Recent researches on stock market volatility have found considerable empirical evidence for the persistence of variance in stock market returns. The ARCH and unit root models in different versions analysed by Engle and Bollerslev (1986), Schwert (1989) and Nelson (1991) have usually discussed the conditional variance process as a function of lagged variance, where the skewness of the return dis...

This paper examines how stock prices are affected by research and development activities for Danish firms for the period, 1989 to 2002. Both through analysis of portfolios and regression analysis, the role of R&D assets is considered along with a number of other fundamental factors, such as size, the book to market ratio, leverage and the CAPM beta. There is at best a weak indication that R&D i...

Computational Grids are a promising platform for executing large-scale resource intensive applications. This paper identifies challenges in managing resources in a Grid computing environment and proposes computational economy as a metaphor for effective management of resources and application scheduling. It identifies distributed resource management challenges and requirements of economy-based ...

This paper discusses how to introduce liquidity into the well known mean-variance framework of portfolio selection using a representative sample of Spanish equity portfolios. Either by estimating mean-variance liquidity constrained frontiers or directly estimating optimal portfolios for alternative levels of risk aversion and preference for liquidity, we obtain strong effects of liquidity on op...

The Doubtful Profitability of Foggy Pricing* A particular tariff option is said to be foggy when another option or a combination of other tariff options offered by the same firm is always less expensive regardless of the usage profile of any customer. Alternatively, tariff fogginess may refer to the whole set of tariff options and it is related to the low likelihood that a particular tariff opt...

This paper uses a functional coefficient regression to estimate time-varying betas and alphas in the conditional capital asset pricing model. Functional coefficient representation relaxes the strict assumptions on the structure of betas and alphas by combining the predictors into an index that best captures time variations in betas and alphas and estimates them nonparametrically. This index in ...

This paper develops and estimates a heteroskedastic variant of Campbell s [Campbell, J., 1993. Intertemporal asset pricing without consumption data. American Economic Review 83, 487–512] ICAPM, in which risk factors include a stock market return and variables forecasting stock market returns or variance. Our main innovation is the use of a new set of predictive variables, which not only have su...

We analyze theoretically and empirically the implications of heterogeneous information for equilibrium asset pricing and portfolio choice. Our theoretical framework, directly inspired by Admati (1985), implies that with partial information aggregation, portfolio separation fails, buy-and-hold strategies are not optimal, and investors should structure their portfolios using the information conta...

We develop structural econometric tests of asset pricing theory for application to data from experimental financial markets. The tests differ from those used in the analysis of field data because they verify the consistency between prices and allocations, as opposed to merely testing whether only prices satisfy equilibrium restrictions. Our tests also differ from standard field tests because th...

We test whether the alpha of an investment relative to one’s existing portfolio can be used to improve out-of-sample performance (Sharpe ratio; Four-factor alpha). For the period 20002014, we confirm this for the Vanguard S&P 500 Index Fund and the Growth and Small Index Fund, which we extend by adding various Exchange Traded Funds. If one considers that our baseline funds may be proxies of the...