Some Tests of APT Mispricing Using Mimicking Portfolios

Cross-sectional and time-series tests using mimicking portfolios are used to assess the exactness of the APT with(out) a residual market factor. The first factor seems to be sufficient to span the efficient set, whether the model is estimated using (un)conditional variance-covariance matrices that are (un)adjusted for nonsynchronous trading. Although the conditional standard deviations of the mimicking portfolios significantly explain the time-variability of security volatilities, the residuals of the mean equation still exhibit heteroskedasticity. Similar results are obtained for portfolios of CAPM-betaranked securities, and for randomly selected individual securities.     

Modeling farmers’ decisions on tea varieties in Vietnam: a multinomial logit analysis

This article analyzes households’ choice on tea varieties in Vietnam by using a multinomial logit model. The modeling takes into account the issue of unobserved individual heterogeneity and the endogeneity of some explanatory variables (use of chemical and organic fertilizers). The results show that important factors influencing the decision to adopt one type of tea varieties include income, age, household size, farming contract, and use of organic fertilizers, but also membership of professional associations such as the Tea Association and the Farmers Union.     

Cultural distance and cross-border bank linkages

This study investigates the effect of cultural distance on global bank linkages using country-pair data for the period 1990–2013. We followed Schwartz (2006) to measure cultural distance, and employed the number of bank pairs involved in cross-border syndicated lending from the source to target countries as a measure of bank linkages. We found that cultural distance has a negative association with bank linkages. This effect is stronger in countries featuring higher informational asymmetries, as represented by weaker institutions, higher uncertainty, or revolution shocks. Our results hold even when employing alternative measures of bank linkages and cultural distance, and when considering the potential endogeneity of cultural distance.     

Learning Approaches and Outcome‐Based Teaching and Learning: A Case Study in Hong Kong,China

Outcome‐based education is a pedagogical process which focuses on the achievement of certain specified results. Outcome‐based teaching and learning (OBTL), therefore, is concerned with curriculum design and ensuring that the contents, delivery, activities, and assessments are all aligned to help facilitate students to attain specific intended learning outcomes. This study explores whether and how outcome‐based teaching impacts on the learning approaches of one cohort of undergraduate business students at a university in Hong Kong, China to undergo outcome‐based teaching, newly introduced as part of a university‐wide policy to adopt OBTL. The learning approaches of these business students were measured using John Biggs's (1987 Biggs, J. 1987. Student approaches to learning and studying, Melbourne: Australian Council for Educational Research.  [Google Scholar]) Study Process Questionnaire (SPQ) to determine whether these students tended to favor surface learning approaches, deep learning approaches, or achieving learning approaches upon initial entry into the university. Changes in learning approaches were tracked, after a semester's exposure to OBTL, through survey and focus group interview methods. Findings indicated a significant amount of transference between learning approaches deployed by these students, demonstrating a high level of adaptability.     

Corporate watchdogs

We investigate the role of financial analysts as corporate watchdogs. We show that firms that are subject to intense analyst monitoring are more likely to be investigated by the Securities and Exchange Commission or to be the subject of a securities class action. Using cross-sectional variations in managerial entrenchment, we find that this effect is not a reflection of the “dark side of analyst coverage,” analysts pushing executives to misbehave to exceed short-term expectations. Our findings are robust to different identification strategies addressing the endogeneity of analyst coverage decisions.     

Defining personalized concepts for XBRL using iPAD‐drawn fuzzy sets

An efficient and effective analysis of business data requires a better understanding of what the data represents, and to what degree. A human‐like way of accomplishing that without being too detailed yet learning more about data content is to summarize and map the data into concepts familiar to a person performing analysis. Processes of summarization help identify the most essential facts that are embedded in the data. All this is of significant importance for analysis of large amounts of business data required to make good and sound financial decisions. There are two aspects enabling more comprehensive yet easier processing of data: a standardized representation format of financial data; and a human‐friendly way of defining concepts and using them for building personalized models representing processing data. The first of the aspects has been addressed by the eXtensible Business Reporting Language (XBRL)—a standardized format of defining, representing and exchanging corporate and financial information. The second aspect is related to providing individuals with the ability to gain understanding of data content via determining a degree of truth of statements summarizing data based on their own perception of concepts they are looking for. In this paper, we introduce a tablet application—Tablet‐based input of Fuzzy Sets (TiFS)—and demonstrate its usefulness for entering personalized definitions of concepts and terms that enable a quick analysis of financial data. Such analysis means utilization of soft queries and operations of aggregation that extract and summarize the data and present it in a form familiar to analysts. The application allows for defining concepts and terms with ‘finger‐made’ drawings representing a person's perception of concepts. Further, these definitions are used to build summarization statements for exploring XBRL data. They are equipped with ‘drawn’ definitions of linguistic terms (e.g. LARGE, SMALL, FAST) and linguistic quantifiers (e.g. ALL, MOSTLY), and enable summarization of data content from the perspective of a user's interests. The ‘drawn’ linguistic terms and quantifiers represent membership functions of fuzzy sets. Utilization of fuzzy sets allows for performing operations of data summarization in a human‐like way. The application of TiFS illustrates ease of inputting personalized definitions of concepts and their influence on the interpretation of data. This introduces aspects of personalization and adaptation of artificial intelligence systems to perceptions and views of individuals. The proposed application is used to perform a basic analysis of an XBRL document.     

The ATO Longitudinal Information Files (ALife): A New Resource for Retirement Policy Research

The Australian Taxation Office release of annual longitudinally linked individual tax and superannuation records, known as the ATO Longitudinal Information Files (ALife), opens up opportunities for new research. In this study, we provide an overview of ALife, focusing on its use for retirement income research. To this end, we provide the first longitudinal estimates of superannuation outcomes for 1-year birth cohorts. Results show marked increase in disparity of super balances in the lead-up to retirement as those in the top quartile ramp-up their contributions, possibly to take advantage of the favourable tax treatment of superannuation income in retirement years.     

Benchmark Invariancy,Seasonality and APM-Free Portfolio Performance Measures

The Jobson-Korkie (1981) Z score and the positive period weighting (PPW) score of Grinblatt and Titman (1989) are applied to various benchmarks of market and mimicking portfolios to study the benchmark invariancy problem. Significantly different portfolio performance inferences are found for a sample of 146 equity mutual funds depending on the mean-variance efficiency of the portfolio benchmarks (mimicking portfolios versus market indices). Portfolio performance inferences are affected significantly by the number of factors, nonsynchronous trading adjustment, and the sizes of the firms used for factor extraction. The returns of the portfolio benchmarks exhibit significant monthly seasonalities, which, in turn, significantly influence mutual fund performance inferences.     

How do Mainland Chinese travelers choose restaurants in Hong Kong?: An exploratory study of individual visit scheme travelers and packaged travelers

The introduction of the Individual Visit Scheme (IVS), which allows Mainland Chinese travelers (hereafter called Chinese travelers) to visit Hong Kong on an individual basis, has been beneficial to the fast recovery of the local economy in Hong Kong from severe acute respiratory syndrome (SARS). The IVS travelers, together with the packaged travelers who visited Hong Kong by joining packaged tours, are presently forming the largest segment of inbound travelers to Hong Kong. Despite the significant economic contributions of Chinese travelers to Hong Kong in general, and to the foodservice sector in particular, there has been an absence of prior studies on IVS travelers’ behavior of selecting restaurants in the existing hospitality and tourism literature. This paper reports on an exploratory study that investigated the perceived importance of attributes that pertain to the selection of restaurants from the perspective of IVS and packaged travelers from Mainland China. Empirical findings of a questionnaire survey with 230 Chinese travelers, including 127 IVS travelers and 103 packaged travelers, showed that the respondents in general viewed the included attributes as relatively important. In addition, only two attributes exhibited significant differences between IVS and packaged travelers. Findings of this research would be useful for hospitality and tourism practitioners to better prepare for receiving the growing number of Chinese travelers.     

Transport energy futures: Exploring the geopolitical dimension

The future of road transport, being currently reliant on carbon-based liquid fuels, is largely unclear. Some advocate the necessity of single renewable energy paradigm, but its realization is potentially fraught with difficulty owing to technological challenges, existing sunk costs, and path dependencies associated with existing and emerging options. It could also result in disadvantageous outcomes to emerging economies. Another school of thought proposes that future road transport, even within single nations, will require multiple energy types, mainly because a single source will be insufficient to meet projected needs. A multiple paradigm has the potential to be expensive because several infrastructures have to be implemented simultaneously. This paper aims to assess both concepts by considering the largely neglected dimensions of resource location and regional geophysical attributes, in addition to national technical expertise, industry capacity and modal factors. Case studies from both the developed world (the European Union and Australia) and the developing world (sub-Saharan Africa and China) will assess the possibility of implementing a single transport energy paradigm versus a more pluralistic regime. The results will help to inform policy making and enable greater foresight with regard to making long-term transport infrastructure investment decisions.