Firm-Level Evidence on International Stock Market Comovement *

We explore the link between international stock market comovement and the extent to which firms operate globally. Using stock returns and balance sheet data for companies in 20 countries, we estimate a factor model that decomposes stock returns into global, country-and industry-specific shocks. We find a large and statistically significant link for global shocks. A firm raising its international sales by 10 percent raises the exposure of its stock return to global shocks by two percent. This link has grown stronger over time since the mid-1980s. We find no similarly robust link between international sales and exposure to country-specific shocks. * We are grateful to Marcelle Chauvet, Kathryn Dominguez, Kristin Forbes, Geert Rouwenhorst, Dan Waggoner, participants in the Atlanta Fed Finance Brown Bag, the IMF conference on “Global Linkages”, and the Kiel Institute for World Economics workshop on multinationals for their suggestions. We are especially grateful to Franklin Allen, Marco Pagano, and two anonymous referees for extensive comments on earlier drafts of this paper. Finally, we wish to thank Menzie Chinn for sharing his capital account liberalization measure, Iskander Karibzhanov for translating some of our code into C and Young Kim for excellent research assistance.     

Countercyclical contingent capital

We analyze the optimal capital structure of a bank issuing countercyclical contingent capital, i.e., notes to be converted into common shares in poor macroeconomic conditions. A comparison of the main effects produced by the countercyclical asset with the simple equity-debt capital structure, the non-countercyclical contingent capital and the countercyclical callable bond is conducted. We demonstrate that this type of asset reduces the spread of straight debt and is effective in reducing the asset substitution incentive. The reduction of bankruptcy costs is strong only when the countercyclicality feature is removed. Contingent capital is useful for macroprudential regulation and we show that the countercyclical feature is important depending on priorities (moderate the asset substitution incentive or reduce bankruptcy costs).     

Run length distributions and economic design of [`(X)]\bar X charts with unknown process variance

The run length distribution of charts with unknown process variance is analized using numerical integration. Both traditional chart limits and a method due to Hillier are considered. It is shown that setting control limits based on the pooled standard deviation, as opposed to the average sample standard deviation, provides better run length performance due to its smaller mean square error. The effect of an unknown process variance is shown to increase the area under both tails of the run length distribution. If Hillier’s method is used instead, only the right tail of the run length distribution is increased. Collani’s model for the economic design of charts is extended to the case of unknown process variance by writing his standardized objective function in terms of average run lengths.     

Relationships among functional units and new product performance: The moderating effect of technological turbulence

Though there has been plenty of research into new product success factors, only a few studies have tried to analyse whether these factors are important in different settings. In this study, we propose and test a model that links physical proximity among functional units, presence of product champions, cross-functional harmony, and new product program performance. The moderating effects of perceived technological turbulence on relationships between new product performance and its antecedents are also tested. Our results, obtained from 151 managers working for Spanish firms with a R&D department, confirm the different impact of these factors on the three measures of performance considered and also on two groups of organizations, the ones that perceive high technological turbulence and the ones that perceive low technological turbulence.     

Run length analysis of Shewhart charts applied to drifting processes under an integrative SPC/EPC model

Engineering Process Controllers (EPC) are frequently based on parametrized models. If process conditions change, the parameter estimates used by the controllers may become biased, and the quality characteristics will be affected. To detect such changes it is adequate to use Statistical Process Control (SPC) methods. The run length statistic is commonly used to describe the performance of an SPC chart. This paper develops approximations for the first two moments of the run length distribution of a one-sided Shewhart chart used to detect two types of process changes in a system that is regulated by a given EPC scheme: i) changes in the level parameter; ii) changes in the drift parameter. If the drift parameter shifts, it is further assumed that the form of the drift process changes from a linear trend under white noise (the in-control drift model) into a random walk with drift model. Two different approximations for the run length moments are presented and their accuracy is numerically analyzed. Received: August 1998     

The Impact of American Politics on Perceptions of Women's Golfing Abilities

We examine the relationship between political environments and perceptions of women's physical abilities. Using a sample of 496 golf courses located in the United States, we find a significant relationship between state political affiliations, ratings of senators and congressional representatives on a liberal to conservative continuum, and perceptions of gendered physical abilities. Institutional theory is presented as an explanation for the regional variation in perceptions of women's golfing abilities. Implications and results are discussed. Suggestions for further research are presented.