The diffusion of mobile payments: Profiling the adopters and non-adopters,Roger's way

This study aims to establish various market segments based on consumers' attitudinal elements influencing the adoption of mobile payments (m-payments). It also examines the best discriminators between identified clusters of m-payment users. Three hundred and sixty m-payment users participated in the study. Cluster and discriminant analyses were employed for the analysis. The findings suggest that two segments are established, and strategies can be developed accordingly. The study provides marketers with numerous touchpoints to propagate the adoption of m-payment apps. It also comprehensively explains m-payment users in developing economies by superimposing the cohorts to Roger's diffusion of innovation model.     

Dynamics of the Market for Corporate Tax‐Avoidance Advice*

This paper addresses the debate over aggressive tax‐planning models and analyzes the role of tax consultants. It focuses on the dynamic interaction between innovation and imitation of aggressive tax‐planning products and governmental tax regulation, and it highlights the importance of the length of regulatory lag in comparison with the time it takes the tax‐consulting industry to imitate newly innovated tax‐avoidance products. It reveals an alignment of interests between highly innovative tax‐consulting firms and the governmental tax legislator/regulator. The conclusions are also relevant for the policy debate on mandatory disclosure rules about aggressive tax‐planning models.     

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.     

突发公共事件对电影行业影响的量化研究

人工收集和整理2012—2018年在中国市场上映的首轮院线电影信息数据，构建电影需求的嵌套logit回归模型，以新冠肺炎疫情为准自然实验，来量化突发公共事件对电影行业复产复工的影响。结果显示：第一，关于上映时间选择，在恢复营业后，如果所有因为疫情尚未上映的电影选择顺延上映能有效避免过度竞争的局面。第二，关于上映节奏控制，控制好未定档电影的上映节奏，保持适当的竞争能促进经济效益提升。其中，从11月份开始以每周两部的频率上映未定档电影的经济效益最佳。第三，关于上映方式选择，与线下播放相比，疫情期间选择线上播放能及时收回成本并有利于经济收益最大化的实现。研究结论为电影行业制定复产复工策略提供依据，为未来应对突发公共卫生事件提供参考。     

Time preference and international trade

We first consider a closed model, where households' time discount depends on externality in consumption. We can prove that there is a unique steady state, which is a saddle point. Then we extend the model to a two‐country world, and derive the condition on the effects of consumption externality under which there is a unique free trade steady state with saddle‐point stability.     

Analysis of Bitcoin prices using market and sentiment variables

This paper proposes an empirical model for analysing the dynamics of Bitcoin prices. To do this, we consider a vector error correction model over two overlapping periods: 2010–17 and 2010–19. Price discovery is achieved through the Gonzalo–Granger permanent‐transitory decomposition. The pricing factors are endogenous linear combinations of the S&P 500 index, gold price, a Google search variable associated to Bitcoin and a fear index proxied by the FED Financial Stress Index. Our empirical analysis shows that during the first period, a linear combination of four pricing factors describes the efficient Bitcoin price. The S&P 500 index and Google searches have a positive effect whereas gold prices and the fear index have a negative effect. In contrast, during the second period, the efficient price behaves idiosyncratically and can be only rationalised by individuals' search for information on the cryptocurrency. These findings provide empirical evidence on the presence of a correction in Bitcoin prices during the period 2018–19 uncorrelated to market fundamentals. We also show that standard empirical asset pricing models perform poorly for explaining Bitcoin prices.     

Mind the channel! An affordance perspective on how digital voice channels encourage or discourage employee voice

We apply an affordance lens on qualitative data from three case organisations using a digital voice channel providing employees with the opportunity to speak up via answering periodic mini‐surveys and making comments in an anonymous mini‐forum. We find that imbrications of material and social agencies (i.e., the voice channel's features and managerial reactions to voice) in the respective organisational contexts culminate in employees perceiving the channel as either affording or constraining voice, leading to perceived voice outcomes that eventually encourage or discourage them to speak up. Whether voice is encouraged or discouraged partly results from the mere interaction between employees and the digital voice channel independent of managerial reactions. Our findings thus challenge the emphasis on managerial behaviour and reactions to voice in explaining voice behaviour and outcomes in extant literature.     

Hands-off? Lessons from high-touch professionals about going virtual

The COVID-19 crisis has fundamentally changed how many businesses operate and connect with their customers. Previously unheard-of government restrictions and sheltering-in-place requirements forced most professional services to transition to remote delivery methods (e.g., email, telephone, video consults, Shopify storefronts). Providers of low-touch services (e.g., lawyers, accountants) naturally lent themselves to remote delivery; however, those that offer high-touch services, particularly those in healthcare (e.g., doctors, chiropractors, physical therapists), experienced a drastic change in working conditions when going virtual. Despite a long history of resistance to virtual delivery, the pandemic created an unprecedented incentive for these high-touch professionals to experiment with underutilized care models such as telehealth: the provision of healthcare services remotely using telecommunications technologies. We examine the rapid adoption of telehealth during COVID-19 through the coming together or convergence of previously unrelated technologies, spaces, and practices. Our analysis reveals opportunities and challenges associated with going hands-off that apply to many other professionals providing high-trust services. Specifically, we offer nine guiding principles for building and protecting cognitive and affective trust in virtual and hybrid delivery models. This is important given the pace of compounding technology convergences that lie ahead for service professionals.     

INDIFFERENCE PRICES AND IMPLIED VOLATILITIES

We consider a general local‐stochastic volatility model and an investor with exponential utility. For a European‐style contingent claim, whose payoff may depend on either a traded or nontraded asset, we derive an explicit approximation for both the buyer's and seller's indifference prices. For European calls on a traded asset, we translate indifference prices into an explicit approximation of the buyer's and seller's implied volatility surfaces. For European claims on a nontraded asset, we establish rigorous error bounds for the indifference price approximation. Finally, we implement our indifference price and implied volatility approximations in two examples.     

MODELING SOVEREIGN RISKS: FROM A HYBRID MODEL TO THE GENERALIZED DENSITY APPROACH

Motivated by the European sovereign debt crisis, we propose a hybrid sovereign default model that combines an accessible part taking into account the evolution of the sovereign solvency and the impact of critical political events, and a totally inaccessible part for the idiosyncratic credit risk. We obtain closed‐form formulas for the probability that the default occurs at critical political dates in a Markovian setting. Moreover, we introduce a generalized density framework for the hybrid default time and deduce the compensator process of default. Finally, we apply the hybrid model and the generalized density to the valuation of sovereign bonds and explain the significant jumps in long‐term government bond yields during the sovereign crisis.