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Using a GED-GARCH model to estimate monthly data from January 1990 to February 2022, we test whether gold acts as a hedge or safe haven asset in 10 countries. With a downturn of the stock market, gold can be viewed as a hedge and safe haven asset in the G7 countries. In the case of inflation, gold acts as a hedge and safe haven asset in the United States, United Kingdom, Canada, China, and Indonesia. For currency depreciation, oil price shock, economic policy uncertainty, and US volatility spillover, evidence finds that gold acts as a hedge and safe haven for all countries.

In the stock market, herding behavior occurs when investors mimic the actions of others in their investment decisions. As a result, the market becomes inefficient and speculative bubbles form. This study aims to investigate the relationship between information, overconfidence, market sentiment, experience and national culture, and herding behavior among Malaysian investors. A total of 400 questionnaires are distributed to bank institutions' investors. The survey design based on cross-sectional data is analyzed using the Partial Least Squares Structural Equation Model. The results indicate that information, market sentiment, experience, and national culture are positively related to herding behavior, while overconfidence has no effect. With this, the government should strengthen regulations to prevent the dissemination of misleading information. Moreover, investors are encouraged to overcome narrow thinking by expanding their understanding of different cultures when making investment decisions.

Findings in the literature indicate leading financial analysts attract high levels of market attention and provide more accurate earnings forecasts prior to becoming all-star analysts. Furthermore, these analysts significantly impact the investment decisions of other market participants and thus the market price of assets. Therefore, this study examines the information role of leading financial analysts and identifies two significant conclusions. First, the positive outcomes of these analyst leaders are more informative and attract more followers. Second, informational herding by followers of these analysts is not as naïve as suggested in previous studies, as followers who smartly use information from analyst leaders tend to perform better. We also find that analysts who practice smart learning by studying and selectively employing analyst-leader decisions achieve better career outcomes.

The COVID-19 pandemic had severely impacted global commerce, leading to market closure and travel restrictions. Due to the extreme limitations on shopping and market possibilities, consumers’ buying habits have changed significantly and they are still changing what they buy and how they purchase for everyday necessities. They are trying to shop locally, carefully, and economically. Consumers are buying their stuff from wherever goods are available. Purchasing nonessential items is restricted. Restaurants, tourism, apparel, and furniture are the industries that have been impacted the most. The objective behind this study is to find out the post-COVID-19 effects on consumer buying of essentials from a convenience store over hypermarkets and how consumer behavior will revive postpandemic toward retail shopping. In the study, responses were collected through structured questionnaire to explore the consumer buying behavior for their daily essentials both at convenience stores and hypermarkets. The study reveals that consumers prefer to buy essential commodities/goods of daily needs from convenience store compared to hypermarket due to the risk of being exposed to COVID-19 pandemic and this behavior will change future trend of retail shopping experience. The major limitation of the study is sampling frame. Future studies can replicate this study in different context with different target population. Pertaining to the current ongoing situations of the pandemic, a very high percentage of the respondents would still choose nearby convenience stores over hypermarkets. This study estimates the behavioral change in retail consumers in future; therefore, it suggests retailers adopt innovative marketing strategy in future.

Road transport networks might face the most significant transformation in the following decades, mostly due to the anticipated introduction of Connected and Automated Vehicles (CAVs). The introduction of connectivity and automation will be realised gradually. There are distinctive levels of automation starting from single-dimension automated functionalities, such as regulating the vehicle’s longitudinal behaviour via Adaptive Cruise Control (ACC) systems. Although the technological readiness level is undeniably far from full vehicle automation, there are already commercially available lower-level automated vehicles. The penetration rate of vehicles equipped with Advanced Driver Assistance Systems (ADAS) such as ACC or Cooperative-ACC is constantly increasing bringing new driving behaviours into existing infrastructure, especially on motorways. Lately, several experiments have been conducted with platoons of ACC and CACC-equipped vehicles aiming to study the characteristics and properties of the traffic flow composed by them. This chapter aims to gather the most significant efforts on the topic and present the recent status of research and policy. The impact analysis presented within this chapter is multi-dimensional spanning from traffic flow oscillations and string stability, traffic safety to driving behaviour, energy consumption, and policy, all factors where automation has the potential to contribute to a more sustainable transport system. Investigations through analytical approaches and simulation studies are discussed as well, in comparison to empirical insights, attempting to generalise experimental conclusions. At the end of this chapter, the reader should have a clear view of the existing and potential benefits of CAVs but also the existing and future challenges they can bring.

This study aims to determine the export price pass-through elasticity, specifically for Indian exports. It employs static and dynamic panel data techniques to estimate these elasticities. Notably, the pass-through effect is more significant in the long term compared to the short term. The dynamic panel analysis, considering broader economic factors, identifies trade openness and global demand as statistically significant in explaining export price variations. Additionally, the study reveals that the response of export prices to exchange rate changes depends on the nature of those changes, with depreciation having a lesser impact than appreciation. Furthermore, this chapter emphasizes the importance of analyzing these effects at the product level for a comprehensive understanding of the underlying mechanisms. The implications of these findings underscore the crucial role of exchange rates as a policy tool for promoting exports and economic growth, as well as their potential in reducing current account deficits.

Visual stimuli are integral for the destination selection process, as well as for the delivery of unique, novel and compelling tourist experiences. Emerging techniques, such as eye-tracking, are effective for mapping tourists' visual interests and paths, presenting an opportunity to identify patterns of visual attention, which provide insights into the underlying cognitive processes which underpin experiences. Building on a systematic review of the progress and development of eye-tracking in tourism field, this chapter summarises five main current research contexts for application and five future research directions. It also narrows the gap between eye-tracking and cognitive psychology by critically examining bottom-up and top-down attentional mechanisms.