Forecasting value at risk and expected shortfall with mixed data sampling

I propose applying the Mixed Data Sampling (MIDAS) framework to forecast Value at Risk (VaR) and Expected shortfall (ES). The new methods exploit the serial dependence on short-horizon returns to directly forecast the tail dynamics of the desired horizon. I perform a comprehensive comparison of out-of-sample VaR and ES forecasts with established models for a wide range of financial assets and backtests. The MIDAS-based models significantly outperform traditional GARCH-based forecasts and alternative conditional quantile specifications, especially in terms of multi-day forecast horizons. My analysis advocates models that feature asymmetric conditional quantiles and the use of the Asymmetric Laplace density to jointly estimate VaR and ES.     

Bridging the valuescape with digital technology: A mixed methods study on customers’ value creation process in the physical retail space

This mixed methods study investigated how value is created in the physical retail space and how the customer experience is influenced by digital technology. A cross-sectional survey, with both qualitative and quantitative components, was distributed across a heterogeneous sample of 832 customers. The results revealed an overarching model comprised of three interrelated clusters: customer, service provider, and digital technology. We propose that this model can be understood as a valuescape, where customers' specific goals, needs, and desires drive them to interact and co-create value with service providers in the physical retail space, with digital technology either enhancing or disrupting this value co-creation process. The results also show that the importance of aligning digital solutions with customers’ drives increases at the same pace as reliance on technology. The findings offer guidelines on how to utilize digitalization to leverage customer experiences and thus strengthen the attractiveness of physical retail spaces.     

Does Investor Sentiment Affect the Value Relevance of Accounting Information?

We investigate whether investor sentiment affects the relationships between accounting variables and contemporaneous stock returns. Using price-relevant accounting variables identified by Chen and Zhang (2007) and the investor sentiment index constructed by Baker and Wurgler (2006), we find that the value relevance of accounting variables is collectively lower in high sentiment periods than in low sentiment periods. More importantly, earnings yield appears to be more related to contemporaneous stock returns in high sentiment periods, while other accounting variables are more related to stock returns in low sentiment periods. The effect of investor sentiment on the value relevance of accounting information is stronger for firms that are more difficult to value and to arbitrage.     

Equity financing activities and European value-growth returns

This paper extends the U.S. evidence in Bali et al. (2010) to European stock markets. Like in the United States, European value-growth returns are strongly dependent on the valuation signals contained in the firm’s equity financing activities. The high returns of value firms are due to value purchasers, while the low returns of growth firms are due to growth issuers. Among value issuers and growth purchasers, there exists no value premium at all. The large return difference between value purchasers and growth issuers cannot be explained by common risk factors. However, employing Piotroski and So’s (2012) recently proposed market expectation errors approach shows that the observed value-growth returns can be attributed to mispricing.     

基于价值创造的物流业颠覆性创新系统分析

在对颠覆性创新理论再认识的基础上,对现有研究的不足之处进行了评论,并从价值创造角度构建了一个用于颠覆性创新的分析框架,在此框架基础上,进而对物流业颠覆性创新进行了系统分析。     

The development of service quality dimensions for internet service providers: Retaining customers of different usage patterns

This study examines the relationships among relevant service quality dimensions of Internet service providers (ISP) and their customers’ perceived value, trust and commitment. Data was collected from residential Internet users in Thailand. The final usable sample size was 1507. The analyses include segmenting ISPs’ customers on the basis of their usage pattern and evaluating their perceptions of Internet service quality dimensions. In addition, several alternatives models were compared using structural equation modelling to confirm the mediation effects. An ISP’s service quality is influenced by the following four dimensions (a) network quality, (b) customer service and technical support, (c) information quality and (d) security and privacy. The findings reveal that while all dimensions have positive effects on trust, only network quality, information support and privacy influence customer value significantly and information support is the only dimension which is directly related to commitment. Additionally, the effects of customer service and information support on value vary across customers of different Internet usage patterns. The contribution of the present paper stems from the simultaneous modelling of a range of mediation effects which can better help explain the impact of service quality dimensions on customers’ cognitive and affective evaluations in high-tech service settings.     

Knowing your boundaries: Integration opportunities in international professional service firms

This study presents three different business models (continuous, repetitious, and unique) identified in international professional service firms that pursue a transnational strategy. These business models have varying opportunities for global integration. We extend the integration–responsiveness framework by offering a framework for analyzing how to balance global integration with local responsiveness when pursuing a transnational strategy. By identifying the content, structure, and governance transactions of the three business models, we can determine when to pursue headquarters-initiated global integration and when to choose strategies that ensure local responsiveness and subsidiary competitiveness in local markets.     

The Internet of Things: Are you ready for what’s coming?

Are you ready for what’s coming? As senior managers look to connect products, processes, and services to the growing field of the Internet of Things (IoT), this is an important preliminary question. Leveraging the IoT for firm benefit involves revisiting certain ideas that may have gone unquestioned for a long time. In this article, we begin by reviewing the complexity of the IoT, the complexities of an increasingly interconnected environment, and the increasing need to develop partnerships in order to create innovative solutions. We then offer practical insights from a case in which three actors with reciprocal specialties cooperated to create an IoT solution in the form of a connected appliance. While a shared spirit of optimism prevailed throughout the endeavor, reaching the finish line meant jumping a few hurdles along the way. Finally, we describe a number of fundamental issues related to business models, partnership strategy, data ownership, and technology diffusion that every enterprise should address before diving headfirst into the Internet of Things.     

WICKEDNESS IN SOCIAL CHOICE

In an article from 1973, Rittel and Webber distinguished between ‘tame’ or ‘benign’ problems on the one hand and ‘wicked’ problems on the other. The authors argued that wicked problems occur in nearly all public policy issues. Since different groups adhere to different value-sets, solutions can only be expressed as better or worse. By no means can they be viewed as definitive or objective. In this paper we consider, from this very angle, the theory of social choice which is about the aggregation of individual preferences with the aim to derive a consistent social preference. We show that collective choice offers wicked problems of various types which differ in their degree of severity. We hereby concentrate on welfare functions and voting schemes of different kinds and discuss these in the light of various criteria such as Arrow's independence condition, Condorcet consistency, monotonicity, manipulability, and other properties.     

Identifying new dimensions of business incubation: A multi-level analysis of Karolinska Institute's incubation system

Relying on an in-depth case study of the incubator related to the Swedish medical university Karolinska Institute's (KI), this paper identifies new analytical and strategic dimensions of incubation. Departing from the current literature's prevalent focus on incubators as organizations performing a predefined set of activities for incubatees (facility renting, coaching, training and connecting), we perform a multilevel analysis embracing, next to the organizational and the project-specific levels, also the broader institutional and inter-organizational level. Our analysis relies on seven key components of incubation, namely its time, place, sources, resources, control/governance, activities/services and outcomes. Further, we view incubators as strategic actors engaged in value creation on a broader arena than the strict incubation context, even an international arena, where incubators' choices and interactions can be analyzed with the help of concepts from various streams in the business strategy literature. The specific strategic drivers of business incubation that we identify in the KI incubator's case are six: positioning in the value chain, risk taking/time perspective, revenue model, governance/control, internationalization, and cooperation/competition. The paper concludes with managerial implications urging incubators to take more of a strategic perspective rather than focussing only on the established components of their operations.