The uncertainties about the relationships risk–return–volatility in the Spanish stock market

The relationships between the market risk premium, its conditional variance and the risk-free rate in the Spanish stock market are studied in this paper. Using daily data, the above mentioned relations are analyzed by quasi maximum likelihood for an EGARCH-M(1,1) model with normal innovations and by nonparametric maximum likelihood for a semiparametric EGARCH-M(1,1) model with arbitrarily distributed innovations. It is worth mentioning that the conclusions differ from one model to the other.

[1]  Bento J. Lobo.  Asymmetric Effects of Interest Rate Changes on Stock Prices , 2000 .

[2]  K. French,et al.  Expected stock returns and volatility , 1987 .

[3]  Ángeles Saavedra,et al.  Nonparametric maximum likelihood estimators for ar and ma time series , 2003 .

[4]  H. Iemoto.  Modelling the persistence of conditional variances , 1986 .

[5]  J. Wooldridge,et al.  Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances , 1992 .

[6]  R. Engle,et al.  Semiparametric ARCH Models , 1991 .

[7]  Enrique Sentana.  The relation between conditionally heteroskedastic factor models and factor GARCH models , 1998 .

[8]  G. William Schwert,et al.  Asset returns and inflation , 1977 .

[9]  Bronwyn H Hall,et al.  Estimation and Inference in Nonlinear Structural Models , 1974 .

[10]  Ricardo Cao.  Bootstrapping the mean integrated squared error , 1993 .

[11]  T. Bollerslev,et al.  Generalized autoregressive conditional heteroskedasticity , 1986 .

[12]  Enrique Sentana,et al.  Factor Representing Portfolios in Large Asset Markets , 2004 .

[13]  Robert F. Whitelaw.  Stock Market Risk and Return: An Equilibrium Approach , 1997 .

[14]  Gabriele Fiorentini,et al.  Identification, Estimation And Testing Of Conditionally Heteroskedastic Factor Models , 2001 .

[15]  John T. Scruggs.  Resolving the Puzzling Intertemporal Relation between the Market Risk Premium and Conditional Market Variance: A Two‐Factor Approach , 1998 .

[16]  Alex Kane,et al.  Measuring Risk Aversion from Excess Returns on a Stock Index , 1991 .

[17]  R. Aggarwal,et al.  Day of the week effects, information seasonality, and higher moments of security returns , 1997 .

[18]  Campbell R. Harvey.  Time-Varying Conditional Covariances in Tests of Asset Pricing Models , 1989 .

[19]  Daniel B. Nelson.  CONDITIONAL HETEROSKEDASTICITY IN ASSET RETURNS: A NEW APPROACH , 1991 .

[20]  Enrique Sentana,et al.  Testing for GARCH effects: a one-sided approach , 1998 .

[21]  Tarek S. Zaher,et al.  Intertemporal risk-return relationship in the Asian markets around the Asian crisis , 2001 .

[22]  R. Chou,et al.  ARCH modeling in finance: A review of the theory and empirical evidence , 1992 .

[23]  L. Glosten,et al.  Economic Significance of Predictable Variations in Stock Index Returns , 1989 .

[24]  B. Silverman.  Density estimation for statistics and data analysis , 1986 .

[25]  Enrique Sentana.  Quadratic Arch Models , 1995 .

[26]  Enrique Sentana.  Risk and return in the Spanish stock market: some evidence from individual assets , 1997 .

[27]  J. Campbell.  Stock Returns and the Term Structure , 1985 .

[28]  Wenceslao González-Manteiga,et al.  Saving computer time in constructing consistent bootstrap prediction intervals for autoregressive processes , 1997 .

[29]  Russell P. Robins,et al.  Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model , 1987 .

[30]  L. Glosten,et al.  On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks , 1993 .

[31]  Jay Shanken,et al.  Intertemporal asset pricing: An Empirical Investigation , 1990 .

[32]  M. Rothschild,et al.  Asset Pricing with a Factor Arch Covariance Structure: Empirical Estimates for Treasury Bills , 1988 .

[33]  A. Christie,et al.  The stochastic behavior of common stock variances: value , 1982 .