User profiles for G. González-Rivera

Gloria Gonzalez-Rivera

Professor of Economics
Verified email at ucr.edu
Cited by 2631

Smooth-transition GARCH models

G González-Rivera - Studies in Nonlinear Dynamics & Econometrics, 1998 - degruyter.com
The asymmetric response of conditional variances to positive versus negative news has
been traditionally modeled with threshold specifications that allow only two possible regimes: …

Forecasting volatility: A reality check based on option pricing, utility function, value-at-risk, and predictive likelihood

G González-Rivera, TH Lee, S Mishra - International Journal of forecasting, 2004 - Elsevier
We analyze the predictive performance of various volatility models for stock returns. To
compare their performance, we choose loss functions for which volatility estimation is of …

The extent, pattern, and degree of market integration: A multivariate approach for the Brazilian rice market

G GonzálezRivera, SM Helfand - American Journal of …, 2001 - Wiley Online Library
… Gloria González-Rivera is associate professor and Steven M. Helfand assistant professor
in the Department of Economics at the University of California, Riverside. This article was …

Semiparametric ARCH models

RF Engle, G Gonzalez-Rivera - Journal of Business & Economic …, 1991 - Taylor & Francis
… We will obtain the shape of g independently from location and scale. … Write the loglikelihood
function as in (lo), replacing g by g. 4. Perform the maximization of the log-likelihood function …

Forecasting with interval and histogram data. Some financial applications

J Arroyo, G González-Rivera… - Handbook of empirical …, 2010 - api.taylorfrancis.com
… Both of these instances could be viewed from the perspective of symbolic data: in Zellner
and Tobias (2000) the data is an interval-valued time series and in González-Rivera, Lee, and …

Constrained regression for interval-valued data

G González-Rivera, W Lin - Journal of Business & Economic …, 2013 - Taylor & Francis
Current regression models for interval-valued data do not guarantee that the predicted lower
bound of the interval is always smaller than its upper bound. We propose a constrained …

Smoothing methods for histogram‐valued time series: an application to value‐at‐risk

J Arroyo, G GonzálezRivera, C Maté… - … Analysis and Data …, 2011 - Wiley Online Library
… However, we will proceed by analyzing the full histogram because, as González-Rivera
and Arroyo [[8]] have shown, there are prediction gains from carrying information on many …

Time series modeling of histogram-valued data: The daily histogram time series of S&P500 intradaily returns

G Gonzalez-Rivera, J Arroyo - International Journal of Forecasting, 2012 - Elsevier
G. González-Rivera acknowledges the financial support of the UCR University Scholar
award and the Academic Senate grants. J. Arroyo acknowledges the financial support of grant …

Testing for neglected nonlinearity in regression models based on the theory of random fields

CM Dahl, G González-Rivera - Journal of Econometrics, 2003 - Elsevier
… Evaluating the score function under the null of linearity H 0 : g =0 , keeping λ fixed, and Ω |
g =0 =σ 2 I T , we can write the score functions in vectorized form as(15) s(g i )| λ 2 , g =0 =− λ …

Efficiency comparisons of maximum-likelihood-based estimators in GARCH models

G González-Rivera, FC Drost - Journal of Econometrics, 1999 - Elsevier
… We consider two cases: (i) the density g of the errors is completely unknown and (ii) the
density g is known to be symmetric. In (ii) the tangent set contains only symmetric functions. In …