How does service drive the service company?

"How Does Service Drive the Service Company?" presents commentators on Leonard A. Schlesinger and James L. Heskett's September-October article. Commentators include Michael R. Quinlan, Ron Zemke, Jim Snider, Dinah Nemeroff, Steven S. Reinemund, Robert Ayling, Karmjit Singh, James A. Perkins, Joseph E. Antonini, and Walter F. Loeb.     

Do U.S. macroeconomic surprises influence equity returns? An exploratory analysis of developed economies

Given the dominant role the U.S. economy plays in global trade, we explore how U.S. macroeconomic surprises affect stock markets in ten major developed economies as well as in China and India. We do not find strong enough evidence to conclude that U.S. macro shocks materially and consistently influence equity returns and volatilities in the economies studied. Consistent with previous research, it appears that only in few markets are return levels materially influenced by macro surprises generated in the U.S. Also, only a small number of macro shocks seem to be of any consistent significance. For returns levels, inflation, productivity, consumer confidence, and retail sales seem to matter. At the same time, conditional volatilities appear to be influenced by inflation, retail sales, durable goods, industrial production, consumer confidence, gross domestic product, and trade balance surprises. Finally, our exploratory analysis indicates that the degree of bilateral trade connectedness may partially explain the extent to which macroeconomic surprises are transmitted across countries.     

Financing the lodging industry in the next millennium

Lending to the industry has seemed to occur in 5-year cycles where lenders alternate between a period of marked flexibility with generous lending terms and then followed by a period of austere lending terms. During the last decade of the 20th century indications are that there is prudence both in the demand and supply markets and some expect that this environment will persist long enough into the new millennium to prevent the recurrence of the boom and bust cycle of hotel financing. With many new financial instruments and new sources of financing introduced in the last decade of the century this paper presents the results of a Delphi study about lodging financing in the next millennium. It highlights the predictions of selected experts from the lodging and financial services industries.     

Capital market impact of product marketing strategy: Evidence from the relationship between advertising expenses and cost of capital

To analyze the prospect of a firm’s advertising decision affecting shareholder wealth, this article investigates the relationship between a firm’s advertising expenditure and the market-imposed weighted average cost of capital. For a sample of U.S. firms, the results show that advertising expenditure is negatively related to the cost of equity and positively related to debt utilization, resulting in a lower weighted average cost of capital. A higher debt level, however, associates with a lower level of financial strength. In addition, and plausibly by lowering the cost of capital through product market advertising, firms with higher advertising expenditure experience higher performance in terms of market value added. Manohar Singh (msingh@willamette.edu) is an associate professor of finance at Willamette University in Salem, Oregon. He holds a Ph.D. in finance from Southern Illinois University at Carbondale. His published research includes publications in theJournal of Banking and Finance, Financial Review, theJournal of Multinational Financial Management, and thePacific Basin Finance Journal, among others. His research interests include corporate governance and corporate finance and strategy. Sheri Faircloth (fairclos@unr.nevada.edu) is an associate professor of finance at the University of Nevada at Reno. She holds a Ph.D. in finance from the University of Texas at Arlington. Her research interests include corporate finance, investments, and real estate finance. She has published in finance journals such as theJournal of Real Estate Finance and Economics, theJournal of Real Estate Literature, Review of the Academy of Finance, theJournal of the Academy of Finance, andApplied Economics. Ali Nejadmalayeri (aliala@unr.edu) is an assistant professor of finance at the University of Nevada at Reno. He holds an M.B.A. from Texas A&M University and a Ph.D. in finance from the University of Arizona. He has published in finance journals such as theJournal of Business, theJournal of Real Estate Finance and Economics, and theJournal of Multinational Financial Management. He was awarded the College of Business Researcher of the Year Award for 2004.     

Tail dependence analysis of stock markets using extreme value theory

Financial risk modelling frequently uses the assumption of a normal distribution when considering the return series which is inefficient if the data is not normally distributed or if it exhibits extreme tails. Estimation of tail dependence between financial assets plays a vital role in various aspects of financial risk modelling including portfolio theory and hedging amongst applications. Extreme Value Theory (EVT) provides well established methods for considering univariate and multivariate tail distributions which are useful for forecasting financial risk or modelling the tail dependence of risky assets. The empirical analysis in this article uses nonparametric measures based on bivariate EVT to investigate asymptotic dependence and estimate the degree of tail dependence of the ASX-All Ordinaries daily returns with four other international markets, viz., the S&P-500, Nikkei-225, DAX-30 and Heng-Seng for both extreme right and left tails of the return distribution. It is investigated whether the asymptotic dependence between these markets is related to the heteroscedasticity present in the logarithmic return series using GARCH filters. The empirical evidence shows that the asymptotic extreme tail dependence between stock markets does not necessarily exist and rather can be associated with the heteroscedasticity present in the financial time series of the various stock markets.     

How market orientation and outsourcing create capability and impact business performance

For most firms, developing the capability to compete and perform is crucial. The literature suggests that market orientation and outsourcing are two such sources for building capabilities in the marketplace. However, the relative contribution of market orientation and outsourcing to capability and superior business performance is unclear. To bring clarity, two pathways through which market orientation and outsourcing build capability and enhance business performance are proposed. Using data from foreign and Indian firms, the results indicate that both market orientation and outsourcing contribute to building capability, and that outsourcing further contributes to business performance. Also, it was discovered that low‐risk market‐oriented and high‐risk outsourcing firms experienced a positive impact on business performance. The implication of these results for managers is that market orientation and outsourcing can be complementary tools in their efforts to build capability, enhance business performance, and manage risky environmental conditions. © 2009 Wiley Periodicals, Inc.     

Spatial competition with endogenous location choices: An application to discount retailing

This paper examines the importance of geographical differentiation in store location decisions of firms in the retail discount industry. Using a novel data set that includes the store locations and accompanying market conditions for all stores belonging to the Wal-Mart, Kmart, and Target chains, we study the factors that influence the entry and location decisions of these firms. The model involves an incomplete information game between the three players where each firm has private information about its own profitability. A key feature of our modeling approach is that it permits asymmetries across firms in the impact of exogenous market characteristics and competitive interaction effects. Variations in the exogenous firm specific characteristics, such as the distances from the market to firms’ headquarters and the nearest distribution centers, serve as exclusion restrictions and provide the source for model identification. Parameter estimates of the payoff functions are used to predict the equilibrium market structure under a variety of market conditions that provide insights into the competitive landscape of the industry. Results show that all firms exert a strong negative impact on competitors when they are in close proximity, but the effect decreases with distance to rivals suggesting strong returns to spatial differentiation in this industry. Target stores fare well under competition except when these competitors are in close proximity. Wal-Mart’s supercenter format is found to be the most formidable player as it substantially impacts competitors even at a large distance. We also find significant asymmetries across players in their response to market conditions and competition interactions.