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This dissertation focuses on the consumption-based §asset pricing models developed by Lucas (1978). The §first chapter studies the effect of a change in §aggregate risk on the prices of bonds and stocks. A §decomposition method of the dividend and discount §rate effect is defined. Sufficient conditions on §preferences are specified such that an increase in §risk guarantees a fall in stock prices. In the §second chapter, an empirical study examines whether §Bayesian learning can help the Lucas-type models §predict the low levels of short-term real interest §rates in the US. The results show that parameter §uncertainty alone cannot resolve the risk-free rate§puzzle. The learning process ends too rapidly §for parameter uncertainty to play an important role §in affecting bond returns. The third chapter §investigates whether the downturns of business §cycles have caused the falls of real interest rates. §A standard Lucas-type model, with an added feature §that investors have to learn about the unobservable §alternation of business cycles, is calibrated. The §simulation technique of the Markov Chain Monte Carlo §is used to compute the real interest rates.
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