上市公司业绩预告与股票收益率的经验研究

运用上市公司财务与市场数据,对业绩剧变公司的业绩预告的特点、影响因素及业绩预告对股票价格影响的实证研究发现,业绩预告披露的可能性与业绩变动、基金持股比例、公司规模等因素有关,与风险、前十大股东持股比例等因素无关;业绩预告披露、年度财务报告披露期间的异常收益率与ROE变动比率、资产规模、信息披露细致程度等因素有关。在年报披露期间,业绩预告披露与否对异常收益率有显著影响,业绩预告会在一定程度上削弱年度财务报告信息对该公司股票的利空、利好效应.     

Biotechnology as a Technological Paradigm in the Global Knowledge Structure

The aim of this study is to analyse whether the receipt of public R&D funding determines firm's R&D strategy selection. This issue is crucial, as previous studies have shown that each R&D strategy is associated to a higher, or lower, innovation performance. We consider three R&D strategies – make, buy, make–buy – and three different sources of public funding – regional, state and other (such as EU). The model estimation is performed through a multinomial logit model with random effects with a sample of 457 large firms for the period 1992–2005, taken from the Spanish Survey of Business Strategies. The main finding is that the source of the funding influences whether firms select the make, buy or make–buy strategy. Additionally, because of the panel structure of the sample, we observe that the effect of public funding on the R&D strategy selection lasts longer for state and regional funds than for other funds.     

中等城市绿色交通系统分类评定模型建构

根据以往我国城市绿色交通的调查结论,设计调查问卷,调查之后进行分析。运用Logit回归模型,建立一个专门针对二元因变量的Binary Logit模型,得出以下结论:收入水平、交通拥堵状况、对小汽车的态度和低碳环保意识4个变量因为统计检验不显著而未能进入最终模型。同时,油价、停车费、居所附近的直达公交线路、居所附近的轨道交通、公共交通乘坐舒适度、工作日平均出行距离与居民绿色出行方式的选择具有显著相关关系。     

The determinants of the location of foreign direct investment in UK regions†

This article employs a database of over 2000 observations of Foreign Direct Investment (FDI) projects in UK regions. We analyse this data by means of various multinomial and conditional logit models in order to identify the major determinants of the location choices of these inward investments. Having controlled for the various characteristics of inward investing firms, the projects and the regions, our results suggest that existing regional specialization is the single most important determining feature of where inward FDI locates. In addition, London is seen to benefit primarily by the immigration of new investments, the majority of which are related to service sector activities.     

China's macroeconomic stability – an empirical study based on survey data

A complete financial stability analysis should include investigation on macroeconomic stability since macroeconomic development and potential imbalance can increase the financial instability and trigger a financial crisis. Survey data of rating on China's macroeconomic stability is analyzed by estimating an ordered logit model with random effect. Among the candidate macroeconomic indicators, we found that inflation is the key variable that determines China's macroeconomic stability, followed by the change in budget balance and GDP growth gap.     

Liberalization,Regulatory Delays and Vulnerability to Systemic Banking Crisis

This work aims at contributing to the improvement of the early warning systems of banking crises using a new approach accounting for model uncertainty. We show that a multinomial logit model based on Bayesian model averaging (BMA) is a good strategy to predict banking crisis. To do this, we argue that differences in vulnerability to banking crisis can be largely explained by an asymmetry between financial market evolution and regulation update on a sample of 49 developed and developing countries between 1980 and 2010. When markets are liberalized, competition pushes bankers to take more risks and take advantage of regulatory delays thus increasing crises probabilities. Our empirical evidence supports that crisis probability is higher in country liberalizing their banking system when regulation is not updated. We developed an early warning system for systemic banking crises based on the multinomial logit model. Its main difference to existing prediction models and its contribution to the literature is that it is intended to identify and resolve what is called by Bussiere and Fratzscher [(2006). Towards a new early warning system of financial crises. Journal of International Money and Finance, 25(6), 953–973] as post-crisis bias in binomial models and to develop a new methodology of leading indicators selection based on BMA. Overall, our model predicts all banking crises during our sample period.     

Which consumers are willing to pay for smart car healthcare services? A discrete choice experiment approach

The technology adoption lifecycle model categorizes consumer groups in the new concept products and services market, based on different characteristics and needs, into innovators, early adopters, early majority, late majority, and laggards, in order of adopting new products and services. This study aims to estimate heterogeneous consumer preferences and willingness to pay for a new concept convergence service, the smart car healthcare service, using a choice experiment questionnaire and a hierarchical Bayesian mixed logit. We found that consumers were willing to pay an additional 3000 to 6000 KRW/month (2.65–5.29 USD/month) for a service that measured both physical movement and vital signs compared to either the former or the latter. It was also found that they were willing to pay about 3000 KRW/month (2.65 USD/month) more for a service that provides health condition predictions compared to one that provides only the current health condition. In addition, customers who were young, innovative, and favored the utility of healthcare services showed a lower sensitivity to service fees than those who were not. Thus, they were found to have a greater willingness to pay for advanced smart car healthcare services.     

Corporate financial distress: The case of publicly listed firms in an emerging market economy

Occurrences of financial distress (FD) are not readily obvious yet can span several periods. This paper examines episodes of FD using industry‐relative (IR) firm‐/ accounting‐, market‐ and macro‐level information. Mixed logit regressions reveal that firm‐ and market‐based measures, as well as macro‐level variables explain the likelihood of FD in 263 publicly listed non‐banking firms in the Philippines during the period 1995 to 2018. Rates of identification of firms in financial distressed states of close to 69 percent are obtained at a cutoff probability of 0.30 in the model with time‐varying intercept and slope. This study shows the importance of recognizing heterogeneous firm behavior. The ability to more accurately predict the probability of FD and to determine the financial health of firms can help financial institutions in allocating funds and policy makers in predicting crises episodes.     

Becoming a tree when I will be dead? Why not! Generation X,Y and Z,and innovative green death practices

Within the theoretical field of ethical consumption, the study focuses on consumer behavior and innovative green death practices. While scarcely investigated in the marketing and consumer behavior research domains, at least four main reasons spur to consider the funeral industry as an interesting subject of enquiry: i) the sector boasts of a significant economic relevance; ii) it is extremely impactful from an environmental and social point of view; iii) it is witnessing interesting innovative processes in the direction of social and environmental sustainability; iv) consumer movements are rising all over the world asking for more sustainable death practices. Thus, adopting an augmented version of the theory of planned behavior (TPB), which includes individuals’ environmentally responsible consumption, and egoistic and altruistic environmental concern, the study investigates behavioral intention to adopt innovative green death practices (a green funeral) of people belonging to three different generations: X, Y, and Z. A purposive sample of 627 Italian people participated in an online the survey. Collected data were analyzed adopting an ordinal logit model. The results confirm the TPB predictive power also in the field of green funeral behavioral intention. Furthermore, environmentally responsible consumption and environmental concern – even though only in its altruistic component – positively influence behavioral intention, and generation exerts a moderating effect among the examined constructs. Overall, the research attempts to enrich the literature on ethical consumption by exploring the underinvestigated phenomenon of buying behavior of unsought and end-of-life products, that of green funerals, and provide managerial recommendations to funeral service sellers.     

Food values and heterogeneous consumer responses to nanotechnology

Agricultural applications of nanotechnology are at a relatively early stage and little is known about consumer responses to the technology. Canadian consumer responses to food nanotechnology are examined through the lens of the Food Value Scale. Data from a survey of Canadian consumers are used to evaluate the relative importance of eleven food values to food purchase decisions. We find that taste, safety, nutrition, and price are among the most important food values to Canadians, however, consumers exhibit considerable heterogeneity with respect to the priority placed on these values. A discrete choice experiment (DCE) explores the effect of food values on choice behavior. The DCE is positioned as a sliced apple product with non-browning and antioxidant-enhanced features introduced through the use of nanocoating or a conventional coating method. Random parameters logit (RPL) and latent class models (LCM) confirm the existence of significant preference heterogeneity. The LCM identifies three classes of consumers: “supporters,” “doubters,” and “opponents” who differ in their reaction to nanotechnology and in the relative importance placed on food values such as naturalness, novelty, and convenience. The analysis shows that food values provide additional insights into consumers’ food choices and their attitudes toward novel food technologies.