Investor attention,firm-specific characteristic,and momentum: A case of the Korean stock market

This study examines the sources of negative momentum profits by combining investor attention and the properties of common and firm-specific factors. We choose the Korean stock market as a good case to characterize the negative momentum profits identified in Asia. In both portfolio and stock analyses, a method is devised to generate return data involving the property of each common and firm-specific factor within stock groups by investor attention. This study found significant negative momentum profits within the stock group with high investor attention. This momentum effect is highly dependent on the reversed performance of the past loser portfolio, not the continued performance of the past winner portfolio, and this reversal is strongly attributable to the properties of firm-specific factors, and not those of common factors. These results are robustly consistent regardless of changes in empirical design and the consideration of influence factors, market dynamics, and other stock markets.     

基于过程管理视角的开放式创新关系治理研究

开放式创新集价值创造与价值获取于一体，对于促进合作研发与创新成果转化具有积极作用。但是，创新主体间目标分歧、利益冲突等关系治理问题影响创新绩效与商业化成败，已成为制约开放式创新实践的主要障碍。基于“知识搜索→知识整合→商业化”的过程管理视角，考察了开放式创新关系治理问题的表现与产生机理，发现解决关系治理问题的关键是维护价值创造与价值获取间动态均衡，提出了以信任及关系规范为主体的关系治理机制理论框架，并从合作关系的内在规则与外在行为两个方面论证了关系治理机制的作用效果。     

Business Cycles Synchronisation and Symmetries in the Transition to East African Monetary Union

Our paper explores the prospects for the proposed East African Monetary Union (EAMU) by employing rigorous empirical tools to analyse business cycles synchronisation, structural cross-correlations, spectral decomposition and regional clusters to identify different cyclical episodes, periodicities and characterise the economic cycles of East African countries. We find that cyclical movements reflect various idiosyncratic, common, historical and external shocks in the region. Secondly, all countries appear to be structurally correlated with each other except for South Sudan and Burundi. Our results also observe that the contemporaneous co-movements of East African Community (EAC) cycles with those of Kenya and Tanzaniaare procyclical with coincidental path shift, while the same EAC cycles appear to be acyclical with those of Burundi. Additionally, from the spectral decomposition, Kenyan cycles take 10 years to complete, while those of Tanzania and Rwanda take 8 years. Ugandan and Burundian cycles take approximately 5 years, while the cyclical frequency for South Sudan corresponds to 3.3 years. Finally, the cluster characterisation of countries reveals that South Sudan, Burundi and Rwanda form a group, while Kenya and Tanzania from a group distinct from the rest. We urge the member countries to prioritise policies on regional risk-sharing and adjustment mechanisms, in addition to establishing credible institutional infrastructure that ensures surveillance and enforcement of convergence conditions adopted in EAMU protocol.     

Experiencing forest products – An innovation trend by rural entrepreneurs

There is increasing emphasis on innovation as a driver of continued prosperity in the rural economy. Globalisation poses challenges to rural areas given technological advances and intensified competition in agricultural markets, ageing rural populations and expansion of urban areas. However, in recent years, the conception of rural areas has shifted from places of production to places of consumption. In line with an increasing urban demand for consumption of products and services close to nature within the rural landscape, we observe the emergence of experiential offers based around non-wood forest products (NWFP) where the consumer is closely connected to the harvesting and use of the products. In this paper, we examine how such intersecting demands have created new forms of market for NWFP, by analysing in-depth four innovative examples in Austria and the United Kingdom. Semi-structured interviews were conducted with the managers of these businesses, and cases were analysed through application of both the experience economy and the innovation systems approach. We found that all four businesses were on the one hand derived from traditional, regional cultural skills and values and, on the other hand, directly connected to new consumers’ demands. The apparent success of these emerging business models lies in the accretion of new social values onto traditional products. Thus creative approaches blending offers designed to enhance cosumers’ experiences into traditional sectors, such as forestry, would have potential in the future. However, our results indicate that there is a lack of institutional support for the development of such businesses in both countries. Better suited innovation policies and support structures would be important for mainstreaming or encouraging the development of similar businesses, innovations and knowledge.     

Limitations of portfolio diversification through fat tails of the return Distributions: Some empirical evidence

This study investigates the level of risk due to fat tails of the return distribution and the changes of tail fatness (TF) through portfolio diversification. TF is not eliminated through portfolio diversification, and, interestingly, the positive tail has declining fatness until a certain level is reached, while the negative tail has rising fatness. This indicates that fat tails are highly relevant to common factors on systematic risk and that the relevance of common factors is higher for the negative tail compared to the positive tail. In the portfolio diversification effect, the declining fatness of the positive tail further reduces risk, but the rising fatness of the negative tail does not contribute to this effect. The asymmetry between the fatness of the positive and negative tails in the return distribution corresponds to the asymmetry of the trade-off relationship between loss avoidance and profit sacrifice that is expected as a consequence of portfolio diversification. Investors use portfolio diversification to reduce their risk of suffering high losses, but following this strategy means sacrificing high-profit potential. Our study provides empirical confirmation for the practical limitation of portfolio diversification and explains why investors with diversified portfolios suffer high losses from market crashes. An examination of the Northeast Asian stock markets of China, Japan, Korea, and Taiwan show identical results.     

Upzoning and value capture: How U.S. local governments use land use regulation power to create and capture value from real estate developments

The public sector can harness its authority to control land uses to secure valuable public benefits from real estate developments. This paper investigates how five major U.S. cities—Boston, Chicago, New York, San Francisco, and Seattle—are using their land use regulation powers to create and capture value for the public benefit. An analysis of the zoning and entitlement processes of the 20 largest real estate development projects in each city reveals that value has been captured from all 100 projects. Furthermore, these cities implicitly differentiated value capture into two distinct components: value creation and value capture. Among the 100 projects, cities created value for 90 projects by allowing greater density and height—a practice often referred to as “upzoning.” Distinguishing such upzoning incidences from traditional land use exaction tools is important because the added value gives local governments greater legitimacy in asking for public benefits. The experience of the five cities further revealed that value capture strategies can be customized to adapt to unique regulatory, political, and cultural contexts. Lastly, despite the fact that the majority of the upzoned projects increased density and height through project-specific negotiations, none of the cities had clear standards or evaluation frameworks for determining: how much value was created, what can be asked for in return, and who should benefit from the value captured. Cross-national scholarship on value capture can be leveraged to address these important questions.     

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.     

Geographies of Algorithmic Violence: Redlining the Smart City

City governments are embracing data-driven and algorithmic planning to tackle urban problems. Data-driven analytics have an unprecedented capacity to call urban futures into being. At the same time, they can depoliticize planning decisions. I argue that this shift calls urban studies scholars to investigate geographies of algorithmic violence—a repetitive and standardized form of violence that contributes to the racialization of space and spatialization of poverty. This article examines this broader phenomenon through the case of a proprietary market value assessment that is being used to guide development in cities across the United States. The assessment employs an algorithm that helps city officials make critical decisions about which neighborhoods to target for investment, disinvestment and public service upgrades or disconnections. I argue that the racial, infrastructural, and epistemological violence associated with this evaluation can potentially lead to a new kind of municipal redlining. The article brings insights from critical race theory into conversation with critical scholarship on algorithms by analyzing how algorithmic violence works through data-driven planning technologies to depoliticize and leverage power while further entrenching racism and inequality.     

Building value co-creation with social media marketing,brand trust,and brand loyalty

Value co-creation has emerged as a critical challenge for fashion brands in the age of social media. Despite its importance, scholars have not adequately explored the role of social media marketing (SMM) in enhancing value co-creation (VCC) intentions among fashion brand consumers in mainland China. SMM encompasses five hierarchical elements: entertainment, customization, interaction, electronic word-of-mouth (EWOM), and trendiness. This study developed a theoretical framework based on attribution theory and employed the partial least squares–structural equation modeling (PLS-SEM) method to analyze the value co-creation process. The results indicate that SMM positively impacts brand loyalty (BL), brand trust (BT), and VCC. Furthermore, BT positively affects BL and VCC, while also serving as a positive mediator between SMM and BL and VCC. Finally, BL positively enhances the VCC intentions of fashion brand consumers. Our study's unique insights, derived from the attribution theory's advantage point, enrich the marketing literature. These findings also offer practical guidelines and tips for marketing managers seeking to optimize their SMM mix for VCC.     

Service value chains and effects of scale

This paper generalizes Porter’s notion of the value chain for the analysis of service industries. The generalization entails that the flow and the physical transformation and assembly of goods that are characteristic of manufacturing are generalized into flows and transformation of data and flows and transformation of the physical and mental condition of people that are characteristic of many service industries. Utility is generalized from the utilities of forms and function of goods, characteristic of manufacturing, to the utilities of time, place, convenience, speed, safety, entertainment, physical and mental well-being, knowledge and mental capacity, funding and assurance. The analysis yields a categorization of industries according to central features of the value adding process. Here, the analysis is used to identify sources of (in)efficiency of scale, scope and experience, along the value chain.