Is there Value-Added Information in Liquidity and Risk Premiums?

Size has become a significant factor in explaining returns. According to the size effect, smaller capitalization stocks on average outperform larger capitalization stocks over long periods of time. This paper first documents the traditional size effect on the French market for the 1986–1998 period. It introduces a new proxy for size, free float, which is argued to be the appropriate measure of size and liquidity for most non‐US markets. Evidence is presented of a negative link between historical returns and free float. The link is significant even outside of the month of January, a notable divergence from results obtained on the NYSE. The rest of the paper is an attempt to take advantage of this 'ex‐post' phenomenon on an 'ex‐ante' basis, with an empirical study of the link between expected return, risk, and liquidity in a sample consisting of the main 150 stocks quoted on the Paris Bourse between January 1986 and January 1998. Liquidity premiums are estimated for portfolios from both a univariate and a multivariate perspective. The paper shows how risk and liquidity premiums can be used separately or in tandem for market timing and asset allocation. In all cases, the use of both premiums together leads to superior performance. Results confirm our measurements of liquidity and liquidity premiums and supply evidence that liquidity premiums together with risk premiums are useful in active asset management.     

DEFAULTABLE OPTIONS IN A MARKOVIAN INTENSITY MODEL OF CREDIT RISK

This paper is a follow‐up to “Valuation and Hedging of Defaultable Game Options in a Hazard Process Model” by the same authors. In the present paper we give user friendly assumptions ensuring that the general conditions in the previous paper are satisfied. We also give a systematic procedure to construct suitable intensity models of credit risk, and, in the Markovian case, we provide a variational inequality approach to the pre‐default pricing problem. We finally illustrate our results on a study of defaultable convertible bonds.     

Trade and the Number of OCAs in the World

This paper employs worldwide data on output and bilateral trade in order to identify optimum currency areas (OCAs) on a global basis. By retaining only two of the many criteria in the literature on OCAs, computer programming could serve to do the identification. The two chosen criteria relate to trade and the symmetry of shocks to output. Based on the first criterion, trade, some large continental OCAs emerge. Adding the second, symmetry, whittles down the size of these OCAs considerably. Nevertheless, some significant examples remain in the Americas, Europe and Asia, of which the European and the Asiatic are the most noteworthy.     

Innovation and productivity in SMEs: empirical evidence for Italy

Innovation in SMEs exhibits some peculiar features that most traditional indicators of innovation activity do not capture. Therefore, in this paper, we develop a structural model of innovation that incorporates information on innovation success from firm surveys along with the usual R&D expenditures and productivity measures. We then apply the model to data on Italian SMEs from the “Survey on Manufacturing Firms” conducted by Mediocredito-Capitalia covering the period 1995–2003. The model is estimated in steps, following the logic of firms’ decisions and outcomes. We find that international competition fosters R&D intensity, especially for high-tech firms. Firm size and R&D intensity, along with investment in equipment, enhances the likelihood of having both process and product innovation. Both these kinds of innovation have a positive impact on firm’s productivity, especially process innovation. Among SMEs, larger and older firms seem to be less productive.

Investment and the rate of profit in a financial context: the French case

The growth regime prevailing in France since the middle of the 1980s allowed for a recovery of profitability, yet without durable resumption of growth or accumulation of fixed capital. The financialization of this growth regime shows on both the asset and liability sides of the balance sheets. Following a post‐Keynesian framework, we analyse and test the main determinants of real investment and financial capital accumulation for non‐financial companies in France, based on data from the flow‐of‐funds accounts. This analysis points to an arbitrage, prevailing between real and financial accumulation, as a key reason explaining the insufficient recovery of investment.     

Foreign Language Learning and Trade

The paper is devoted to an econometric analysis of learning foreign languages in all parts of the world. Our sample covers 193 countries and 13 important languages. Four factors significantly explain learning: world population of speakers of home language, trade with speakers of foreign language, linguistic distance between home and foreign language and literacy. Trade may well deserve more emphasis than the other three factors, not only for its significance, but also because its direction can change faster and by a larger order of magnitude. Controlling for any of the 13 target languages, including English, is of no particular importance.     

Assessing measurement errors in the CDM research–innovation–productivity relationships

ABSTRACT

The Crépon-Duguet-Mairesse 1998 article, known as CDM, initiated a structural econometric framework to analyze the relationships among research, innovation and productivity, which has been estimated most generally on the basis of cross-sectional innovation survey-type data. Some econometric implementations of the CDM approach have suggested that such data give useful but imprecise measures of the innovation output (share of innovative sales), and to a lesser degree of the innovation input (R&D). These ‘measurement errors’ may result in attenuation biases of the estimated R&D and innovation impact elasticities in the two basic CDM ‘roots’ relations of R&D to innovation and innovation to productivity, as well as in the extended production function à la Griliches linking directly R&D to productivity. Using a panel of three waves of the French Community Innovation Survey (CIS), we assess these biases and the magnitude of the underlying measurement errors, assuming mainly that they are ‘white noise’ errors. We do so by comparing two pairs of usual panel estimators (Total and Between) in both the cross-sectional and time dimensions of the data (Levels and Differences). We find large measurement errors on innovation output in the innovation–productivity equation, resulting in large attenuation biases in the related elasticity parameter. We also find smaller but sizeable measurement errors on R&D, with significant attenuation biases in the corresponding elasticity estimates, in the R&D–innovation equation and the extended production function. Simulations suggest that the measurement errors on innovation and R&D are unaffected by similar measurement errors on the capital variable.