Banking deregulation and allocative efficiency in Pakistan

This article examines the impact of deregulation policies on allocative efficiency of banks in Pakistan. It investigates whether deregulation has impacted the pattern of allocative efficiency of banks and explores which bank ownership segment has been more responsive. It uses data from 1991 to 2005 and explicitly models allocative inefficiency by using the translog shadow cost-share system. Empirical results show that overregulation and imperfect market structure hampers the ability of banks to make competitive decisions. We find evidence of allocative inefficiency leading to over-utilization of labour and deposits vis-à-vis operating cost. Empirical results for time-varying allocative efficiency show declining levels of allocative inefficiency for state-owned and private banks in post-reform period. Deregulation policies induce state-owned banks to decrease over-utilization of labour relative to deposits and operating cost while private banks succeed in using operating cost closer to optimal levels. Hence, policymakers have latitude to introduce more reforms without jeopardizing allocative efficiency.     

Optimal rules and robust Bayes estimation of a Gamma scale parameter

For estimating an unknown scale parameter of Gamma distribution, we introduce the use of an asymmetric scale invariant loss function reflecting precision of estimation. This loss belongs to the class of precautionary loss functions. The problem of estimation of scale parameter of a Gamma distribution arises in several theoretical and applied problems. Explicit form of risk-unbiased, minimum risk scale-invariant, Bayes, generalized Bayes and minimax estimators are derived. We characterized the admissibility and inadmissibility of a class of linear estimators of the form $cX\,{+}\,d$ , when $X\sim \varGamma (\alpha ,\eta )$ . In the context of Bayesian statistical inference any statistical problem should be treated under a given loss function by specifying a prior distribution over the parameter space. Hence, arbitrariness of a unique prior distribution is a critical and permanent question. To overcome with this issue, we consider robust Bayesian analysis and deal with Gamma minimax, conditional Gamma minimax, the stable and characterize posterior regret Gamma minimax estimation of the unknown scale parameter under the asymmetric scale invariant loss function in detail.     

A note on mean testing for high dimensional multivariate data under non‐normality

A test statistic is considered for testing a hypothesis for the mean vector for multivariate data, when the dimension of the vector, p, may exceed the number of vectors, n, and the underlying distribution need not necessarily be normal. With n,p→∞, and under mild assumptions, but without assuming any relationship between n and p, the statistic is shown to asymptotically follow a chi‐square distribution. A by product of the paper is the approximate distribution of a quadratic form, based on the reformulation of the well‐known Box's approximation, under high‐dimensional set up. Using a classical limit theorem, the approximation is further extended to an asymptotic normal limit under the same high dimensional set up. The simulation results, generated under different parameter settings, are used to show the accuracy of the approximation for moderate n and large p.     

Non-linearities in Real Interest Rate Parity: Evidence from OECD and Asian Developing Economies

Abstract

This paper investigates the validity real interest rate parity (RIP) for a sample of 19 OECD and Asian developing economies. The distinction of this paper is that we exploit both linearity and non-linear unit root tests as advocated by Dufrénot et al. (Applied Economics, 38, pp. 203–229, 2006) to validate the parity. The major finding are: (i) the alignments from real interest rate differentials (RIDs) are corrected in a non-linear fashion and that the adjustments is asymmetric in both size and speed; (ii) that RIP holds for the developed and developing countries; and (iii) the empirical results are invariant with respect to the US, Japan or Germany as the centre country.     

Collaborating for success: managerial perspectives on co-branding strategies in the fashion industry

Abstract

This article investigates the nature of co-branded relationships within the fashion industry. Existing co-branding literature focuses heavily on consumer evaluations, and many studies explore FMCG and electronics markets, within which ingredient co-branding is common. When two brands from the fashion industry collaborate, both brands exist independently and do not rely on ‘ingredients’ for developing a new product and, therefore, presenting an opportunity for exploring the drivers and types of relationships that could exist. This study adopts an interpretive method of investigation using in-depth interviews with brand managers. Findings provide empirical support for value creation through different relationship levels (such as brand/awareness co-branding, values endorsement and complementary competence co-branding) while highlighting some challenges and risks for co-branding in practice. This article discusses implications for theory development and practice and highlights avenues for future research.     

Exchange-rate variability and industry trade flows between Malaysia and Japan

This research investigates the exchange-rate risk sensitivity of Malaysian bilateral trade flows with its important trading partner, Japan. To this end, bounds testing approach to co-integration is applied using industry level data over the monthly period 2000–2013. Findings suggest that above the one-third of the total co-integrated export (43.86%) and import (34.54%), industries experiences the ringgit/yen variability effect in the short run. However, this effect sustains in relatively less number of export (14.03%) and import (32.73%) industries in the long run. It is interesting to note that exchange-rate risk boosts trade flows in the majority of these affected industries.     

Foreign exchange market efficiency under recent crises: Asia-Pacific focus

The Asia-Pacific region’s currency markets are generally efficient within-country when tested using the 30 and 31 cointegration technique whereas market efficiency fails to hold when tested using Fama’s (1984) conventional regression. Using the Pilbeam and Olmo (2011) model, we reconcile these conflicting findings. The Pilbeam and Olmo (2011) model confirms within-country market efficiency. It further confirms that free-float currency markets are more resilient than managed-float currency markets among 12 Asia-Pacific economies. From the across-country perspective, the foreign exchange markets are mostly efficient and the results show that the 1997–1998 Asian financial crisis was a more disturbing event than the 2008–2009 global financial crisis in the region.     

How anticipated regret influences the effect of economic animosity on consumers’ reactions towards a foreign product

We use regret theory to explain the negative effect of economic animosity on consumers’ reactions towards a foreign product (i.e., product judgment and reluctant to buy). We conduct our study in Taiwan by collecting data via an online survey. Our results show that consumers’ economic animosity increases their anticipated regret towards purchasing a foreign product originating from a target market of animosity. Specifically, anticipated regret is found to mediate the link between economic animosity and foreign product judgment, which in turns affects consumers’ reluctance to buy. Our study is the first to consider the role of anticipated regret in explaining the negative effect of economic animosity on consumers’ reactions towards a foreign product. We also contribute to research by introducing two antecedents of economic animosity: perceived economic competition and consumer ethnocentrism.     

Exchange rate policy in the pacific: an evaluation of currency basket regimes

The Pacific island countries have opted for exchange rate regimes with varying degrees of flexibility. Whereas several microstates have adopted an external currency as their legal tender, others have decided to use a basket currency, and yet others have chosen a managed float. The choice of exchange rate regime can have far reaching economic consequences. In the paper, we study the basket currency arrangements by Fiji, Samoa, the Solomon Islands, and Tonga. We first build a new four‐country exchange rate model that illustrates how monetary authorities should best determine the weights of the basket currencies given certain macroeconomic objective functions. In this model, we explicitly include tourism flows. In the second part of the paper, we estimate the de facto weights of foreign currencies in the currency basket of the four countries. We show how the composition has changed amid the global financial crisis. Finally, we demonstrate that the current weights are not optimal compared with the predictions of our model.