984 resultados para EQUITY PREMIUM PREDICTION
Resumo:
This paper uses 1992:1-2004:2 quarterly data and two di§erent methods (approximation under lognormality and calibration) to evaluate the existence of an equity-premium puzzle in Brazil. In contrast with some previous works in the Brazilian literature, I conclude that the model used by Mehra and Prescott (1985), either with additive or recursive preferences, is not able to satisfactorily rationalize the equity premium observed in the Brazilian data. The second contribution of the paper is calling the attention to the fact that the utility function may not exist if the data (as it is the case with Brazilian time series) implies the existence of states in which high negative rates of consumption growth are attained with relatively high probability.
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In this paper we revisit the relationship between the equity and the forward premium puzzles. We construct return-based stochastic discount factors under very mild assumptions and check whether they price correctly the equity and the foreign currency risk premia. We avoid log-linearizations by using moments restrictions associated with euler equations to test the capacity of our return-based stochastic discount factors to price returns on the relevant assets. Our main finding is that a pricing kernel constructed only using information on American domestic assets accounts for both domestic and international stylized facts that escape consumption based models. In particular, we fail to reject the null hypothesis that the foreign currency risk premium has zero price when the instrument is the own current value of the forward premium.
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Em 1985, Mehra e Prescott levantaram uma questão que até hoje não foi respondida de forma satisfatória: o prêmio de risco das ações americanas é muito maior do que poderia ser explicado pelo “paradigma neoclássico de finanças econômicas” (financial economics) representado pelo modelo C-CAPM. E, a partir de então, este problema não resolvido ficou conhecido como o “Equity Premium Puzzle” (EPP) ou o “Enigma do Prêmio (de risco) das Ações”. Este enigma estimulou a produção de uma série de artigos, dissertações e teses que tentaram ajustar os modelos intertemporais de utilidade esperada aos dados dos mercados financeiros. Dentro deste contexto, esta tese busca (i) revisar a evolução histórica da teoria dos modelos de maximização da utilidade intertemporal dos agentes, (ii) analisar os pressupostos e conceitos chaves desses modelos, (iii) propor um novo modelo que seja capaz de solucionar o EPP, (iv) aplicar este modelo proposto aos dados históricos anuais entre 1929 e 2004 e (v) validar a lógica deste modelo através das metodologias Mehra-Prescott e Hansen-Jagannathan. Esta tese faz uma crítica de que os estudos até aqui desenvolvidos tentaram explicar a dinâmica de um mercado financeiro altamente sofisticado, através de um modelo de economia não-monetária e de subsistência. Assim, a sua contribuição consiste na alteração desse pressuposto de uma economia de subsistência, considerando que a renda disponível do setor privado não seja integralmente consumida, mas que também possa ser poupada. Assumindo que as pessoas obtêm satisfação (utilidade) tanto pelo consumo atual como pela poupança atual (que será o consumo futuro), será deduzido que a utilidade marginal de consumir é igual à de poupar, em todo e qualquer período. Com base nisso, a utilidade marginal a consumir é substituída pela utilidade marginal de poupar dentro do modelo básico do C-CAPM. Para reforçar a idéia de que o modelo desta tese usa dados de poupança em vez de consumo, ao longo do trabalho ele será chamado de Sanving-CAPM, ou S-CAPM. Este novo modelo mostrou-se capaz de solucionar o EPP quando submetidas às abordagens Mehra-Prescott e Hansen-Jagannathan.
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We build a pricing kernel using only US domestic assets data and check whether it accounts for foreign markets stylized facts that escape consumption based models. By interpreting our stochastic discount factor as the projection of a pricing kernel from a fully specified model in the space of returns, our results indicate that a model that accounts for the behavior of domestic assets goes a long way toward accounting for the behavior of foreign assets. We address predictability issues associated with the forward premium puzzle by: i) using instruments that are known to forecast excess returns in the moments restrictions associated with Euler equations, and; ii) by pricing Lustig and Verdelhan (2007)'s foreign currency portfolios. Our results indicate that the relevant state variables that explain foreign-currency market asset prices are also the driving forces behind U.S. domestic assets behavior.
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Using information on US domestic financial data only, we build a stochastic discount factor—SDF— and check whether it accounts for foreign markets stylized facts that escape consumption based models. By interpreting our SDF as the projection of a pricing kernel from a fully specified model in the space of returns, our results indicate that a model that accounts for the behavior of domestic assets goes a long way toward accounting for the behavior of foreign assets prices. We address predictability issues associated with the forward premium puzzle by: i) using instruments that are known to forecast excess returns in the moments restrictions associated with Euler equations, and; ii) by pricing Lustig and Verdelhan (2007)’s foreign currency portfolios. Our results indicate that the relevant state variables that explain foreign-currency market asset prices are also the driving forces behind U.S. domestic assets behavior.
Resumo:
Using information on US domestic financial data only, we build a stochastic discount factor—SDF— and check whether it accounts for foreign markets stylized facts that escape consumption based models. By interpreting our SDF as the projection of a pricing kernel from a fully specified model in the space of returns, our results indicate that a model that accounts for the behavior of domestic assets goes a long way toward accounting for the behavior of foreign assets prices. We address predictability issues associated with the forward premium puzzle by: i) using instruments that are known to forecast excess returns in the moments restrictions associated with Euler equations, and; ii) by comparing this out-of-sample results with the one obtained performing an in-sample exercise, where the return-based SDF captures sources of risk of a representative set of developed and emerging economies government bonds. Our results indicate that the relevant state variables that explain foreign-currency market asset prices are also the driving forces behind U.S. domestic assets behavior.
Resumo:
We build a stochastic discount factor—SDF— using information on US domestic financial data only, and provide evidence that it accounts for foreign markets stylized facts that escape SDF’s generated by consumption based models. By interpreting our SDF as the projection of the pricing kernel from a fully specified model in the space of returns, our results indicate that a model that accounts for the behavior of domestic assets goes a long way toward accounting for the behavior of foreign assets prices. In our tests, we address predictability, a defining feature of the Forward Premium Puzzle—FPP— by using instruments that are known to forecast excess returns in the moments restrictions associated with Euler equations both in the equity and the foreign markets.
Resumo:
We build a stochastic discount factor—SDF— using information on US domestic financial data only, and provide evidence that it accounts for foreign markets stylized facts that escape SDF’s generated by consumption based models. By interpreting our SDF as the projection of the pricing kernel from a fully specified model in the space of returns, our results indicate that a model that accounts for the behavior of domestic assets goes a long way toward accounting for the behavior of foreign assets prices. In our tests, we address predictability, a defining feature of the Forward Premium Puzzle—FPP— by using instruments that are known to forecast excess returns in the moments restrictions associated with Euler equations both in the equity and the foreign markets.
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The Forward Premium Puzzle (FPP) is how the empirical observation of a negative relation between future changes in the spot rates and the forward premium is known. Modeling this forward bias as a risk premium and under weak assumptions on the behavior of the pricing kernel, we characterize the potential bias that is present in the regressions where the FPP is observed and we identify the necessary and sufficient conditions that the pricing kernel has to satisfy to account for the predictability of exchange rate movements. Next, we estimate the pricing kernel applying two methods: i) one, du.e to Araújo et aI. (2005), that exploits the fact that the pricing kernel is a serial correlation common feature of asset prices, and ii) a traditional principal component analysis used as a procedure 1;0 generate a statistical factor modeI. Then, using on the sample and out of the sample exercises, we are able to show that the same kernel that explains the Equity Premi um Puzzle (EPP) accounts for the FPP in all our data sets. This suggests that the quest for an economic mo deI that generates a pricing kernel which solves the EPP may double its prize by simultaneously accounting for the FPP.
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As empresas de capital aberto, listadas em bolsa de valores, são naturalmente aquelas que vieram apresentando retornos superiores perante às demais empresas do seu setor. Assim, será que o viés de seleção desses ativos in uencia sigini cativamente no resultado do Equity Premium Puzzle, primordialmente lançado por Mehra and Prescott (1985)? É essa pergunta que este trabalho investiga e conclui que, sim, de fato pode haver uma in uência desse viés em explicar o Puzzle . Para isso, iremos gerar uma economia cujos ativos, por hipótese, sejam preci cados de acordo com o fator estocástico de desconto (SDF) baseado em consumo, ou seja, os modelos conhecidos como CCAPM (Consumption Capital Asset Pricing Model). Assim, essa economia será gerada via simulação de Monte Carlo, de forma que iremos construir um índice benchmark dessa economia, nos quais participariam apenas os ativos que foram historicamente mais rentáveis. Adota-se tal metodologia em paralelo à forma como os reais benchmarks são construidos (S&P 500, Nasdaq, Ibovespa), em que neles participam, basicamente, as empresas de capital aberta mais negociadas em Bolsa de Valores, que são, comumente, as empresas historicamente mais rentáveis da economia. Em sequência, iremos realizar a estimação via GMM (Generalized Method of Moments) de um dos parâmetros de interesse de uma economia CCAPM: o coe ciente de aversão relativa ao risco (CRRA). Finalmente, os resultados obtidos são comparados e analisados quanto ao viés de estimação.
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One of the fundamental econometric models in finance is predictive regression. The standard least squares method produces biased coefficient estimates when the regressor is persistent and its innovations are correlated with those of the dependent variable. This article proposes a general and convenient method based on the jackknife technique to tackle the estimation problem. The proposed method reduces the bias for both single- and multiple-regressor models and for both short- and long-horizon regressions. The effectiveness of the proposed method is demonstrated by simulations. An empirical application to equity premium prediction using the dividend yield and the short rate highlights the differences between the results by the standard approach and those by the bias-reduced estimator. The significant predictive variables under the ordinary least squares become insignificant after adjusting for the finite-sample bias. These discrepancies suggest that bias reduction in predictive regressions is important in practical applications.
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Analysis of the equity premium puzzle has focused on private sector capital markets. The object of this paper is to consider the welfare and policy implications of each of the broad classes of explanations of the equity premium puzzle. As would be expected, the greater the deviation from the first-best outcome implied by a given explanation of the equity premium puzzle, the more interventionist are the implied policy conclusions. Nevertheless, even explanations of the equity premium puzzle consistent with a general consumption-based asset pricing model have important welfare and policy implications.
Resumo:
Verdelhan (2009) mostra que desejando-se explicar o comporta- mento do prêmio de risco nos mercados de títulos estrangeiros usando- se o modelo de formação externa de hábitos proposto por Campbell e Cochrane (1999) será necessário especi car o retorno livre de risco de equilíbrio de maneira pró-cíclica. Mostramos que esta especi cação só é possível sobre parâmetros de calibração implausíveis. Ainda no processo de calibração, para a maioria dos parâmetros razoáveis, a razão preço-consumo diverge. Entretanto, adotando a sugestão pro- posta por Verdelhan (2009) - de xar a função sensibilidade (st) no seu valor de steady-state durante a calibração e liberá-la apenas du- rante a simulação dos dados para se garantir taxas livre de risco pró- cíclicas - conseguimos encontrar um valor nito e bem comportado para a razão preço-consumo de equilíbrio e replicar o foward premium anom- aly. Desconsiderando possíveis inconsistências deste procedimento, so- bre retornos livres de risco pró-cíclicos, conforme sugerido por Wachter (2006), o modelo utilizado gera curvas de yields reais decrescentes na maturidade, independentemente do estado da economia - resultado que se opõe à literatura subjacente e aos dados reais sobre yields.
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Verdelhan (2009) shows that if one is to explain the foreign exchange forward premium behavior using Campbell and Cochrane (1999)’s habit formation model one must specify it in such a way to generate pro-cyclical short term risk free rates. At the calibration procedure, we show that this is only possible in Campbell and Cochrane’s framework under implausible parameters specifications given that the price-consumption ratio diverges in almost all parameters sets. We, then, adopt Verdelhan’s shortcut of fixing the sensivity function λ(st) at its steady state level to attain a finite value for the price-consumption ratio and release it in the simulation stage to ensure pro-cyclical risk free rates. Beyond the potential inconsistencies that such procedure may generate, as suggested by Wachter (2006), with procyclical risk free rates the model generates a downward sloped real yield curve, which is at odds with the data.