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Objective To describe the implications of social inability as a factor that can contribute to sexual abuse in the marriage relationship of people with high-functioning autism spectrum disorder (ASD). Case description A 30-year-old male sought medical attention complaining of being “very nervous” and have difficulties in family relationships. He was diagnosed with high-functioning ASD based on the DSM-5. Married for over 4 years with a woman diagnosed with histrionic personality disorder (HPD), he asked for her to accompany him in the sessions and help him describe difficulties they had during sexual intercourse. His wife reported feeling raped in all of her sexual relations with the patient, especially when he could not understand that she did not want sex. Comments The case study leads us to believe that the social and communicative disability is a complicating factor that can contributes to the occurrence of sexual abuse in marital relationships with individuals with ASD. Social skills training, psychotherapy, and traditional medical therapies should be considered to minimize the risk of occurrence of cases of sexual abuse by individuals with high-functioning ASD against the spouses themselves.

O artigo apresenta um estudo comparativo da capacidade preditiva dos modelos EWMA, GARCH (1,1), EGARCH (1,1) e TARCH (1,1), quando utilizados para prever a volatilidade das taxas de câmbio praticadas no mercado interbancário brasileiro. A amostra é composta pelas cotações diárias de fechamento da taxa de câmbio real/dólar estadunidense observadas no período de 20 de agosto de 2001 a 30 de setembro de 2003. Os resultados demonstraram que o modelo TARCH (1,1) apresentou o melhor desempenho preditivo para o período, acompanhado de perto pelo modelo EGARCH (1,1), seguindo-se o modelo GARCH (1,1) e, por último, o modelo EWMA. Constatou-se também que todos os modelos revelaram uma propensão a superestimar a volatilidade futura, e que a Clearing de Câmbio da BM&F atua de forma excessivamente conservadora e subjetiva na definição dos índices de variação da taxa de câmbio contratualmente garantidos e, conseqüentemente, na exigência de garantias. This paper presents a comparative study of the predictive capacity of the models EWMA, GARCH (1,1) EGARCH (1,1) and TARCH (1,1) when applied to forecast the volatility of the exchange rates in the Brazilian inter-bank market. The sample consists of the daily closing quotations of the exchange rate real/US dollar obtained in the period from August 20, 2001 to September 30, 2003. The results showed that the TARCH (1,1) model, provided the most accurate forecast performance for this period, followed closely by the EGARCH (1,1) model, then the GARCH (1,1) model, and finally the EWMA model. There was also evidence that all the models revealed a tendency to overestimate the future volatility. It was confirmed as well that the Brazilian Exchange Clearinghouse operates in an extremely traditional and subjective way concerning the definition of the exchange rate variation indexes guaranteed under contract and, consequently, in collateral requirements.