Weak and strong multimarket bidding rings

We consider bidders who are simultaneously participating in private value second-price sealed bid auctions in multiple markets. While active in each market, each bidder is associated with a unique home market in which it can potentially serve as a ring center. Pairs of bidders can establish bilateral agreements to be members of bidding rings in each others’ home markets. Rings can be weak or strong depending respectively on whether side payments are permitted or not. Weak multimarket rings have been shown to take the form of exclusive groups of completely connected bidders. We consider strong multimarket bidding rings and show that they assume a radically different architecture of dominant groups, stars, and interlinked stars. Since bidding rings are tacit, and therefore unobservable, we develop observable implications of multimarket rings that can detect the existence of collusion as well as its form (i.e., weak or strong).     

Integrated Reporting in an Internet and Social Media Communication Environment: Conceptual Insights

This paper discusses the potential role of Internet communication technologies, including social media, in the integrated reporting process. A media richness framework provides a conceptual basis to examine the features of Internet technologies, which can facilitate the important external communication aspect of integrated reporting. We find that Internet technologies possess rich features and capabilities that have potentially significant application in enhancing external communications with integrated reporting stakeholders. We also identify risks and challenges associated with utilising Internet technologies to enable the external communication aspect of integrated reporting. Through its focus on the potential role of Internet communication technologies in integrated reporting, the paper extends the nascent integrated reporting literature and accounting communications research. The paper also offers practical guidance and insights for business and accounting's integrated reporting communication practices. To our knowledge, this is the first conceptual paper to comprehensively examine the role of Internet communication technologies in integrated reporting.     

Reconsidering the welfare cost of inflation in the US: a nonparametric estimation of the nonlinear long-run money-demand equation using projection pursuit regressions

This paper, first, estimates the appropriate, log–log or semi-log, linear long-run money-demand relationship capturing the behavior US money demand over the period of 1980:Q1–2010:Q4, using the standard linear cointegration procedures found in the literature, and the corresponding nonparametric version of the same based on projection pursuit regression (PPR) methods. We then, compare the resulting welfare costs of inflation obtained from the linear and nonlinear money-demand cointegrating equations. We make the following observations: (i) the appropriate money-demand relationship for the period of 1980:Q1–2010:Q4 is captured by a semi-log function; (ii) based on the estimation of semi-log cointegrating equations, the welfare cost of inflation was found to at the most lie between 0.0131 % of GDP and 0.2186 % of GDP for inflation rates between 0 and 10 %, and; (iii) in comparison, the welfare cost of inflation obtained from the semi-log non-linear long-run money-demand function, derived using the PPR method, for 0–10 % of inflation ranges between 0.4930 and 1.9468 % of GDP. However, the standard errors associated with the welfare cost estimates obtained from PPR relative to the linear models tend to indicate that the nonlinear money demand provides more precise estimates of the welfare costs primarily for higher rates of inflation.     

Street Name Fluency and Housing Prices

This paper examines whether and how street name fluency affects housing prices using a rich sample of housing transactions in Sydney, Australia. We find street names with longer words are preferred, i.e., homes on street names with more letters are priced with a 0.6% premium. Homes with unique street names are sold 1.6% (or A$10,835) higher than those with more common names, implying disfluency and uniqueness preference. Moreover, homes with less fluent street names are valued more conditional on the street name is rare or the home is in the luxury price range. This is consistent with the consumption context effect in the psychology literature that in the context of special occasion high-end goods, lower fluency and grater uniqueness makes the products feel more desirable and valuable.

While we show disfluency preference on aggregate, we also find evidence of fluency preference by non-English speaking buyers and for new developments. Preferences for royal names or popular words proxied by Google Trends are also documented. Overall, our findings shed light on understanding how name fluency affects the investment decision of special occasion goods such as real estate.

     

Exploring usage of mobile banking apps in the UAE: a categorical regression analysis

The banking sector has seen major changes with advances in technology. Electronic financial transactions are gradually taking over traditional banking services in terms of transferring funds, utility payments, insurance premium, mortgages and even stock trading. Despite the widespread popularity of smartphones and the advantages of mobile banking, the adoption rates of the mobile apps have been very low all over the world. Our study explored the consumer acceptance of mobile apps in the United Arab Emirates (UAE) by using a structured online questionnaire that was designed using standard variables from the Technology Acceptance Model. Principal component analysis was used to identify and score these factors for the subsequent categorical regression analysis. Consumers were assigned numerical categories depending on their level of usage of the app, and the CATREG nonlinear technique was used to determine the significance of technology acceptance factors. The results show that almost two-thirds of the sample were currently using Mobile Banking apps, and they predominantly belonged to the 30–40 age-group. Perceived usefulness and available information were identified as the main factors influencing acceptance and level of usage of mobile banking apps. This study makes a significant contribution to the existing literature by identifying consumers according to their level of usage and adopting the categorical regression model, which has not been attempted earlier. The results provide important insights for banking professionals in the UAE, in terms of marketing initiatives, information technology and customer service.

     

Lenders’ pricing strategy: Do neighborhood risks matter?

This article explores the different pricing strategies of lenders who originate both government-sponsored enterprise (GSE) and non-GSE loans. We find that conditional on loan and borrower characteristics and some observable local economic factors, mortgage rates on GSE loans vary significantly across regions. However, we observe no sizable regional variation in loan amounts or default risk. By contrast, the mortgage rates on non-GSE loans depend almost entirely on borrowers and loan characteristics. In addition, we find that spatial variations in GSE mortgage rates are highly responsive to regional prepayment risk. Our results are robust to various controls for neighborhood characteristics, including regional-level bank competition, borrower accessibility to mortgages, and household income levels. Overall, the findings offer a novel insight into how lenders adjust pricing strategies in response to a changing lending environment. The results provide implications relating to the present and imminent dangers of housing bubbles and the intensified refinancing wave following the COVID-19 pandemic.