative studies show that our approach behaves reasonably well in terms of reducing out-of-sample portfolio risk and turnover.

The main goal of the current study is to analyze the relationship between leaders' empowerment, radical innovation and organizational performance. A total of 300 Spanish companies participated in the study. In total, 600 valid questionnaires were obtained. Structural equations were used to validate the proposed hypotheses. Two different respondents in each company were selected to provide information. All the hypotheses proposed in the theoretical model were confirmed. This research provides empirical evidence of the relationship between leaders' empowerment and organizational performance, highlighting the mediation role played by radical innovation. Leaders who empower, promote radical innovation and, in turn, performance. To our knowledge, this is the first empirical study that analyzes the effect of leader's empowerment on radical innovation. Although in the former literature there are evidences of a positive relationship between empowerment and innovation, there are no studies that differentiate between innovation typologies.

A recent debate in the international CSR literature has focused on the question whether CSR serves as a mirror or a substitute of country-level governance. Advocates of the mirror view highlight the role of country level institutions to drive corporate social performance (CSP) levels, whereas proponents of the substitute view find companies to become more active in light of governance gaps. We contribute to this debate by moving the focus to a sample of 264 emerging economy and developing country companies and by comparing the relationship between country-level governance and CSP based on three different CSP dimensions, namely, emissions, human rights, and community performance. Whilst we find corporate emissions performance and human rights performance to align more closely with the mirror view, there is some indication that corporate community performance—possibly traced back to the longstanding tradition of corporate philanthropy in non-Western contexts—instead acts as a substitute to fill institutional voids. We discuss implications of our findings for research and policymakers.

We distinguish between “good” and “bad” carry trades constructed from Group of Ten (G-10) currencies. The good trades exhibit higher Sharpe ratios and sometimes positive return skewness, in contrast to the bad trades, which have both substantially lower Sharpe ratios and highly negative return skewness. Surprisingly, good trades do not involve the most typical carry currencies like the Australian dollar and Japanese yen. The distinction between good and bad carry trades significantly alters our understanding of currency carry trade returns, and invalidates, for example, explanations invoking return skewness and crash risk.

The Indian pharmaceutical industry has experienced rapid growth, becoming the world's largest provider of generic drugs, based on product and process innovation. The industry has undergone dynamic changes in recent decades, operating in a rapidly evolving environment affected by domestic and global policies; a key example of the latter is the TRIPS agreement. Taking an intellectual property perspective, we describe how changes in the innovation ecosystem have affected companies’ strategies related to international activity and accessing knowledge from both internal and external knowledge sources, during the transitional- and post-TRIPS periods (1995–2004 and 2005–2014, respectively). Combining intellectual property arguments with contextual aspects of the innovation ecosystem, we conjecture that, in the post-TRIPS period, externally-sourced knowledge will be more important than internally-sourced knowledge, for Indian pharmaceutical firms’ international business activity.

Though short sellers on average succeed at identifying overvalued equity, firms often signal disagreement with short sellers by repurchasing stock when short interest increases. We investigate whether this disagreement reflects a myopic defense of inflated prices, or positive private information. These repurchases appear motivated by managers’ private information, not agency issues, even when managerial benefits to short-termism are enhanced or monitoring is weaker. Managers’ informational advantage relates to subsequent news, earnings, and risk, but is attenuated if activists target management or insiders sell. A trading strategy based on our findings earns 7.5% annually.

We use community detection analysis to investigate the structure of Bengaluru's ICT cluster's inter-organizational network during the period 2015–2017. Building on the knowledge sourcing literature, we conjecture that cluster firms primarily build knowledge-seeking horizontal linkages with technologically similar companies, and that this splits the network into multiple technological communities within which firms are tightly connected, but between which linkages are scarce. We further propose that community-spanning firms which build horizontal linkages that bridge technological communities are more likely to conduct radical innovation than their peers. We finally argue that no relation exists between technological proximity and community formation in the network of vertical buyer-supplier relations. Using a voltage-based algorithm for community discovery, we draw empirical support for these predictions. We discuss the implications of our findings for Bengaluru's upgrading potential.

We provide strong support for the underappreciated expected earnings hypothesis of a negative correlation between aggregate stock returns and earnings. For 1970–2000, our powerful modeling strategy incorporating macroeconomic information reveals that aggregate returns are significantly and negatively correlated with expected aggregate earnings changes but uncorrelated with unexpected aggregate earnings changes. However, this negative correlation changes after 2000, perhaps from heightened volatility or accounting changes. We also show that underlying macroeconomic information explains the power of aggregate earnings to predict future gross domestic product growth.

India began the process of market liberalization that opened it to significant interactions with the world economy in 1991. In this essay, we provide an overarching view of the country's journey toward integration with the global innovation and entrepreneurship network. Major nodes in this global network have two major components that may be metaphorically referred to as ‘pillars and ivy’. Globally connected multinational enterprises (MNEs) form the pillars. Agile startups are the ivy, and their success (metaphorically, the height to which they can climb) depends on their symbiotic connections with the pillar MNEs. Both components are essential and reinforce each other. Without MNEs, the scaling of startups is hampered. Without a vibrant population of startups, MNEs’ interest in a location remains driven by cost, rather than capability and creativity. MNEs (mainly foreign) provided the initial sparks for the formation of the Indian innovation and entrepreneurship ecosystem. We chart the subsequent growth of India's startups. They began in the information technology (IT) sector but now cover a much wider range of industries. Today, India's innovation and entrepreneurship ecosystem is one of the largest in the world, with global integration in terms of technology, financing, human capital, and administration.