In 1979 Daniel Kahneman and Amos Tversky created the prospect theory. It became an accepted and appropriate theory in explaining decision making under risk. The prospect theory has been one of the most cited articles in economics and Kahneman received the Nobel Prize in Economic Sciences as a result of the creation and development of the theory. Therefore the prospect theory is considered to be more suitable compared to the previously accepted theory, the expected utility theory. Following the prospect theory, researchers have utilized it to describe individual but also corporate management decision making when faced with risk. In this thesis the authors will focus on the latter. Despite the prospect theory being a well-accepted theory, there have been several critics due to its limitations and Audia and Greve (2006) are one of these critics. Their study suggested that corporations under threat, i.e. small firms with low returns, act risk averse. The findings of Audia and Greve (2006) violate the prospect theory when considering small firms that have below target returns. They tested the theory on an industry that has the characteristics of having relatively high proportions of tangible assets. Audia and Greve (2006) also proposed that a similar conclusion could be drawn if tested on an industry characterized by having a high level of intangible assets. This thesis examines the applicability of the prospect theory in the Swedish automotive industry and staffing and recruitment industry. The characteristics of the two industries are that the automotive industry has a high proportion of tangible assets and the staffing and recruitment industry has a high level of intangibles. The authors test if the prospect theory can be used to describe the decision making of both industries but also test the theory on small and large firms. Following the results of this paper we show that the prospect theory can be applied to the Swedish automotive industry and staffing and recruitment industry, characterized by having high levels of tangible assets and intangible assets respectively. The theory can also be used to explain decision making under risk for small firms within both industries and large firms within the automotive industry. Even though the prospect theory was originally tested on individuals, the conclusion can be drawn that the prospect theory once again prevails as an explanation of the decision making in the management of corporations. It can describe the decision making of firms in the two industries having characteristics of different asset tangibility and for firms of different size.

Submitted by Joshua spierts (spierts_joshua@msn.com) on 2018-02-05T13:06:36Z No. of bitstreams: 1 ThesisFinalDraftFGV.pdf: 377288 bytes, checksum: 63f6a61517939667b90055195c227c37 (MD5) / Rejected by Josineide da Silva Santos Locatelli (josineide.locatelli@fgv.br), reason: Dear Hubertus, Please, correct just 2 things in your thesis: Page 2: Please, put the full name of your adviser; Page 5: The text of resumo needs to be justify, it is untidy on 2018-02-05T18:56:26Z (GMT) / Submitted by Joshua spierts (spierts_joshua@msn.com) on 2018-02-06T12:09:03Z No. of bitstreams: 1 ThesisFinalDraftFGV.pdf: 377628 bytes, checksum: e0b66926412c6787392f57e3b5d60e44 (MD5) / Rejected by Josineide da Silva Santos Locatelli (josineide.locatelli@fgv.br), reason: Joshua, I will send an email. on 2018-02-06T12:23:03Z (GMT) / Submitted by Joshua spierts (spierts_joshua@msn.com) on 2018-02-06T12:27:01Z No. of bitstreams: 1 ThesisFinalDraftFGV.pdf: 378305 bytes, checksum: c0cad61d2c11c1f94697ddaf8dd37791 (MD5) / Approved for entry into archive by Josineide da Silva Santos Locatelli (josineide.locatelli@fgv.br) on 2018-02-06T12:29:21Z (GMT) No. of bitstreams: 1 ThesisFinalDraftFGV.pdf: 378305 bytes, checksum: c0cad61d2c11c1f94697ddaf8dd37791 (MD5) / Made available in DSpace on 2018-02-06T12:33:54Z (GMT). No. of bitstreams: 1 ThesisFinalDraftFGV.pdf: 378305 bytes, checksum: c0cad61d2c11c1f94697ddaf8dd37791 (MD5) Previous issue date: 2018-01-16 / This paper will follow Pettengill et al.’s (1995) approach to examine the unconditional and conditional relationship between beta and returns from January 1995 to May 2017 in a well globally diversified sample of 22 emerging markets and 23 developed markets. Additionally, Pettengill et al.’s (1995) methodology is adjusted to take into account 1-year time-varying beta values to supplement and check the robustness of the initial results. The empirical results for the full sample as well as both sub-samples indicate that there is no significant unconditional relationship between beta and returns, however, when differentiating between up- and down-markets a significant conditional relationship is found. This paper adds to the existing literature by examining and comparing a large sample of both developed and emerging markets, as well as, confirming the results according to Pettengill et al.’s methodology with timevarying betas. / Este artigo seguirá a abordagem de Pettengill et al. (1995) para examinar a relação incondicional e condicional entre beta e retornos de janeiro de 1995 a maio de 2017 em uma amostra globalmente diversificada de 22 mercados emergentes e 23 mercados desenvolvidos. Além disso, a metodologia de Pettengill et al. (1995) é ajustada para levar em conta valores beta de variação do tempo de 1 ano para complementar e verificar a robustez dos resultados iniciais. Os resultados empíricos para a amostra completa, bem como as duas sub-amostras, indicam que não existe uma relação incondicional significativa entre beta e retorno, no entanto, quando se diferencia entre os mercados ascendentes e descendentes, é encontrada uma relação condicional significativa. Este artigo acrescenta-se à literatura existente, examinando e comparando uma grande amostra de mercados desenvolvidos e emergentes, bem como, confirmando os resultados de acordo com a metodologia de Pettengill et al., Com betas variáveis no tempo.

Submitted by Leonardo Mathiazzi Lagnado (lagnado@gvmail.br) on 2016-09-09T00:28:36Z No. of bitstreams: 1 MPFE - Lagnado - Versão Final.pdf: 7778858 bytes, checksum: 16803ed7c2489aa7863aa44717c8719a (MD5) / Rejected by Renata de Souza Nascimento (renata.souza@fgv.br), reason: Leonardo, boa tarde Para que possamos aceitar seu trabalho, deverá realizar algumas alterações conforme as normas da ABNT. Segue abaixo: - Na capa: o nome da Escola deve estar em Português. - Na contra capa e na folha de assinaturas, todas as informações também deverão estar em português; exceto o título. - Incluir o Resumo em português. - Retirar a numeração das páginas anteriores à página da Introdução. Em seguida, realizar uma nova submissão. Att on 2016-09-09T16:20:32Z (GMT) / Submitted by Leonardo Mathiazzi Lagnado (lagnado@gvmail.br) on 2016-09-09T17:19:58Z No. of bitstreams: 1 MPFE - Lagnado - Versão Final.pdf: 2462733 bytes, checksum: 42b0f77db7736bc5bba5fb9151e9bfe7 (MD5) / Rejected by Renata de Souza Nascimento (renata.souza@fgv.br), reason: Leonardo, boa tarde Retirar EESP que consta ao lado do nome da escola. O resumo, precisa estar em outra página e não junto com o Abstract. Por gentileza, alterar novamente e realizar outra submissão. grata. on 2016-09-09T17:35:09Z (GMT) / Submitted by Leonardo Mathiazzi Lagnado (lagnado@gvmail.br) on 2016-09-09T17:49:12Z No. of bitstreams: 1 MPFE - Lagnado - Versão Final.pdf: 2161653 bytes, checksum: f9a6629a0d197f07ac895a9744a94dbc (MD5) / Rejected by Renata de Souza Nascimento (renata.souza@fgv.br), reason: Leonardo, Verificar as páginas anteriores à Introdução, pois permanecem numeradas. A numeração a partir da Introdução, está correta. Mas os números devem estar ao lado direito. Aguardo. on 2016-09-09T17:55:21Z (GMT) / Submitted by Leonardo Mathiazzi Lagnado (lagnado@gvmail.br) on 2016-09-09T18:10:05Z No. of bitstreams: 1 MPFE - Lagnado - Versão Final.pdf: 2179487 bytes, checksum: edf32ad2e01e1bd9e7b9d944d5979f47 (MD5) / Rejected by Renata de Souza Nascimento (renata.souza@fgv.br), reason: Leonardo, A numeração deve estar ao lado direito, conforme informado anteriormente. Aguardo. Grata on 2016-09-09T18:17:37Z (GMT) / Submitted by Leonardo Mathiazzi Lagnado (lagnado@gvmail.br) on 2016-09-09T18:37:24Z No. of bitstreams: 1 MPFE - Lagnado - Versão Final.pdf: 2196807 bytes, checksum: 5df765c28e119b9162e7a6ec07a45e4a (MD5) / Approved for entry into archive by Renata de Souza Nascimento (renata.souza@fgv.br) on 2016-09-09T18:49:45Z (GMT) No. of bitstreams: 1 MPFE - Lagnado - Versão Final.pdf: 2196807 bytes, checksum: 5df765c28e119b9162e7a6ec07a45e4a (MD5) / Made available in DSpace on 2016-09-09T20:03:17Z (GMT). No. of bitstreams: 1 MPFE - Lagnado - Versão Final.pdf: 2196807 bytes, checksum: 5df765c28e119b9162e7a6ec07a45e4a (MD5) Previous issue date: 2016-08-23 / This dissertation is aimed at evaluating the risk-return relationship of stocks by incrementing the Fama and French five-factor model (F. FAMA and R. FRENCH, 2015) with two new variables. This was done by creating a six-factor model aimed at capturing the size, value, profitability, investment and governance patterns in average stock returns. An additional seven-factor model was also created by adding a herding factor. Governance and herding were chosen as additional factors because of a hypothesis that they would be relevant in less efficient markets such as Brazil. The evaluation of the two model´s performance versus the traditional five-factor model was performed next, as well as the assessment of relevance of the newly added factors. Testing the six-factor model, it had a similar performance to the five-factor model, and the governance factor proved to be relevant in the Brazilian market. Adding the herding factor weakened the results, although the factor still proved to be relevant in some cases. / O objetivo desta dissertação é avaliar a relação risco-retorno de ações incrementando o modelo de cinco fatores de Fama e French (F. FAMA and R. FRENCH, 2015) com duas novas variáveis. Isso foi feito criando um modelo de seis fatores que busca capturar os padrões de tamanho, valor, lucratividade, investimento e governança nos retornos médios de ações. Um modelo adicional de sete fatores também foi criado adicionando um fator para o efeito manada. A governança e o efeito manada foram escolhidos como fatores adicionais por conta da hipótese de que eles seriam relevantes em mercados menos eficientes como o Brasil. A avaliação da performance dos dois modelos contra o modelo tradicional de cinco fatores foi então realizada, bem como a avaliação da relevância dos novos fatores. Testando o modelo de seis fatores, descobrimos que ele tem uma performance semelhante ao de cinco fatores, e o fator de governança mostrou ser relevante no mercado Brasileiro. Adicionando o fator para o efeito manada enfraqueceu os resultados, embora o fator ainda mostrou-se relevante em alguns casos.

[pt] Esta pesquisa investiga primeiramente, por meio de regressões, a relação entre as volatilidades implícitas das opções e os retornos futuros de 20, 40 e 60 dias das ações subjacentes no mercado acionário brasileiro. Essas regressões são então submetidas a testes de heterocedasticidade para garantir que não são regressões espúrias. Por fim, submetemos os resultados a um teste de robustez que confirma as regressões válidas e verifica a presença de autocorrelação nas séries de retornos futuros. O período analisado é de janeiro de 2011 a dezembro de 2021 em um total de onze anos completos. Apesar de apresentarem coeficientes de regressão significativos, nem todas essas regressões passam pelos testes, e sempre deve-se ter cautela ao usar uma volatilidade implícita de opção como sendo capaz de prever retornos das ações subjacentes no mercado brasileiro. / [en] This research first investigates, through regressions, the relationship between the implied volatilities of options and the future returns of 20, 40 and 60 days of the underlying stocks within the Brazilian stock market. These regressions are then subjected to heteroscedasticity tests to ensure that they are not spurious regressions. Finally, we submit the results to robustness tests to confirm the valid regressions and verify the presence of autocorrelation in the series of future returns. The period under analysis is from January 2011 to December 2021, totalling 11 years. Despite having significant regression coefficients, not all of these regressions pass the tests, and one should always exercise caution when using an option implied volatility as a predictor of underlying equity returns in the Brazilian market.