The Global Determinants of Direct Office Real Estate Returns

We investigate the determinants of direct office real estate returns by analyzing rents, capital appraisals, and total returns. A recently compiled global database of major cities in Asia, Europe, and the United States provides a unique opportunity to give a macro-view on the effects of economic growth and supply and demand factors on nominal real estate returns. The global database provides quarterly observations from 1986 to 1999. To address the smoothness problem of appraisal-based price data and regulated rents, we employ the Generalized Method of Moments to estimate a dynamic panel-data model. The model allows us to combine the cross-sectional and time-series dimension in our quarterly data. We find that gross domestic product, inflation, unemployment, vacancy rate, and the available stock all have an effect on real estate returns.     

我国债券市场的改革与发展

改革开放以来,债券市场蓬勃发展,扩大了融资渠道,优化了融资结构,促进了国民经济的健康发展。但与成熟市场经济国家相比,国内债券市场仍处于初级阶段,尚未完全步入规范化、法制化轨道。因此,需进一步推进债券市场的改革,促进债券市场向深度发展。     

The contingent value of marketing strategy innovativeness for product development performance in Chinese new technology ventures

This study extends research on entrepreneurial behavior by investigating the relationship between the marketing strategy innovativeness (MSI) and new product performance in technology-based new ventures in China. Specifically, premised on contingent resource-based view we argue that MSI is a firm capability that must be bundled with external managerial relationships and be deployed in the appropriate environment to ensure its success. We found that the team's extra industry relationships and market dynamism enhanced the impact of MSI on new product performance. In contrast, top management team's intraindustry relationships, financial relationships, and technology dynamism hindered the impact of MSI on new product performance.     

Who Receives Medicaid in Old Age? Rules and Reality

Medicaid is a government programme that also provides health insurance to the elderly who have few assets and either low income or catastrophic health care expenses. We ask how the Medicaid rules map into the reality of Medicaid recipiency, and we ask what other observable characteristics are important to determine who ends up on Medicaid. The data show that both singles and couples with high retirement income can end up on Medicaid at very advanced ages. We find that, conditioning on a large number of observable characteristics, including those that directly relate to Medicaid eligibility criteria, single women are more likely to end up on Medicaid – so are non‐white people, but, surprisingly, their higher recipiency is concentrated in the higher income percentiles. We also find that people with low incomes who have a high‐school diploma or higher degree are much less likely to end up receiving Medicaid than their less‐educated counterparts. All of these effects are large and depend on retirement income in a very non‐linear way.     

Corporate Cash Holdings and Acquisitions

We find that acquirers’ announcement returns decline with their cash holdings, but only when at least part of the payment is in the form of stock. We further find evidence that acquirers that use stock payment are overvalued, especially when they have excess cash that they could have used instead. Collectively, our results suggest that investors interpret announcements of stock acquisitions as a signal that the acquirers’ equity is overvalued and that high cash holdings intensify this signal. However, our results are inconsistent with the common belief that cash holdings induce value‐destroying acquisitions.     

Mean–variance and mean–semivariance portfolio selection: a multivariate nonparametric approach

While univariate nonparametric estimation methods have been developed for estimating returns in mean-downside risk portfolio optimization, the problem of handling possible cross-correlations in a vector of asset returns has not been addressed in portfolio selection. We present a novel multivariate nonparametric portfolio optimization procedure using kernel-based estimators of the conditional mean and the conditional median. The method accounts for the covariance structure information from the full set of returns. We also provide two computational algorithms to implement the estimators. Via the analysis of 24 French stock market returns, we evaluate the in-sample and out-of-sample performance of both portfolio selection algorithms against optimal portfolios selected by classical and univariate nonparametric methods for three highly different time periods and different levels of expected return. By allowing for cross-correlations among returns, our results suggest that the proposed multivariate nonparametric method is a useful extension of standard univariate nonparametric portfolio selection approaches.     

Accelerators as start-up infrastructure for entrepreneurial clusters

ABSTRACT

Infrastructure is commonly conceptualized as a set of facilities that play a critical role in facilitating activities by individuals and organizations. Conventionally, infrastructure is tightly linked to publicly funded projects that facilitate access to key resources and enable diverse activities. Within entrepreneurial clusters research, infrastructure includes universities, research institutions and telecommunication technologies that facilitate entrepreneurial activities. These capital-intensive investments seek to facilitate start-ups emergence by aiding access to markets and development of ideas. Accelerators facilitate the same activities and have only recently been conceptualized as start-up infrastructure. This study builds upon this research stream by elaborating on how accelerators can play this meaningful role at the cluster level. Specifically, and by relying on the analysis of empirical evidence from three distinct studies, we uncover how accelerators provide tangible and intangible dimensions of start-up infrastructure to form a positively reinforcing cycle of entrepreneurial activities. Additionally, our findings allow us to push further the idea that start-up infrastructure development can be an endogenous process involving multiple actors within the cluster. Our empirical findings and the theoretical insights derived from them have meaningful implications for the aforementioned literature, as well as start-up practitioners and policymakers linked to the funding of entrepreneurial clusters.     

论旅游学研究的对象和任务

从旅游学产生的历史和旅游学理论体系的内容两个角度对旅游学的研究对象进行了分析研究,认为旅游学的研究对象就是旅游活动和旅游业,其中又以旅游的三要素——旅游主体、旅游客体、旅游媒体及其相互关系为核心。其任务是找出对旅游活动和旅游业发展的规律性认识,对旅游实践活动起到理论上的指导作用