The purpose of this paper is to explain why some markets for financial products take off while others vanish as soon as they have emerged. To this end, we model an infinite sequence of CAPM-economies in which financial products can be used for insurance purposes. Agents' participation in these financial products, however, is restricted. Consecutive stage economies are linked by a mapping (“transition function”) which determines the next period's participation structure from the preceding period's participation. The transition function generates a dynamic process of market participation which is driven by the percentage of informed traders and the rate at which a new asset is adopted. We then analyse the evolutionary stability of stationary equilibria. In accordance with the empirical literature on financial innovation, it is obtained that the success of a financial innovation, a mutation, depends on a sufficiently high trading volume, marketing, and new and differentiated hedging opportunities. In particular, a set of complete markets forming a stationary equilibrium is robust with respect to any further financial innovation while this is not necessarily true for a set of incomplete markets

Used properly, the term 'new e-conomy' is warranted. Since 1995, there has been a wave of innovation associated with both the production and use of information technology that has been translated into improved US economic performance. In particular, there has been a substantial acceleration in trend total factor productivity growth. Most of this acceleration actually took place outside of the computer sector. Almost none of the acceleration was cyclical. There is now clear supportive evidence of an acceleration of productivity in service industries that are major purchasers of information technology such as finance and wholesale and retail trade. These gains reflect not only increased investment in information technology but also complementary innovations in business organization and policy. To be sure, as evidenced by recent financial market volatility, there have been speculative excesses, but these should not obscure the fundamental gains that have been made

According to the permanent income hypothesis with quadratic preferences, households save for a rainy day the transitory component of income innovations and consume entirely the permanent one. The model also rules out precautionary saving. Typically, income shock components are not separately observable, and information on the conditional variance of income is hard to come by. We show how to combine income realizations with subjective expectations to identify separately the transitory and the permanent shock to income and to obtain a measure of idiosyncratic uncertainty, thus providing a powerful test of the theory in short panels. The empirical analysis is performed on a sample of Italian households drawn from the 1989–1991 Survey of Household Income and Wealth

A new method is proposed for constructing confidence intervals in autoregressive models with linear time trend. Interest focuses on the sum of the autoregressive coefficients because this parameter provides a useful scalar measure of the long-run persistence properties of an economic time series. Since the type of the limiting distribution of the corresponding OLS estimator, as well as the rate of its convergence, depend in a discontinuous fashion upon whether the true parameter is less than one or equal to one (that is, trend-stationary case or unit root case), the construction of confidence intervals is notoriously difficult. The crux of our method is to recompute the OLS estimator on smaller blocks of the observed data, according to the general subsampling idea of Politis and Romano (1994a), although some extensions of the standard theory are needed. The method is more general than previous approaches in that it works for arbitrary parameter values, but also because it allows the innovations to be'-a martingale difference sequence rather than i.i.d .. Some simulation studies examine the finite sample performance