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Intertemporal Capital Asset Pricing Model (intertemporal + capital_asset_pricing_model)
Selected AbstractsMarket Price of Risk: A Comparison among the United States, United Kingdom, Australia and Japan,INTERNATIONAL REVIEW OF FINANCE, Issue 4 2009KENT WANG ABSTRACT This study examines and compares the market price of risk of the S&P 500, FTSE 100, All Ordinaries, and Nikkei 225 markets from 1984 to 2009 in the framework of Intertemporal Capital Asset Pricing Model (ICAPM). We follow the Vector Autoregressive instrumental variable approach in identifying the risk and hedge components of market returns and argue that in the context of market integration, covariance with a world market portfolio is a better measure of market risk than conditional market variance. Evidence is documented in support of using covariance as a risk measure in explaining market risk premiums in the Australian and Japanese markets. CAY, the consumption wealth ratio from the US market is found to be a robust state variable that helps to explain both conditional variance and covariance processes in the four markets. The market prices of risk, after controlling for the hedging demands, are positive and significant with the United States having the highest price of risk. The results are confirmed using a series of robustness tests that include varying the sampling interval. [source] An Intertemporal Capital Asset Pricing Model with Owner-Occupied HousingREAL ESTATE ECONOMICS, Issue 3 2010Yongqiang Chu This article studies portfolio choice and asset pricing in the presence of owner-occupied housing in a continuous time framework. The unique feature of the model is that housing is a consumption good as well as a risky asset. Under general conditions, that is, when the utility function is not Cobb,Douglas and the covariance matrix is not block-diagonal, the model shows that the market portfolio is not mean-variance efficient, and the traditional capital asset pricing model fails. Nonetheless, a conditional linear factor pricing model holds with housing return and market portfolio return as two risk factors. The model also predicts that the nondurable consumption-to-housing ratio (ch) can forecast financial asset returns. The two factor pricing model conditioning on,ch,yields a good cross-sectional fit for Fama,French 25 portfolios. [source] Uncovering the Risk,Return Relation in the Stock MarketTHE JOURNAL OF FINANCE, Issue 3 2006HUI GUO ABSTRACT There is ongoing debate about the apparent weak or negative relation between risk (conditional variance) and expected returns in the aggregate stock market. We develop and estimate an empirical model based on the intertemporal capital asset pricing model (ICAPM) that separately identifies the two components of expected returns, namely, the risk component and the component due to the desire to hedge changes in investment opportunities. The estimated coefficient of relative risk aversion is positive, statistically significant, and reasonable in magnitude. However, expected returns are driven primarily by the hedge component. The omission of this component is partly responsible for the existing contradictory results. [source] International Comparisons on Stock Market Short-termism: How Different is the UK Experience?THE MANCHESTER SCHOOL, Issue 2000Angela J. Black Using data from five major stock markets and a vector autoregression estimation procedure underpinned by the traditional intertemporal capital asset pricing model, initial evidence suggests that the UK investing community is particularly prejudiced in terms of short-termist behaviour. The observed UK myopic outlook, however, may be more apparent than real. We hypothesize that UK investors are highly sensitive to uncertainty over future cash flows,a feature which is not being captured by traditional theoretical models. Motivated by the ,option value' approach, the evidence shows that uncertainty about UK economic conditions, as proxied by the spread between mortgage rates and base rates, can go some way in explaining the reported UK anomaly. [source] ON THE ROLE OF THE GROWTH OPTIMAL PORTFOLIO IN FINANCEAUSTRALIAN ECONOMIC PAPERS, Issue 4 2005Article first published online: 6 DEC 200, ECKHARD PLATEN The paper discusses various roles that the growth optimal portfolio (GOP) plays in finance. For the case of a continuous market we show how the GOP can be interpreted as a fundamental building block in financial market modeling, portfolio optimisation, contingent claim pricing and risk measurement. On the basis of a portfolio selection theorem, optimal portfolios are derived. These allocate funds into the GOP and the savings account. A risk aversion coefficient is introduced, controlling the amount invested in the savings account, which allows to characterize portfolio strategies that maximise expected utilities. Natural conditions are formulated under which the GOP appears as the market portfolio. A derivation of the intertemporal capital asset pricing model is given without relying on Markovianity, equilibrium arguments or utility functions. Fair contingent claim pricing, with the GOP as numeraire portfolio, is shown to generalise risk neutral and actuarial pricing. Finally, the GOP is described in various ways as the best performing portfolio. [source] |