We investigate the firm characteristics associated with innovation in over 19,000 firms across 47 developing economies. While existing finance literature on innovation is limited to large public firms in developed markets such as the United States, our database includes public and private firms, and small and medium-sized enterprises. We define innovation broadly to include introduction of new products and technologies, knowledge transfers, and new production processes. We find that access to external financing is associated with greater firm innovation. Further, having highly educated managers, ownership by families, individuals, or managers, and exposure to foreign competition is associated with greater firm innovation

We consider a Lucas-type exchange economy with two heterogeneous stocks (trees) and a representative investor with constant relative risk aversion. The dividend process for one stock follows a geometric Brownian motion with constant and known parameters. The expected dividend growth rate for the other tree is stochastic and in general unobservable, although there may be a signal from which the investor can learn about its current value. We find that the equilibrium quantities in our model significantly depend on the information structure and on the level of risk aversion. While an observable stochastic drift mainly makes the economy more risky, a latent expected growth rate process with learning significantly changes the equilibrium price-dividend ratios, price reactions to dividend and drift innovations, expected returns, volatilities, correlations, and differences between the stocks. These effects are the more pronounced the more risk averse the representative investor