Mitigating the Challenges of Partner Knowledge Diversity While Enhancing Research & Development (R&D) Alliance Performance: The Role of Alliance Governance Mechanisms

This article explores the answers to the following unresolved research question: How do firms mitigate the collaboration challenges associated with partner knowledge diversity and enhance alliance performance? The study provides an alliance performance enhancing framework by identifying two types of partner knowledge diversity: (1) technology base diversity and (2) R&D process experience diversity, and links them with R&D alliance performance. Additionally, the moderating effects of the two types of alliance governance mechanisms (i.e., interactive and contractual mechanisms) were examined to investigate which alliance governance mechanism is conducive to mitigate the collaboration challenges and enhance alliance performance. Using a data set of 316 alliances in the biopharmaceuticals industry, the study found that a moderate degree (not too low or high) of technology base diversity between alliance partners contributes more to R&D alliance performance. Similarly, there was also an inverted U-shaped relationship between R&D process experience diversity and alliance performance; too much diversity in R&D process experience may increase the likelihood of partner opportunism, and therefore negatively affect alliance performance. Additionally, the results showed that alliance governance mechanisms played different roles in alliance collaboration; while the contractual alliance mechanisms help reduce relational uncertainty (e.g., opportunism), the interactive mechanisms promoting a more intensive interaction between partners mitigates task difficulty and facilitates complex technology activities. These findings extend the knowledge-based view (KBV) of strategic alliance and advance research on alliance governance design.     

Short-sale constraints and informational efficiency to private information: A natural experiment

Exploiting a regulatory change in short-sale constraints (Regulation SHO) as a natural experiment, this paper examines the effect of short-sale constraints on informational efficiency of stock prices to private information. I find that short-sellers act as informed traders prior to forthcoming analyst news and trade on negative private information. When short-sale constraints are relaxed for pilot stocks (treatment group), both trading volume and stock price sensitivity increase prior to the analyst announcement for bad news but not for good news, relative to that of nonpilot stocks (control group). The findings are consistent with the Diamond and Verrecchia model that predicts that short-selling increases the speed of adjustment of stock prices to private negative information. In the cross-section, the effect of Reg SHO is stronger in stocks of firms with weak and uncertain information environments (i.e., small firms and firms with high analyst forecast dispersion).     

Robust estimation for structural spurious regressions and a Hausman-type cointegration test

This paper analyzes an approach to correcting spurious regressions involving unit-root nonstationary variables by generalized least squares (GLS) using asymptotic theory. This analysis leads to a new robust estimator and a new test for dynamic regressions. The robust estimator is consistent for structural parameters not just when the regression error is stationary but also when it is unit-root nonstationary under certain conditions. We also develop a Hausman-type test for the null hypothesis of cointegration for dynamic ordinary least squares (OLS) estimation. We demonstrate our estimation and testing methods in three applications: (i) long-run money demand in the U.S., (ii) output convergence among industrial and developing countries, and (iii) purchasing power parity (PPP) for traded and non-traded goods.     

Detections of changes in return by a wavelet smoother with conditional heteroscedastic volatility

In this paper, we propose two estimators, an integral estimator and a discretized estimator, for the wavelet coefficient of regression functions in nonparametric regression models with heteroscedastic variance. These estimators can be used to test the jumps of the regression function. The model allows for lagged-dependent variables and other mixing regressors. The asymptotic distributions of the statistics are established, and the asymptotic critical values are analytically obtained from the asymptotic distribution. We also use the test to determine consistent estimators for the locations of change points. The jump sizes and locations of change points can be consistently estimated using wavelet coefficients, and the convergency rates of these estimators are derived. We perform some Monte Carlo simulations to check the powers and sizes of the test statistics. Finally, we give practical examples in finance and economics to detect changes in stock returns and short-term interest rates using the empirical wavelet method.     

Older and More Engaged: The Mediating Role of Age‐Linked Resources on Work Engagement

In the era of a graying workforce, individuals and their employers are concerned with the impact of the graying workforce on the level of engagement at work. Contrary to the myths about older workers being less engaged, statistics have shown that the level of engagement is higher as people age. Within the broad framework of conservation of resources theory in the area of work engagement, the current study aims to clarify how older workers are more engaged at work than younger workers. Building upon socioemotional selectivity theory and continuity theory from a life‐span perspective, we explain how individuals gain more resources as they age, including the abilities to regulate emotion and to maintain a career identity. We argue that this positive relationship between age and resources explains why older people have high levels of work engagement. We tested our predictions with a sample of 613 workers in the United States. The study demonstrates that well‐regulated emotion and strong commitment to career mediate the positive relationship between age and work engagement simultaneously. These findings contribute to the understanding of an aging workforce's engagement in the workplace. © 2016 Wiley Periodicals, Inc.     

International capital mobility: regional versus global perspective

This paper examines the role of regional versus global savings in financing domestic investment to shed light on the role of financial globalization and regionalism in capital markets. Regression results based on six regions with 141 countries reveal that although the role of foreign (global or regional) saving has increased over time, there are regional differences: domestic saving is the major source of investment financing in North America with an increasing role of regional and global savings over time, while regional saving is the main source in Europe. Global saving has been the main source of investment financing in other regions where domestic and regional financial markets are not well developed. However, the role of regional saving has significantly increased in recent years in the Asia-Pacific and in Latin America. Regionalism such as financial and monetary cooperation is likely to have increased the role of regional saving.     

Population Structure and Housing Prices: Evidence from Chinese Provincial Panel Data

This study analyzes the relationship between the proportion of the economically active population aged 15–64 to total population and housing prices. A panel of 31 provinces in China from 2002 to 2014 is used in our analysis. We find empirical evidence that the impact of the population structure on housing-price growth increases as the population growth rates rise. This observation suggests that, to understand provincial housing price movements in China, one should consider the ratio of working-age population to total population in a province. The main policy implication is that Chinese policymakers need to ensure a moderated population growth to effectively promote stability in housing prices and the economy.     

Institutional industry herding

We examine whether institutional investors follow each other into and out of the same industries. Our empirical results reveal strong evidence of institutional industry herding. The cross-sectional correlation between the fraction of institutional traders buying an industry this quarter and the fraction buying last quarter, for example, averages 40%. Additional tests suggest that correlated signals primarily drive institutional industry herding. Our results also provide empirical support for “style investing” models.     

Convertible bond arbitrage,liquidity externalities,and stock prices

In the context of convertible bond issuance, we examine the impact of arbitrage activity on underlying equity markets. In particular, we use changes in equity short interest following convertible bond issuance to identify convertible bond arbitrage activity and analyze its impact on stock market liquidity and prices for the period 1993 to 2006. There is considerable evidence of arbitrage-induced short selling resulting from issuance. Moreover, we find strong evidence that this activity is systematically related to liquidity improvements in the stock. These results are robust to controlling for the potential endogeneity of arbitrage activity.     

Does multinationality matter? Implications of operational hedging for the exchange risk exposure

An important issue in global corporate risk management is whether the multinationality of a firm matters in terms of its effect on exchange risk exposure. In this paper, we examine the exchange risk exposure of US firms during 1983–2006, comparing multinational and non-multinational firms and focusing on the role of operational hedging. Since MNCs and non-multinationals differ in size and other characteristics, we construct matched samples of MNCs and non-multinationals based on the propensity score method. We find that the multinationality in fact matters for a firm’s exchange exposure but not in the way usually presumed – the exchange risk exposures are actually smaller and less significant for MNCs than non-multinationals. The results are robust with respect to different samples and model specifications. There is evidence that operational hedging decreases a firm’s exchange risk exposure and increases its stock returns. The effective deployment of operational risk management strategies provides one reason why MNCs may have insignificant exchange risk exposure estimates.