In September 2008, a six-year-old article about the 2002 bankruptcy of United Airlines' parent company resurfaced on the Internet and was mistakenly believed to be reporting a new bankruptcy filing by the company. This episode caused the company's stock price to drop by as much as 76% in just a few minutes, before NASDAQ halted trading. After the “news” had been identified as false, the stock price rebounded, but still ended the day 11.2% below the previous close. We explore this natural experiment by using a simple asset-pricing model to study the aftermath of this false news shock. We find that, after three trading sessions, the company's stock was still trading below the two-standard-deviation band implied by the model and that it returned to within one standard deviation only during the sixth trading session. On the seventh day after the episode, the stock was trading at the level predicted by the asset-pricing model. We investigate several potential explanations for this finding, but fail to find empirical evidence supporting any of them. We also document that the false news shock had a persistent negative effect on the stock prices of other major airline companies. This is consistent with the view that contagion effects would have dominated competitive effects had the bankruptcy actually taken place.

In this paper we propose a smooth transition tree model for both the conditional mean and variance of the short-term interest rate process. The estimation of such models is addressed and the asymptotic properties of the quasi-maximum likelihood estimator are derived. Model specification is also discussed. When the model is applied to the US short-term interest rate we find: (1) leading indicators for inflation and real activity are the most relevant predictors in characterizing the multiple regimes' structure; (2) the optimal model has three limiting regimes. Moreover, we provide empirical evidence of the power of the model in forecasting the first two conditional moments when it is used in connection with bootstrap aggregation (bagging). Copyright © 2010 John Wiley & Sons, Ltd.

Nonlinear regressionmodels have been widely used in practice for a variety of time series and cross-section datasets. For purposes of analyzing univariate and multivariate time series data, in particular,smoothtransitionregression (STR) models have been shown to be very useful for representing and capturing asymmetric behavior. Most STR models have been applied to univariate processes, and have made a variety of assumptions, including stationary or cointegrated processes, uncorrelated, homoskedastic or conditionally heteroskedastic errors, and weakly exogenous regressors. Under the assumption of exogeneity, the standard method of estimation is nonlinear least squares. The primary purpose of this paper is to relax the assumption of weakly exogenous regressors and to discussmoment-based methods for estimating STR models. The paper analyzes the properties of the STR modelwith endogenousvariables by providing a diagnostic test of linearity of the underlying process under endogeneity, developing an estimation procedure and a misspecification test for the STR model, presenting the results of Monte Carlo simulations to show the usefulness of the model and estimation method, and providing an empirical application for inflation rate targeting in Brazil. We show that STR models withendogenousvariables can be specified and estimated by a straightforward application of existing results in the literature.

This article is on the activities of British money doctors in South America between the 1890s and the 1930s, hitherto overlooked in the literature. It focuses on Sir Otto Niemeyer’s missions to Brazil and Argentina in the early 1930s compared to his earlier report on New Zealand and Professor Edwin Kemmerer’s report on Chile in the mid-1920s. The impact of their visits on the market evaluation of risk related to bonds floated by the largest South American economies is quantitatively analyzed. Difficulties involved in generalizations about links between policy proposals and market evaluation enhance the interest of studying specific experiences.

Niemeyer’s general proposals to the Brazilian government in mid-1931 advising on a possible return to the gold standard are evaluated. His specific proposals on central banking in New Zealand, Argentina and Brazil are discussed in contrast with Kemmerer’s proposals in Chile. The focus is on the autonomy of central banks, representation of sectoral interests, the role of gold in total foreign exchange reserves, and the exertion of foreign influence though directors, shareholders and permanent experts. Finally, the realism of proposals is evaluated in the context of contemporary economic conditions compared with advice provided by other experts on related issues

We show that political institutions affect corruption levels. We use audit reports in Brazil to construct new measures of political corruption in local governments and test whether electoral accountability affects the corruption practices of incumbent politicians. We find significantly less corruption in municipalities where mayors can get reelected. Mayors with reelection incentives misappropriate 27 percent fewer resources than mayors without reelection incentives. These effects are more pronounced among municipalities with less access to information and where the likelihood of judicial punishment is lower. Overall our findings suggest that electoral rules that enhance political accountability play a crucial role in constraining politician's corrupt behavior

In this paper, we consider a nonlinear model based on neural networks as well as linear models to forecast the daily volatility of the S&P 500 and FTSE 100 futures. As a proxy for daily volatility, we consider a consistent and unbiased estimator of the integrated volatility that is computed from high-frequency intraday returns. We also consider a simple algorithm based on bagging (bootstrap aggregation) in order to specify the models analysed in this paper.

This paper uses an unusual pay reform to test the responsiveness of investment in schooling to changes in  redistribution schemes that increase the rate of return to education. We exploit an episode where different Israeli kibbutzim shifted from equal sharing to productivity-based wages in different years and find that students in kibbutzim that reformed earlier invested more in education. This effect is stronger for males and is mainly driven by students whose parents have lower levels of education. Our findings support the prediction that education is highly responsive to changes in the redistribution policy, especially for students from weaker backgrounds.