An empirical examination of perceived retail crowding,emotions, and retail outcomes

Crowded retail shopping conditions can result from many shoppers being present during a given time and at a given place, as well as from limited customer space owing to inadequate floor layout design and allocation of fixtures and merchandise on the floor. This study investigated the effects of the perception of human crowding and spatial crowding on consumer shopping behavior through mediation of emotions of pleasure, arousal, dominance, and a feeling of satisfaction in an international market. A store intercept survey was conducted on 554 hypermarket consumers in Taipei, Taiwan. The proposed structural relationships among perceived retail crowding, emotions, and retail outcomes were analyzed by using confirmatory factor analysis and structural equation modeling with Lisrel 8.54.

The results of the study demonstrated the effectiveness of the proposed model in delineating the relationships of retail crowding-emotions-satisfaction-retail outcomes under actual retail environments. The study found that while human crowding perceived during shopping at a hypermarket store positively impacted shoppers' feelings rather than negatively, spatial crowding perceived due to high spatial density negatively impacted shoppers' positive emotions. The findings supported the view that retail crowding affected various shopping activities through influencing positive emotions and summary feelings of satisfaction. Managerial implications of the study were also discussed.     

Improving Volatility Forecasts Using Market‐Elicited Ambiguity Aversion Information

Distinguishing between risk and uncertainty, this paper proposes a volatility forecasting framework that incorporates asymmetric ambiguity shocks in the (exponential) generalized autoregressive conditional heteroskedasticity‐in‐mean conditional volatility process. Spanning 25 years of daily data and considering the differential role of investors' ambiguity attitudes in the gain and loss domains, our models capture a rich set of information and provide more accurate volatility forecasts both in‐sample and out‐of‐sample when compared to ambiguity‐free or risk‐based counterparts. Ambiguity‐based volatility‐timing trading strategies confirm the economic significance of our proposed framework and indicate that an annualized excess return of 3.2% over the benchmark could be earned from 1995 to 2014.     

Intercultural sensitivity and tourism patterns among international students in Korea: using a latent profile analysis

The purpose of this study is to examine the intercultural sensitivity of international students in Korea based on Chen and Starosta’s [(2000). The development and validation of the intercultural communication sensitivity scale. Human Communication, 3, 1–15] intercultural sensitivity scale using a latent profile analysis and to discuss tourism patterns of each group segmented by intercultural sensitivity. According to the analysis, international students were classified by intercultural sensitivity with four groups: introverted observer, defensive bystander, favorable crowd, and veteran. Based on their characteristics and tourism patterns of each group, theoretical and practical implications were suggested. Considering the growing overseas education particularly in non-English-speaking countries and its significant influence on tourism, this study connected the multiple constructs in various fields such as intercultural contact, international student mobility, and tourism, providing a quintessential example of multidisciplinary research.     

Wealth effects of the Basle Accord on small banks

This paper examines the share price reactions of small commercial banks to the announcement of the Basle Accord. Previous studies document that large banks have negative price reactions to the announcement of the accord. Findings here show that small banks have positive share price reactions. Our overall evidence gives some support to the notion that small banks had excessive capital before the Basle Accord, and the Accord created wealth effects in the banking industry.     

Asymmetrical reaction to US stock-return news: evidence from major stock markets based on a double-threshold model

This paper examines the hypothesis that both stock returns and volatility are asymmetrical functions of past information from the US market. By employing a double-threshold GARCH model to investigate six major index-return series, we find strong evidence supporting the asymmetrical hypothesis of stock returns. Specifically, negative news from the US market will cause a larger decline in a national stock return than an equal magnitude of good news. This holds true for the volatility series. The variance appears to be more volatile when bad news impacts the market than when good news does.     

Value Relevance of IAS 27 (2003) Revision on Presentation of Non-Controlling Interest: Evidence From Hong Kong

This study investigates the value relevance of the IAS 27 Consolidated and Separate Financial Statements (2003) revision, which requires the presentation of non-controlling interest as components of equity and earnings. The investigation is carried out in the context of companies publicly listed in Hong Kong during 2004–2006 where IAS 27 (2003) is replaced by the local but word-for-word equivalent standard of HKAS 27 (2004). The results of this study provide strong evidence that the revision has significant value relevance in changing investors' perception about non-controlling interest, which is no longer perceived as liabilities. Investors have apparently not been confused by the revised presentation of non-controlling interest within equity and continue to associate company values only with the equity amount actually owned by the parent company's shareholders. The results of this study give support for the accounting regulator's first move towards the economic unit theory of consolidated financial statements.     

Structural equation model for predicting technology commercialization success index (TCSI)

Expecting high return, many firms try to invest on R&D of new technology. However, critical loss of assets would occur, when a firm fails to commercialize the developed technology. It would be of interest to provide the ideal environment for commercialization from the R&D stage. In this study, we use a structural equation model (SEM) to forecast the technology commercialization success index (TCSI) in relation to technology developer, technology receiver, technology transfer center, and environmental factors. The proposed SEM is fitted based on partial least square (PLS) estimation procedure. Individual TCSI is then found following the approach used for American customer satisfaction index (ACSI) for various combinations of characteristics of the type of technology, technology receiver, and technology developer. We expect that the proposed approach for TCSI can be used as guidance for an ideal match of technology with technology developer and technology receiver.     

Estimation of Housing Price Jump Risks and Their Impact on the Valuation of Mortgage Insurance Contracts

Housing price jump risk and the subprime crisis have drawn more attention to the precise estimation of mortgage insurance premiums. This study derives the pricing formula for mortgage insurance premiums by assuming that the housing price process follows the jump diffusion process, capturing important characteristics of abnormal shock events. This assumption is consistent with the empirical observation of the U.S. monthly national average new home returns from 1986 to 2008. Furthermore, we investigate the impact of price jump risk on mortgage insurance premiums from shock frequency of the abnormal events, abnormal mean and volatility of jump size, and normal volatility. Empirical results indicate that the abnormal volatility of jump size has the most significant impact on mortgage insurance premiums.     

Analyst Earnings Forecasts for Publicly Traded Insurance Companies

Several trends in the insurance and financial services industry, including demutualizationconsolidation, and deregulation, have attracted increasing attention from investors and financial analysts. This paper investigates the accuracy of the earnings forecasts of financial analysts for insurance companies. Our empirical results indicate that analyst forecasts outperform random walk time-series forecasts. Furthermore, we find that both disagreement over earnings forecasts among analysts and the relative forecasting error in the mean forecasts is smaller for life insurers than for property-casualty insurers, whereas the relative errors for forecasts for multiple-line insurers are in between the two. Forecasting error is a negative function of firm size and the number of analysts who are following a company, and is a positive function of the disagreement among analysts.Analyst forecasts have a timing advantage over the random walk model. Our results also suggest that the fair value reporting requirement (SFAS 115), which has been in effect since 1994, has enhanced the accuracy of analyst forecasts. The SFAS 115 has improved the superiority of analyst forecasts over the random walk forecasts for life insurers, but not for property-casualty insurers, and there is a weak improvement for multiple-line insurers. JEL Classification: G15     

Further Evidence on the Integration of REIT,Bond, and Stock Returns

This study examines the integration of REIT, bond, and stock returns. Cointegration and vector autoregressive models are employed to explore the causality and long-run economic linkages among these securities. Our results show that REITs behave more like stocks and less like bonds after the structural changes in the early 1990s. Overall, results suggest that the benefits of diversification by including REITs in multiasset portfolios diminish after 1992.