A model to estimate the US term structure of interest rates

The US term structure of interest rates plays a central role in fixed-income analysis. For example, estimating accurately the US term structure is a crucial step for those interested in analyzing Brazilian Brady bonds such as IDUs, DCBs, FLIRBs, EIs, etc. In this work we present a statistical model to estimate the US term structure of interest rates. We address in this report all major issues which drove us in the process of implementing the model developed, concentrating on important practical issues such as computational efficiency, robustness of the final implementation, the statistical properties of the final model, etc. Numerical examples are provided in order to illustrate the use of the model on a daily basis.

The Brazilian 1994 stabilization plan: an analytical view

The Real Plan has succeeded in stabilizing the Brazilian inflation. The consumer price inflation has been reduced from 11260 percent per year, in June 1994, to an estimate of 8 percent in 1997. The lower inflation resulted in a remarkable income distribution, and in an increased private consumption. The plan managed to control the inflationary effects of the increased demand with some traditional measures: A more liberalized economy, a moving (and overvalued) exchange rate band, high interest rate differentials, and a tight domestic credit policy. The government has, so far failed to accomplish the fiscal adjustment. The price stabilization has largely depended on the current account deficit. However, macroeconomic indicators do not present reasons for concern about the current account sustainability, in the medium-run. The economy may be trapped in a low-growth vicious cycle, represented by a stop-and-go trend, due to the two-way endogencity between domestic saving and growth. Economic growth depends on policies in increase the public sector saving, to secure the privatization of the State enterprises, and to promote investments. The major problem for the government action is, as always, in the political sphere. Approximately 80 percent of the Central Government net revenue are allocated to the social sectors. Consequently, the fiscal reform will hue to deal with the problem of re-designing the public sector’s intervention in the social area. Most probably, it will be inevitable to cut the social area budget. This is politically unpleasant.

Should voters be afraid of hard budget constraint legislation? fiscal responsibility law in brazilian municipalities

This manuscript demonstrates that voters have nothing to be afraid of when new hard budget constraint legislation is implemented. Our claim is that this kind of legislation reduces the asymmetry of information between voters and incumbents over the budget and, as a consequence, the latter have incentives to increase the supply of public goods. As a nationwide institutional innovation, the Fiscal Responsibility Law (FRL) is exogenous to all municipalities; therefore, there is no self-selection bias in its implementation. We show that public goods expenditure increases after the FRL. Second, this increase occurs in municipalities located in the country’s poorest region. Third, our findings can be extended to the supply of public goods because the higher the expenditure with health and education, the greater the probability of incumbents being re-elected. Finally, there exists a “de facto” higher supply of public goods in education (number of per capita classrooms) after the FRL.

Using irregularly spaced returns to estimate multi-factor models: application to Brazilian equity data

Multi-factor models constitute a useful tool to explain cross-sectional covariance in equities returns. We propose in this paper the use of irregularly spaced returns in the multi-factor model estimation and provide an empirical example with the 389 most liquid equities in the Brazilian Market. The market index shows itself significant to explain equity returns while the US$/Brazilian Real exchange rate and the Brazilian standard interest rate does not. This example shows the usefulness of the estimation method in further using the model to fill in missing values and to provide interval forecasts.

Estimando a taxa de juros real neutra brasileira via modelo DSGE

Este trabalho objetiva estimar uma série trimestral para a taxa de juros real neutra brasileira via modelo de Equilíbrio Geral Dinâmico Estocástico (DSGE), para o período compreendido entre o primeiro trimestre de 2000 e o último de 2011. O modelo representa uma economia fechada, com famílias maximizando utilidade do tipo CRRA, firmas maximizando lucro em um mercado de concorrência imperfeita e um governo com política fiscal de orçamento equilibrado e regra de política monetária à la Taylor, em um contexto de rigidez de preços. Neste arcabouço, a taxa de juros real neutra foi calculada com base nos choques de produtividade e de gastos de governo, que foram considerados os mais relevantes para a economia brasileira. Adicionalmente, analisou-se o impacto dos choques de produtividade e gastos do governo sobre a taxa neutra, assim como seu comportamento ao longo do período estimado e sua sensibilidade a calibragens alternativas. Por fim, ao comparar o comportamento do hiato de taxa de juros vis-à-vis à inflação, encontramos correlações negativas de 56% e 83% para todo o período estimado e para uma amostra mais recente (do primeiro trimestre de 2006 até o último de 2011), respectivamente, indicando certa consistência na série obtida.

Political budget cycles in a fiscal federation : the effect of partisan voluntary transfers

This article first presents an econometric study suggesting that intergovernmental transfers to Brazilian municipalities are strongly partisan motivated. In light of that stylized fact, it develops an extension to Rogoff (1990)’s model to analyze the effect of partisan motivated transfers into sub-national electoral and fiscal equilibria. The main finding is that important partisan transfers may undo the positive selection aspect of political budget cycles. Indeed, partisan transfers may, on one hand, eliminate the political budget cycle, solving a moral hazard problem, but, on the other hand, they may retain an incompetent incumbent in office, bringing about an adverse selection problem.

Signaling in political budget cycles: How far are you willing to go?

This paper analyzes how heterogeneity in two dimensions, competency and character, a¤ects political budget cycles. Competency is the e¢ciency in running the government. Character is the degree of opportunism. In this expanded space, previous results in the literature on the separating nature of the signaling equilibrium hold if heterogeneity in opportunism is low. With high heterogeneity in opportunism, no separating equilibrium exists. Rather, the equilibrium is partially pooling: only extreme types can be distinguished.

The power of the purse : what do the data say on US federal budget allocation to the states?

This paper provides new evidence on the determinants of the allocation of the US federal budget to the states and tests the capability of congressional, electoral and partisan theories to explain such allocation. We find that socio-economic characteristics are important explanatory variables but are not sufficient to explain the disparities in the distribution of federal monies. First, prestige committee membership is not conducive to pork-barrelling. We do not find any evidence that marginal states receive more funding; on the opposite, safe states tend to be rewarded. Also, states that are historically "swing" in presidential elections tend to receive more funds. Finally, we find strong evidence supporting partisan theories of budget allocation. States whose governor has the same political affiliation of the President receive more federal funds; while states whose representatives belong to a majority opposing the president party receive less funds.

Using irregularly spaced returns to estimate multi-factor models : application to Brazilian equity data

Multi-factor models constitute a use fui tool to explain cross-sectional covariance in equities retums. We propose in this paper the use of irregularly spaced returns in the multi-factor model estimation and provide an empirical example with the 389 most liquid equities in the Brazilian Market. The market index shows itself significant to explain equity returns while the US$/Brazilian Real exchange rate and the Brazilian standard interest rate does not. This example shows the usefulness of the estimation method in further using the model to fill in missing values and to provide intervaI forecasts.