Country Size and Economic Fluctuations

This paper investigates the character of business cycles across large and small economies. Empirically, G-7 countries have less volatile investment, consumption, and trade balance ratios, higher correlations between domestic sacing and investment rates, and about the same correlation of the trade-balance ratio and investment ratio as 68 smaller countries. These observations are consistent with a standard one-sector two-country general equilibrium model in which the only source of heterogeneity is country size. Since many developing countries are small, these findings suggest that even absent differences in markets and instutitions, economic fluctuations would be more severe in developing countries.     

Dynamic common factors in large cross-sections

This paper develops a method to analyze large cross-sections with non-trivial time dimension. The method (i) identifies the number of common shocks in a factor analytic model; (ii) estimates the unobserved common dynamic component; (iii) shows how to test for fundamentalness of the common shocks; (iv) quantifies positive and negative comovements at each frequency. We illustrate how the proposed techniques can be used for analyzing features of the business cycle and economic growth.     

Index futures trading and stock price volatility: Evidence from Denmark and France

This study uses an EGARCH methodology to investigate the impact of index futures trading on the price volatility of two European stock markets. The results show that index futures trading has changed the distribution of stock returns in Denmark and France, however, it has not increased stock price volatility. There is evidence that futures trading has dampened stock price fluctuations in France. The results further show that stocks in Denmark and France exhibit strong volatility persistence and asymmetry, especially during the post-futures period.     

Foreign exchange market regularities in a developing economy

The purpose of this paper is to demonstrate that the ‘empirical regularities’ observed for exchange rates in the major foreign exchange markets apply equally to the case of a developing economy such as Singapore.     

Quantifying knowledge exchange in R&D networks: a data-driven model

We propose a model that reflects two important processes in R&D activities of firms, the formation of R&D alliances and the exchange of knowledge as a result of these collaborations. In a data-driven approach, we analyze two large-scale data sets, extracting unique information about 7500 R&D alliances and 5200 patent portfolios of firms. These data are used to calibrate the model parameters for network formation and knowledge exchange. We obtain probabilities for incumbent and newcomer firms to link to other incumbents or newcomers able to reproduce the topology of the empirical R&D network. The position of firms in a knowledge space is obtained from their patents using two different classification schemes, IPC in eight dimensions and ISI-OST-INPI in 35 dimensions. Our dynamics of knowledge exchange assumes that collaborating firms approach each other in knowledge space at a rate μ for an alliance duration τ. Both parameters are obtained in two different ways, by comparing knowledge distances from simulations and empirics and by analyzing the collaboration efficiency \(\mathcal {\hat {C}}_{n}\). This is a new measure that takes in account the effort of firms to maintain concurrent alliances, and is evaluated via extensive computer simulations. We find that R&D alliances have a duration of around two years and that the subsequent knowledge exchange occurs at a very low rate. Hence, a firm’s position in the knowledge space is rather a determinant than a consequence of its R&D alliances. From our data-driven approach we also find model configurations that can be both realistic and optimized with respect to the collaboration efficiency \(\mathcal {\hat {C}}_{n}\). Effective policies, as suggested by our model, would incentivize shorter R&D alliances and higher knowledge exchange rates.     

Exports,investment and production growth: A dynamic heterogeneous firm model with learning and entry costs

We analyze a firm’s joint decision to export and invest using a model that incorporates the essential features of self-selection and learning-by-exporting theories of firm-level dynamics. We calibrate the model to 2002–2007 Chilean manufacturing plant data and simulate it under different assumptions, finding that neither self-selection nor learning-by-exporting alone can adequately explain the observed cross-sectional relationship between firm level exports and capital, favoring instead a model that allows both mechanisms to work in tandem.     

Some quasi-globally stable processes of price adjustment

In this paper, the existence of some quasi-globally stable processes of price adjustment in a perfectly competitive market, is proved. These processes are relative to a special class of “excess demand” vector fields satisfying regularity hypotheses and boundary conditions of classical type. Modifications of the above processes which, under different hypotheses, are still quasi-globally stable, are studied.