Health and development with imperfect capital markets

This paper investigates the interaction between investment in education and in life-expanding investments, in a simple two-period model in which individuaIs are liquidity constrained in the first period. We show that under low leveIs of health and capital, investments in human capital and in health are complement: since the probability of survival is small, there is littIe incentive to invest in human capital; therefore the return on health investment is also low. This reinforcing effect does not hold for higher leveIs of health or capital, and the two investments become substitute. This property has many consequences. First, subsidizing health care may have dramatically different effects on private investment in human capital, depending on the initial leveI of health and capital. Second, the assumption that mortality is endogenous induces an increase in inequality of income: since health investment is a normal good, the return on education is also lower for poor individuaIs. Third,in a non-overlapping generation madel with non-altruistic agents, the hea1th leveI of the population has strong consequences on growth. For a very low leveI of hea1th, mortality is too high for the investment on education to be profitable. For a higher, but still low, levei of hea1th the economy grows on1y if the initial stock of capital is high enough; bad health and low capital create a poverty trapo Fourth, we compare redistributive income policies versus public hea1th measures. Redistributing income reduces both static and dynamic inequality, but slows growth. In contrast, a paternalistic health policy that forces the poor to invest in hea1th reduces dynamic inequality and may foster growth.

Automatic model selection for forecasting brazilian stock returns

This study aims to contribute on the forecasting literature in stock return for emerging markets. We use Autometrics to select relevant predictors among macroeconomic, microeconomic and technical variables. We develop predictive models for the Brazilian market premium, measured as the excess return over Selic interest rate, Itaú SA, Itaú-Unibanco and Bradesco stock returns. We nd that for the market premium, an ADL with error correction is able to outperform the benchmarks in terms of economic performance. For individual stock returns, there is a trade o between statistical properties and out-of-sample performance of the model.

Automatic model selection for forecasting Brazilian stock returns

This study aims to contribute on the forecasting literature in stock return for emerging markets. We use Autometrics to select relevant predictors among macroeconomic, microeconomic and technical variables. We develop predictive models for the Brazilian market premium, measured as the excess return over Selic interest rate, Itaú SA, Itaú-Unibanco and Bradesco stock returns. We find that for the market premium, an ADL with error correction is able to outperform the benchmarks in terms of economic performance. For individual stock returns, there is a trade o between statistical properties and out-of-sample performance of the model.

Bubble detection in Brazil’s stock market: application of the generalized superior augmented Dickey-Fuller test

Considering the importance of the proper detection of bubbles in financial markets for policymakers and market agents, we used two techniques described in Diba and Grossman (1988b) and in Phillips, Shi, and Yu (2015) to detect periods of exuberance in the recent history of the Brazillian stock market. First, a simple cointegration test is applied. Secondly, we conducted several augmented, right-tailed Dickey-Fuller tests on rolling windows of data to determine the point in which there’s a structural break and the series loses its stationarity.