Examining the role of store design on consumers’ cross-sectional perceptions of retail brand loyalty

This paper compares new and established store design prototypes of the same retailer to examine the role of consumers’ cross-sectional perceptions of retail brand loyalty. In-store surveys were administered to capture consumers’ store-level perceptions towards a new store prototype and an older established prototype of the same fast fashion retailer. The data was subjected to multi-group analyzes with structural equations modeling. The findings suggest that store novelty and complexity promote both store design pleasure and retail brand loyalty outcomes. The different store designs do not, however, account for differences in brand loyalty perceptions at the overall retailer level when multi-group comparisons of both store designs are made. Consumers of newer store designs are found to possess a heightened sensitivity to price perceptions. Managerial implications of the effects of store novelty and complexity on retail brand loyalty are also presented.     

Investment and the real exchange rate’s profitability channel in Mexico

The paper estimates different versions of an equation for private investment in Mexico during the post-liberalization period 1988–2013, with the aim of studying the operation of the recently discussed real exchange rate’s profitability channel. During this period, the real exchange rate (RER) was broadly positively correlated with the Mexican price/wage ratio and the Mexican/US relative profit margin in the manufacturing sector, particularly so when the RER experienced large fluctuations, before the end of disinflation in the early 2000s. In the estimations, the effect of the profit margin appears to be ‘deeper’, wiping out the effect of the RER when the two variables are included together in the investment equation. From this, the paper argues that the positive effect of the RER on investment, observed in previous studies that omitted the profit margin, reflects indirectly the positive link of the RER with the profit margin, supporting the existence of a profitability channel in Mexico.     

Organizational antecedents and competitive consequences of environmental proactivity in the hotel industry

This research simultaneously examines the influence of organizational design variables (specialization, decentralization, formalization, link mechanisms, and informal social relations) on environmental proactivity, and the impact of this environmental proactivity on the competitiveness of hotels. The joint analysis of causes and consequences of environmental proactivity, and the relationship between organizational design and environmental management are topics that have rarely been explored in the literature. Using structural equation modeling methodology, a model is empirically tested using a survey instrument that was distributed to hotels in Spain. The findings indicate that specialization, formalization, link mechanisms, and informal social relations are effective coordination mechanisms to foster environmental proactivity. Moreover, the most effective way of encouraging the implementation of environmental practices is formalization. The findings also show that environmental proactivity contributes to improving competitive advantage in terms of both cost and differentiation.     

FROM SMILE ASYMPTOTICS TO MARKET RISK MEASURES

The left tail of the implied volatility skew, coming from quotes on out‐of‐the‐money put options, can be thought to reflect the market's assessment of the risk of a huge drop in stock prices. We analyze how this market information can be integrated into the theoretical framework of convex monetary measures of risk. In particular, we make use of indifference pricing by dynamic convex risk measures, which are given as solutions of backward stochastic differential equations, to establish a link between these two approaches to risk measurement. We derive a characterization of the implied volatility in terms of the solution of a nonlinear partial differential equation and provide a small time‐to‐maturity expansion and numerical solutions. This procedure allows to choose convex risk measures in a conveniently parameterized class, distorted entropic dynamic risk measures, which we introduce here, such that the asymptotic volatility skew under indifference pricing can be matched with the market skew. We demonstrate this in a calibration exercise to market implied volatility data.     

DYNAMIC PORTFOLIO OPTIMIZATION WITH A DEFAULTABLE SECURITY AND REGIME‐SWITCHING

We consider a portfolio optimization problem in a defaultable market with finitely‐many economical regimes, where the investor can dynamically allocate her wealth among a defaultable bond, a stock, and a money market account. The market coefficients are assumed to depend on the market regime in place, which is modeled by a finite state continuous time Markov process. By separating the utility maximization problem into a predefault and postdefault component, we deduce two coupled Hamilton–Jacobi–Bellman equations for the post‐ and predefault optimal value functions, and show a novel verification theorem for their solutions. We obtain explicit constructions of value functions and investment strategies for investors with logarithmic and Constant Relative Risk Aversion utilities, and provide a precise characterization of the directionality of the bond investment strategies in terms of corporate returns, forward rates, and expected recovery at default. We illustrate the dependence of the optimal strategies on time, losses given default, and risk aversion level of the investor through a detailed economic and numerical analysis.     

MULTIFRACTIONAL STOCHASTIC VOLATILITY MODELS

The aim of this work is to advocate the use of multifractional Brownian motion (mBm) as a relevant model in financial mathematics. mBm is an extension of fractional Brownian motion where the Hurst parameter is allowed to vary in time. This enables the possibility to accommodate for varying local regularity, and to decouple it from long‐range dependence properties. While we believe that mBm is potentially useful in a variety of applications in finance, we focus here on a multifractional stochastic volatility Hull & White model that is an extension of the model studied in Comte and Renault. Using the stochastic calculus with respect to mBm developed in Lebovits and Lévy Véhel, we solve the corresponding stochastic differential equations. Since the solutions are of course not explicit, we take advantage of recently developed numerical techniques, namely functional quantization‐based cubature methods, to get accurate approximations. This allows us to test the behavior of our model (as well as the one in Comte and Renault) with respect to its parameters, and in particular its ability to explain some features of the implied volatility surface. An advantage of our model is that it is able both to fit smiles at different maturities, and to take volatility persistence into account in a more precise way than Comte and Renault.     

Herding,trend chasing and market volatility

We introduce a heterogeneous agent asset pricing model in continuous-time to show that, although trend chasing, switching and herding all contribute to market volatility in price and return and to volatility clustering, their impacts are different. The fluctuations of the market price and return and the level of the significant autocorrelations (ACs) of the absolute and squared returns increase with the intensities of herding and trend chasing based on long time horizon. However an increase in switching intensity reduces the return volatility and in particular a low switching intensity reduces the price volatility and increases the level of the significant ACs, but the effect becomes opposite when the switching intensity is high. We also show that market noise plays a more important role than fundamental noise on the power-law behavior of returns.     

Numerical solutions to an integro-differential parabolic problem arising in the pricing of financial options in a Levy market

We study the numerical solutions for an integro-differential parabolic problem modeling a process with jumps and stochastic volatility in financial mathematics. We present two general algorithms to calculate numerical solutions. The algorithms are implemented in PDE2D, a general-purpose, partial differential equation solver.     

电子商务、物流配送效率与城乡消费差距——基于面板数据联立方程的研究

电子商务的日益常态化正在改变城乡居民的消费水平,而物流配送效率对电子商务良好发展与居民最终消费体验又发挥着不可忽视的作用.采用面板数据联立方程模型,分别从全国层面与区域层面研究电子商务、物流配送效率与城乡消费差距三者之间的联动效应.研究发现,电子商务的发展与物流配送效率之间呈现双向促进的关系,且电子商务通过提高物流配送效率能够间接缩小城乡消费差距,同时三者之间的关系存在显著区域差异.     

我国消费、投资及净出口与经济增长研究--基于资源与环境的双重约束

基于我国1998-2010年的宏观经济数据,文章通过建立联立方程模型,对我国消费、投资及净出口与经济增长进行实证分析。结果表明：我国的经济增长与资源消耗之间存在着“倒U型”的非线性曲线关系;消费、投资及净出口增长对我国经济增长的拉动效应不同,其中居民消费的拉动效率最强;产业结构升级对资源消耗的抑制作用较为显著。