Forecasting accuracy and estimation uncertainty using VAR models with short- and long-term economic restrictions: a Monte-Carlo study

Using vector autoregressive (VAR) models and Monte-Carlo simulation methods we investigate the potential gains for forecasting accuracy and estimation uncertainty of two commonly used restrictions arising from economic relationships. The Örst reduces parameter space by imposing long-term restrictions on the behavior of economic variables as discussed by the literature on cointegration, and the second reduces parameter space by imposing short-term restrictions as discussed by the literature on serial-correlation common features (SCCF). Our simulations cover three important issues on model building, estimation, and forecasting. First, we examine the performance of standard and modiÖed information criteria in choosing lag length for cointegrated VARs with SCCF restrictions. Second, we provide a comparison of forecasting accuracy of Ötted VARs when only cointegration restrictions are imposed and when cointegration and SCCF restrictions are jointly imposed. Third, we propose a new estimation algorithm where short- and long-term restrictions interact to estimate the cointegrating and the cofeature spaces respectively. We have three basic results. First, ignoring SCCF restrictions has a high cost in terms of model selection, because standard information criteria chooses too frequently inconsistent models, with too small a lag length. Criteria selecting lag and rank simultaneously have a superior performance in this case. Second, this translates into a superior forecasting performance of the restricted VECM over the VECM, with important improvements in forecasting accuracy ñreaching more than 100% in extreme cases. Third, the new algorithm proposed here fares very well in terms of parameter estimation, even when we consider the estimation of long-term parameters, opening up the discussion of joint estimation of short- and long-term parameters in VAR models.

Optimal auctions in a general model of identical goods

In this paper I study optimal auctions of identical goods. There is synergy in the number of goods and independent bidder’s signals.

Credit shocks and monetary policy in Brazil: a structural FAVAR approach

This paper investigates the implications of the credit channel of the monetary policy transmission mechanism in the case of Brazil, using a structural FAVAR (SFAVAR) approach. The term structural comes from the estimation strategy, which generates factors that have a clear economic interpretation. The results show that unexpected shocks in the proxies for the external nance premium and the bank balance sheet channel produce large and persistent uctuations in in ation and economic activity accounting for more than 30% of the error forecast variance of the latter in a three-year horizon. The central bank seems to incorporate developments in credit markets especially variations in credit spreads into its reaction function, as impulse-response exercises show the Selic rate is declining in response to wider credit spreads and a contraction in the volume of new loans. Counterfactual simulations also demonstrate that the credit channel ampli ed the economic contraction in Brazil during the acute phase of the global nancial crisis in the last quarter of 2008, thus gave an important impulse to the recovery period that followed.

Insider trading e governança corporativa : o perfil e prática dos insiders

O assunto insider trading é bastante polêmico há muito tempo, como, exemplo disto se tem o Securities Exchange Act of 1934 sobre Insider Trading nos Estados Unidos, e a discussão continua nos dias de hoje com casos como da Ambev e da Martha Stewart em 2004. Este trabalho apresenta o levantamento de dados, e inferências sobre as operações realizadas pelos insiders das empresas com ações negociadas na Bovespa, que são classificadas como de governança corporativa diferenciada. Os dados aqui apresentados mostram que os insiders, como definidos pela instrução CVM 358 de 2002, são agentes bastante ativos no mercado de capitais brasileiro. O perfil das operações com títulos transacionados pelos insiders infere que a diretoria vende mais títulos do que compra, ao contrário dos controladores e conselheiros; que os insiders das empresas do nível 1, de menores exigências e restrições de governança, são mais ativos em operações no mercado do que seus pares nas empresas de nível de governança maior. Também foram constatados indícios de operações realizadas pelos insiders que resultaram em retornos excedentes aos esperados estatisticamente significativos.