Retail formations: tracing the fluid forms of an online retailer

ABSTRACT

Change has often been said to characterise retailing, and research on retail change is extensive. However, though much of that research has focused on retail formats, it has not sufficiently addressed the fluid nature of retailing and how its formats emerge. This paper offers a more dynamic conceptualisation of retail format change by introducing the concept of retail formation. Taking a constructivist market studies approach and drawing upon an ethnographic study of a Swedish consumer electronics retailer, the paper shows how retail formations are continually being made in a dynamic process that can be initiated by various actors, does not necessarily follow a logical order, and commonly produces unexpected results. The concept of retail formation allows us to better understand the increasing fluidity of retailing enabling us to trace complex market processes, examine multiple actors simultaneously, and taking into account the socio-historical and socio-cultural dynamics involved in shaping retail markets.     

Volatility of volatility is (also) rough

Using high-frequency data for major volatility indexes, we compute the volatility of volatility and show that its logarithm follows a fractional Brownian motion with Hurst parameter smaller than 1/2 thereby extending to the volatility asset class the recent findings obtained for the equity index markets. The results confirm that the volatility of volatility is a rough process and it possesses the long memory property. We also show that the correlation between the volatility and the volatility of volatility is positive, consistent with observations in the volatility option market. Lastly, a robustness check using volatility futures confirms the findings.     

International buyer behaviour–commitment relationship: An investigation of the empirical link in importing

Drawing on the resource-based view (RBV) of the firm this article examines relationships between knowledge, trust, communication, volatility and sustainable competitive advantage as the exogenous and endogenous variables with importer commitment as the dependent variable. The primary data was gathered from a survey of 224 commercial and industrial firms, headquartered in Bangladesh, coming from a wide cross section of industries. Statistical analysis was carried out using Structural Equation Modelling via AMOS. The study's key findings revealed that all exogenous/endogenous variables had a significant impact on importer commitment. That is, knowledge, trust, communication, volatility and sustainable competitive advantage had a significant direct impact on importer commitment. Additionally, cultural similarity, communication, volatility and supplier opportunism all had a significant indirect impact on importer commitment. This finding makes a significant contribution to the relational side of the RBV.     

How to make Dupire’s local volatility work with jumps

There are several (mathematical) reasons why Dupire’s formula fails in the non-diffusion setting. And yet, in practice, ad-hoc preconditioning of the option data works reasonably well. In this note, we attempt to explain why. In particular, we propose a regularization procedure of the option data so that Dupire’s local vol diffusion process recreates the correct option prices, even in manifest presence of jumps.     

Optimal transit fare and service frequency of a nonlinear origin-destination based fare structure

This paper proposes a new nonlinear distance-based transit fare structure, which is measured by a function of the Euclidean distance between the origin and destination stations, termed as Origin-Destination (OD)-based fare. The novel fare structure encourages passengers to freely choose the most efficient trip plan. An optimization model is formulated based on a three-party game (involving the transport authority, transit company, and passenger) to determine the optimal fare function and frequency. An artificial bee colony algorithm is adopted to solve the model. Finally, a numerical example is provided to verify the proposed method.     

Modelling the implied volatility surface based on Shanghai 50ETF options

We develop a dynamic factor model to forecast the implied volatility surface (IVS) of Shanghai Stock Exchange 50ETF options. Based on the assumption that dynamic change in IVS is mean-reverting and Markovian, we use a state space model to capture the dynamics of IVS, and set the latent factors to be the Ornstein–Uhlenbeck processes. We obtain the optimal estimations of parameters using the Kalman filter algorithm. Empirical results show that our model performs better than the traditional IVS model in terms of fitting ability and prediction performance.     

Expectations of Working Relationships in International Buyer–Seller Relationships: Development of a Relationship Continuum Scale

This study is an attempt to develop a scale to measure expectations of buyer–seller working relationships on a cross-cultural basis in the hospitality industry. The focus is on North American and Asian hotel salespeople. The scale development drew from previous research in guanxi relationships, purchasing, and selling strategies. While the results did not support a reliable unidimensional scale that could distinguish between transactional and collaborative working relationships, the methodology did create a framework for further scale development.     

Can the North–South trade regime explain intra- and inter-country productivity differences?

The literature identifies North–South disparities in Total Factor Productivity (TFP), which, in turn, justify the bulk of international income differences. By building a dynamic, general equilibrium model of North–South technological-knowledge diffusion with scale-invariant growth, we extend the literature in several directions: (i) growth is driven by Schumpeterian R&D and by high and low-skilled human-capital accumulation; (ii) three trade regimes are considered; (iii) sectoral and aggregate TFP measures are computed; (iv) the extent to which the North–South trade regime explains intra-country TFP and inter-country TFP differences is evaluated. In particular, the results suggest that intra-country TFP differences increase and inter-country TFP differences fall when countries are more interdependent.     

INTEREG: A Twenty-region Input–Output Model for Italy

Since the regional scale turns out to be the scale at which fiscal devolution is likely to be accomplished in Italy, and that at which trade and growth interdependencies as well as regional convergence can be most conveniently investigated, a new 20-region input–output model for Italy seems to be a useful tool of analysis. Although various regional and interregional models have been constructed since the 1950s, none has been implemented for the whole system of 20 Italian administrative regions considered in their tight mutual dependence; also, the pool approach has not been greatly favoured, even in situations where direct information on regional trade is lacking. The main purpose of this paper is to report on the structure of the model, the rather complex procedure used in the model construction and the adopted solution technique. Some space is devoted to the problems encountered in handling regional trade endogenously in an input–output setting and to a comparison between the pool approach, used in the Italian model, and other current techniques. The paper also reports on some preliminary results regarding the regional impact of fiscal policy.