The Mediating Role of Customer Relationship on the Social Media Marketing and Purchase Intention Relationship with Special Reference to Luxury Fashion Brands

The reach of internet technology and social media has opened abundance of opportunities for marketers as well as for consumers across the globe. To anticipate future purchase behavior of consumers, marketers are not leaving any stone unturned. The main objective of this study is to investigate the direct and indirect impacts of social media marketing activities (entertainment, customization, interaction, word of mouth, and trend) on consumers' purchase intentions in luxury fashion brands. This study employed higher order Structural Equation Modeling to test the study model with (n = 243) sample data. We found positive significant impacts of social media marketing and customer relationships on consumers' purchase intentions. In addition, our study model confirmed full mediation of customer relationships in the relationship between social media marketing and consumers' purchase intentions. Based on our research findings, we strongly recommend that marketers of luxury fashion brands engage in social media marketing activities to provide value to customers.     

What Determines the Sacrifice Ratio? A Bayesian Model Averaging Approach

Existing empirical studies on the sacrifice ratio (measuring the output cost of disinflation) consider a large number of potential explanatory variables including the length of disinflation, various institutional settings, economic conditions, and the political climate. Some results are robust across different studies, while others are not. We address the presence of model uncertainty by using the Bayesian model averaging method to identify the important determinants of the sacrifice ratio, without relying on ad hoc model selection. Our results show that the length of disinflation is the most important variable. This supports the ‘cold turkey’ argument for faster disinflation.     

Investor sentiment and advertising expenditure

A strategic issue facing marketing managers is ‘how much and when’ to spend on advertising. We argue that investor sentiment in the stock market may influence advertising expenditure by affecting firms' ability to raise new funds. We show that during periods of low (high) investor sentiment, firms decrease (increase) their advertising expenditure, even though the effectiveness of advertising is greater (lower) during such periods. We also find that these results are stronger for financially constrained firms that rely more on external financing. Our findings suggest that marketing managers can improve the efficiency of their advertising expenditure by raising (reducing) it during periods of low (high) sentiment.     

Risk Transfer with Interest Rate Swaps

This paper proposes Entity‐Netted Notionals (ENNs) as a metric of interest rate risk transfer in the interest rate swap (IRS) market. Unlike the ubiquitous metric of notional amount, ENNs normalize for risk and account for the netting of longs and shorts within counterparty relationships. Using regulatory data for U.S.‐reporting entities, the size of the market measured by notional amount is $231 trillion, but, measured by ENNs, is only $13.9 trillion 5‐year swap equivalents, which is the same order of magnitude as other large U.S. fixed income markets. This paper also quantifies the size and direction of IRS positions across and within various business sectors. Among the empirical findings are that 92% of entities using IRS are exclusively long or exclusively short. Hence, the vast majority of market participants are prototypical end users, and the extensive amount of netting in the market is attributable to the activity of relatively few, larger entities. Finally, some sector‐specific empirical findings are inconsistent with widespread, prior beliefs. For example, pension funds and insurance companies are typically thought to be long IRS to hedge their long‐term liabilities, and these sectors are indeed net long, but approximately 50% of individual entities in these sectors are actually net short.     

Higher Moments and Exchange Rate Behavior

This paper uses 15‐minute exchange rate returns data for the six most liquid currencies (i.e., the Australian dollar, British pound, Canadian dollar, Euro, Japanese yen, and Swiss franc) vis‐à‐vis the United States dollar to examine whether a GARCH model augmented with higher moments (HM‐GARCH) performs better than a traditional GARCH (TG) model. Two findings are unraveled. First, the inclusion of odd/even moments in modeling the return/variance improves the statistical performance of the HM‐GARCH model. Second, trading strategies that extract buy and sell trading signals based on exchange rate forecasts from HM‐GARCH models are more profitable than those that depend on TG models.     

Heterogeneity of imported intermediate inputs and labour: evidence from India’s input tariff liberalization

This article explores whether the nature of imports matters when examining the effects of trade on plant-level labour outcomes. Previous literature that examines this question mainly considers imported intermediate inputs as a homogenous group and is unable to reach a consensus on the effects of input tariff liberalization on employment and wages of skilled and unskilled workers. Exploiting detailed product-level information available on intermediate inputs from plant-level data for the Indian manufacturing sector, I distinguish between plants that import mainly for quality considerations as opposed to plants that seek imports as cheaper alternatives to domestic inputs. I find that strong complementarities exist between skilled workers and imported inputs for plants importing high-quality inputs. For plants importing intermediate inputs mainly as a cost-cutting strategy, input tariff liberalization leads to an increase in employment of both skilled and unskilled workers, but a decline in skill composition. This can best be explained as a strategy that achieves economies of scale. On average, as input tariffs liberalize, importing plants employ more workers and pay higher wages than non-importing plants.     

A comparative cultural study of mathematics education at Northern Cyprus and Turkmenistan secondary schools

This study was aimed at investigating the opinions of secondary school supervisors about mathematics education as a cross cultural study at the secondary schools of Northern Cyprus and Turkmenistan. A semi-structured interview was used to elicit responses from three supervisors from inside of the Northern Cyprus and eight educational supervisors from province of Turkmenistan (totalling eleven participants from two countries) about mathematics education in both countries to make a cross cultural comparison. Findings of the study indicated major challenges such as short duration of the control period, ignorance about the facilities and conditions, coincidental selection of the topics and classes, teacher’s unawareness of the evaluation criteria, and incompetence of supervisors in the field of mathematical inspection. It was further found that the difference between both the countries on the matter of control of the mathematics education is not very big. The study has positive significance for Ministry and Department of Education, Education Supervisors, administrators, researchers and teachers on effectively implementing mathematics education.     

Is an Optimum Currency Area Feasible in East and South East Asia?

Abstract

In the backdrop of the recent economic crisis in the European Union, this study attempts to assess the degree of regional integration and the suitability of a monetary union in the East and South-East Asian (ESEA) region. For this purpose, we analyse the issue in a variety of ways. First, a long-run linkage of real output of the countries is tested using the cointegration analysis. Results suggest that real output of most of the countries in the region is cointegrated and move together in the long-run. To analyse the issue in detail, we focus on the impact of three different shocks, namely global, regional and country-specific, on real output of the countries. Results of impulse response and variance decomposition analysis reveal that regional shocks do not dominate in the sample countries, which is an indication of unfavourable condition to form an optimal currency area (OCA) in the region. These results are further confirmed by the outcome of computation of the modified Bayoumi and Eichengreen's Indices. Finally, we employ the concept of Generalized Purchasing Power Parity (G-PPP), which however reveals that the bilateral real exchange rate of ESEA countries move together in the long-run and share a common stochastic trend, which in turn provides some empirical support for an OCA in the region.     

An analysis of commodity markets: What gain for investors?

In this paper we study whether the commodity futures market predicts the commodity spot market. Using historical daily data on four commodities—oil, gold, platinum, and silver—we find that they do. We then show how investors can use this information on the futures market to devise trading strategies and make profits. In particular, dynamic trading strategies based on a mean–variance investor framework produce somewhat different results compared with those based on technical trading rules. Dynamic trading strategies suggest that all commodities are profitable and profits are dependent on structural breaks. The most recent global financial crisis marked a period in which commodity profits were the weakest.     

Management of Perceived Risk in the Context of Destination Choice

ABSTRACT

The primary objective of this study was to examine how perceived risk could be managed in the destination choice context. Relationships among risk perceptions, uncertainty (information quality), and price premium were explored by using ordinal logistic regression. Eight types of perceived risk were investigated: health/life risk, financial risk, personal satisfaction risk, social risk, time risk, technical risk, political risk, and terrorism risk. Findings showed that perceived risks were decreased by information quality but various patterns were identified for different types of perceived risk. Results additionally suggested that travelers were willing to pay extra for products and services if more safety and security are provided. Managerial implications for how the findings can be incorporated into risk management strategies are also presented in this paper.