The value of celebrity endorsements: A stock market perspective

Are celebrity endorsements worthwhile investments in advertising? To answer this question, we analyze a unique sample of 101 announcements made between 1996 and 2008 by firms listed in the USA. Internet is the main medium of communication for these announcements. We employ event study methodology and document statistically insignificant abnormal returns around the announcement dates. This finding is consistent with the notion that the incremental benefits from celebrity endorsements closely match the incremental costs due to such contracts. Further, we investigate if the announcement date return depends on a number of characteristics that are often used in the endorsement literature. As a result, we find that endorsements of technology industry products coincide with significant positive abnormal returns around the announcement dates. Finally, we find weak support for the match-up hypothesis between celebrities and endorsed products.     

Soviet society: Current trends and forecast scenarios

As perestroika drives the USSR towards free market socialism, the country's socioeconomic development depends on a number of factors that are only now taking shape. The transition is inconsistent and painful because there is no clear concept of the overall process. In order to overcome current difficulties the Soviet leadership must adopt a coherent transitional model. This article looks at the underlying trends of the current situation in the USSR and presents three scenarios for the development of Soviet society. Focusing on the dynamics of internal factors, the scenarios differ in terms of social orientation, degree of radicalism, approach to problems and proposed relationship between central power and the republics and regions. The extent of political support for each scenario is examined, and their potential for realization is assessed.     

Link-save trading

Transaction costs involved while trading several assets may be described using bid-ask spread of the asset prices. We assume that the prices of several assets may be linked, so that transactions involving several assets have prices that are not necessarily equal to the sums of (bid or ask) prices of the individual assets. The family of possible price combinations forms a convex (random) set which changes in time and is called the set-valued price process. It is shown that the necessary and sufficient condition for no-arbitrage is the existence of a martingale selection, i.e. a martingale that takes values in the set-valued price process. Examples and applications to option pricing are discussed.     

Research on the Credit Cycle and Business Cycle with a Focus on Ten States from Central,Eastern, and Southeastern Europe

By performing an econometric analysis of the credit cycle and business cycle from an individual as well as a comparative perspective, with a focus on ten relevant economies from the areas of Central, Eastern, and Southeastern Europe, this research offers a fresh view regarding the importance of banks in promoting long-term economic growth through their lending capacity. The purpose is to better understand the behavior (the short- and medium-term dynamics) of the credit cycle and business cycle and the effects of the interactions between them. The results of this study offer valuable insights for both academics and policymakers and provide a warning to regulators not to overregulate or put too much pressure on banking activity.     

SOCIOECONOMIC STATUS MEASUREMENT WITH DISCRETE PROXY VARIABLES: IS PRINCIPAL COMPONENT ANALYSIS A RELIABLE ANSWER?

The last several years have seen a growth in the number of publications in economics that use principal component analysis (PCA) in the area of welfare studies. This paper explores the ways discrete data can be incorporated into PCA. The effects of discreteness of the observed variables on the PCA are reviewed. The statistical properties of the popular Filmer and Pritchett (2001 ) procedure are analyzed. The concepts of polychoric and polyserial correlations are introduced with appropriate references to the existing literature demonstrating their statistical properties. A large simulation study is carried out to compare various implementations of discrete data PCA. The simulation results show that the currently used method of running PCA on a set of dummy variables as proposed by Filmer and Pritchett (2001 ) can be improved upon by using procedures appropriate for discrete data, such as retaining the ordinal variables without breaking them into a set of dummy variables or using polychoric correlations. An empirical example using Bangladesh 2000 Demographic and Health Survey data helps in explaining the differences between procedures.     

Politics, stock markets, and model uncertainty

The available evidence on the effects of political variables on both returns and volatility of aggregate stock indices is scant and mixed. Applying Bayesian Model Averaging to a panel dataset of 17 parliamentary democracies spanning the post-war period until 1995, we test the robustness of political variables in explaining stock returns and stock return volatility. While we find that the influence of political variables on excess returns is weak, there is evidence of some political variables explaining return volatility.     

Size (and competition) among organizations: modeling scale‐based selection among automobile producers in four major countries, 1885–1981

Based on previous empirical research, size is perhaps the most powerful explanatory organizational covariate in strategic analysis. We suggest that theoretical arguments about size be examined carefully to specify models with explicit comparison sets and with mechanisms linking size and underlying processes to outcomes. We illustrate the approach here by advancing arguments about scale competition within an organizational population. In this effort, we feature a theoretical model of scale‐based selection, which posits that a firm's chances of survival decrease with its aggregate distance from larger competitors on a transformed size gradient. The model assumes that the appropriate comparison set consists of all contemporaneous similar organizations competing on the basis of scale and operating in a localized geographic setting. We argue that aggregate distance of a focal firm from larger other firms (a specific form of relative position in the size distribution) reflects the extent to which it can capitalize on potential competitive advantages of scale emanating from economic, political, and social processes. Analyzing the mortality rates of large organizations across the entire histories of automobile industries in four major countries provides support for the theory. We discuss the general implications of our findings for strategic and organizational analysis. Copyright © 2003 John Wiley & Sons, Ltd.