Using Forecasting Criteria to Identify Value Relevance in the Relationship Between Accounting Numbers and Market Value

We explain and demonstrate a disciplined and systematic approach to repeatable modelling using forecast criteria, in addition to the usual statistical estimation criteria, to identify value relevance in regressions of the market‐accounting relation. The method was used in Cooke et al. ( 2009 ). It is illustrated here in the case of a single firm over a 59‐year period. Market and accounting data for the U.S. firm Abbott Laboratories Inc. from 1955 are modelled using a testing‐down, error correction approach. Hold‐out samples of 10 to 15 years are used to assess forecasting performance relative to a random walk. Emphasis is placed upon the use of simple, directly observable and theory‐independent model variables that can be replicated with other sample data. In this case, logarithmic transformations of all variables have to be computed in order to achieve correct statistical specification, implying a multiplicative relationship in the raw data. The strongest cointegrating accounting variable with forecasting ability for Abbott's market value is earnings. The model parameters exhibit long‐run stability and the accounting regressor marginally improves forecasts of market value compared to a random walk, demonstrating ‘value relevance’.     

中国股市非系统风险被定价的实证研究

以Campbell模型为基础,建立预测回归方程,利用1995至2005年沪、深两市的数据,从宏观角度研究中国股票市场非系统风险对市场超额收益率的预测关系。实证结果表明,非系统风险对市场超额收益率具有显著的正预测能力;在控制流动性效应后,结果具有稳健性;非预期市场流动性对市场超额收益率具有显著的正效应,而系统风险和预期市场流动性对市场超额收益率没有预测能力。这些结果表明非系统风险被定价,同时也可以为中国股票市场机构投资者热衷集中持股现象做出理论解释。     

Assessing mainland Chinese tourists' satisfaction with Hong Kong using tourist satisfaction index

The purpose of this study is to test a two‐step tourist satisfaction index framework empirically. The first step estimates sectoral‐level satisfaction indexes based on a structural equation model, and the second obtains an overall tourist satisfaction index by conducting second‐order confirmatory factor analysis. This study is a pilot test of the theoretical framework based on three tourism‐related service sectors in Hong Kong. The results indicate that mainland Chinese tourists are most satisfied with the hotel sector in Hong Kong, followed by the retail sector, and least satisfied with local tour operators. The aggregate tourist satisfaction index is 74.04 out of 100. The results of this study have important practical implications for long‐term destination management. Copyright © 2010 John Wiley & Sons, Ltd.     

All hype or the real deal? Investigating user engagement with virtual influencers in tourism

Virtual influencer (VI) marketing has become increasingly prevalent on social media with the evolving landscape of digitalisation. However, the use of VIs in tourism has received limited attention in the literature. This study examines salient source and content attributes that stimulate Instagram users’ engagement with VIs in a tourism context. An online discrete choice experiment was designed using key attributes (i.e. source realness, image composition and caption discourse) identified from online focus groups. Survey responses from 309 adult Instagram users in Australia were analysed through discrete choice modelling. The findings indicate that humanlike VIs are preferred over 3D animated VIs and the least preferred influencers are 2D animated VIs. Instagram posts from humanlike VIs that combine images of tourism settings with rational messages attract the most engagement from the audience. Theoretical and practical implications are provided with recommendations for how tourism practitioners can harness VI marketing effectively.     

Tick size and market quality: Simulations based on agent‐based artificial stock markets

This paper investigates the way that minimum tick size affects market quality based on an agent‐based artificial stock market. Our results indicate that stepwise and combination systems can promote market quality in certain aspects, compared with a uniform system. A minimal combination system performed the best to improve market quality. This is the first study to analyse tick size systems that remain at the theory stage and compare four types of system under the same experimental environment. The results suggests that a minimal combination system could be considered a new direction for market policy reform to improve market quality.     

Spatial statistical modelling of insurance risk: a spatial epidemiological approach to car insurance

Spatial models, such as the Besag, York and Mollie (BYM) model, have long been used in epidemiology and disease mapping. A common research question in these subjects is modelling the number of disease events per region; here the BYM models provides a holistic framework for both covariates and dependencies between regions. We use these tools to assess the relative insurance risk associated with the policyholders geographical location. A Bayesian modelling approach is presented and an elastic net is used to reduce the large number of possible geographic covariates. The final inference is performed using Integrated Nested Laplace Approximation. The model is applied to car insurance data from If P&C Insurance together with spatially referenced covariate data of high resolution, provided by Insightone. The entire analysis is performed using freely available R-packages. Including spatial dependence when modelling the number of claims significantly improves on the result obtained using ordinary generalised linear models. However, the support for adding a spatial component to the model for claims cost is weaker.