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Full-Text Articles in Social and Behavioral Sciences
Comment On Casey Mulligan: Keynes In Both Fresh And Salt Water, Sergio Da Silva
Comment On Casey Mulligan: Keynes In Both Fresh And Salt Water, Sergio Da Silva
Sergio Da Silva
Casey Mulligan suggested in The Economists' Voice that this recession was caused by "something [that] made real wages high and employment low." This coincides with his own view of the causes of the Great Depression. The similarity inevitably brings back General-Theory-Keynes, according to Da Silva, and justifies the suspicion of some salt water economists that Mulligan is blaming both downturns on laziness.
The Future Of Economics Is Scientific, Sergio Da Silva
The Future Of Economics Is Scientific, Sergio Da Silva
Sergio Da Silva
No abstract provided.
Biological Characteristics Modulating Investor Overconfidence, Marcia L. Zindel, Emilio Menezes, Raul Matsushita, Sergio Da Silva
Biological Characteristics Modulating Investor Overconfidence, Marcia L. Zindel, Emilio Menezes, Raul Matsushita, Sergio Da Silva
Sergio Da Silva
Applying a standard questionnaire (Lichtenstein and Fischhoff 1977) to a sample of 44 professional investors, we sought for explicit correlations between selected biological characteristics of the investors and the cognitive bias known as overconfidence. We found that both male and female investors showed overconfidence above the subjective probability of 0.7 and underconfidence below this threshold. But the sexes seemed to behave differently when they were totally uncertain of their answers. Experienced and inexperienced investors were overconfident whenever they were 70 percent (or above) confident of their answers. Despite that, experienced investors were relatively more calibrated. Of those who were highly …
Efficiency Of Financial Markets And Algorithmic Complexity, Ricardo Giglio, Sergio Da Silva, Iram Gleria, Adhemar Ranciaro, Raul Matsushita, Annibal Figueiredo
Efficiency Of Financial Markets And Algorithmic Complexity, Ricardo Giglio, Sergio Da Silva, Iram Gleria, Adhemar Ranciaro, Raul Matsushita, Annibal Figueiredo
Sergio Da Silva
In this work we are interested in the concept of market efficiency and its relationship with the algorithmic complexity theory. We employ a methodology based on the Lempel-Ziv index to analyze the relative efficiency of high-frequency data coming from the Brazilian stock market.