Predictability of Equity Models

In this study, we verify the existence of predictability in the Brazilian equity market. Unlike other studies in the same sense, which evaluate original series for each stock, we evaluate synthetic series created on the basis of linear models of stocks. Following Burgess (1999), we use the “stepwise regression” model for the formation of models of each stock. We then use the variance ratio profile together with a Monte Carlo simulation for the selection of models with potential predictability. Unlike Burgess (1999), we carry out White’s Reality Check (2000) in order to verify the existence of positive returns for the period outside the sample. We use the strategies proposed by Sullivan, Timmermann & White (1999) and Hsu & Kuan (2005) amounting to 26,410 simulated strategies. Finally, using the bootstrap methodology, with 1,000 simulations, we find strong evidence of predictability in the models, including transaction costspredictability, variance ratio profile, Monte Carlo simulation, reality check, bootstrap, technical analysis

Testing the Hypothesis of Contagion using Multivariate Volatility Models

The aim of this paper is to test whether or not there was evidence of contagion across the various financial crises that assailed some countries in the 1990s. Data on sovereign debt bonds for Brazil, Mexico, Russia and Argentina were used to implement the test. The contagion hypothesis is tested using multivariate volatility models. If there is any evidence of structural break in volatility that can be linked to financial crises, the contagion hypothesis will be confirmed. Results suggest that there is evidence in favor of the contagion hypothesisContagion, Multivariate Volatility Models

Testing the long-run implications of the expectation hypothesis using cointegration techniques with structural change

This paper investigates whether or not multivariate cointegrated process with structural change can describe the Brazilian term structure of interest rate data from 1995 to 2006. In this work the break point and the number of cointegrated vector are assumed to be known. The estimated model has four regimes. Only three of them are statistically different. The first starts at the beginning of the sample and goes until September of 1997. The second starts at October of 1997 until December of 1998. The third starts at January of 1999 and goes until the end of the sample. It is used monthly data. Models that allows for some similarities across the regimes are also estimated and tested. The models are estimated using the Generalized Reduced-Rank Regressions developed by Hansen (2003). All imposed restrictions can be tested using likelihood ratio test with standard asymptotic qui-squared distribution. The results of the paper show evidence in favor of the long run implications of the expectation hypothesis for Brazil.Term structure, cointegration, structural change

Head and Shoulder: testing the profitability of graphic pattern of technical analysis for the Brazilian Stock Exchange

Starting from an adapted version of Osler and Chang (1995) methodology, this article empirically evaluates the profitability of investment strategies based on identification of the Head and Shoulders chart pattern in the Brazilian stock market. For that purpose, several investment strategies conditioned by the identification of the Head and Shoulders pattern (in its basic and inverted forms) by a computer algorithm in daily price series of 30 stocks from January 1994 to January 2009 were defined. Confidence intervals consistent with the null hypothesis that no strategies with positive returns can be based only on historical data were constructed using the Bootstrap sample inference technique in order to test the predictive power of each strategy. More specifically, the mean returns obtained by each strategy when applied to the stock’s price series were compared to those obtained by the same strategies when applied to 1.000 artificial price series - for each stock - generated in a parametric manner, by an E-GARCH, and in a nonparametric one. Overall, our results show that it is possible to create strategies conditioned by the occurrence of Head and Shoulders, with positive returns, which indicates that these patterns can capture from stock historical prices some signals about their future price trend that makes possible to create profitable strategies. Nevertheless, the same conclusions are not valid for the pattern in its inverted form and when the effects of taxes and transaction costs are considered, depending on their magnitude, neither in its basic form.Charting, Technical Analysis, Bootstrap, E-GARCH, investment strategy, Head and Shoulders, Osler and Chang

Evaluating the existence of structural change in the Brazilian term structure of interest rate: evidence based on Hansens cointegration models with structural break

This paper investigates whether there is evidence of struc- tural change in the Brazilian term structure of interest rates. Multivari- ate cointegration techniques are used to verify this evidence. An econo- metric model is estimated which is a Vector Autoregressive Model with Error Correction Mechanism (VECM) with abrupt structural change formulated by Hansen [13]. Two datasets were analysed. The rst one contains a nominal interest rate with maturity up to three years. The second data set focuses on maturity up to one year. The rst data set focuses on a sample period from 1995 to 2010 and the second from 1998 to 2010. The frequency is monthly. The estimated models suggest the existence of structural change in the Brazilian term structure. It was possible to document the existence of multiple regimes using the tech- nique for both databases. The risk premium for dierent spreads varied considerably during the earliest period of both samples and seemed to converge to stable and lower values at the end of the sample period. Long-term risk premiums seemed to converge to international stand- ards, although the Brazilian term structure is still subject to liquidity problems for longer maturities

Testing the contagion hypotheses using multivariate volatility models

This aim of this paper is to test whether or not there was evidence of financial crises ‘contagion’. The sovereignty debt bonds data for Brazil, Mexico, Russia and Argentine were used to implement such test. The ‘contagion’ hypothesis is tested using multivariate volatility models. It’s considered evidence in favor of ‘contagion’ hypothesis if there is indication of structural instability that can be linked in any sense to one financial crisis. The result suggests that there is evidence in favor of ‘contagion’ hypothesisContagion; Multivariate Volatility Models