نتایج جستجو برای: gcc jel classification c22

تعداد نتایج: 506145  

2014
J. Isaac Miller

I propose two simple variable addition test statistics for three tests of the specification of high-frequency predictors in a model to forecast a series observed at a lower frequency. The first is similar to existing test statistics and I show that it is robust to biased forecasts, integrated and cointegrated predictors, and deterministic trends, while it is feasible and consistent even if esti...

2014
Ye Lu Joon Y. Park Don Andrews Yoosoon Chang Jihyun Kim Barbara Rossi

This paper develops the methodology and asymptotic theory for the estimation of longrun variance of continuous time process. We analyze the asymptotic bias and variance of the longrun variance estimator in continuous time, and provide the optimal bandwidth balancing them o↵ and minimizing the asymptotic mean squared error. In the paper, we present not only how to consistently estimate the longr...

2001
Kenneth Chan Steve Ching Michael Devereux Chander Kant Simon Kwan Guy Meredith Matthew Yiu Yin-Wong Cheung

Advanced statistical techniques are used to analyze Hong Kong output dynamics. Hong Kong, Japan and the U.S. are found to share some common long-term and short-term cyclical variations. While the Hong Kong economy is susceptible to external shocks and Granger-caused by the other two economies, local factors account for a large proportion of output growth variability and are mainly responsible f...

2000
Tim Bollerslev Jun Cai Frank M. Song

In this paper, we provide a detailed characterization of the return volatility in US Treasury bond futures contracts using a sample of 5-min returns from 1994 to 1997. We find that public information in the form of regularly scheduled macroeconomic announcements is an important source of volatility at the intraday level. Among the various announcements, we identify the Humphrey–Hawkins testimon...

1997
Chihwa Kao

In the first half of the paper I study spurious regressions in panel data. Asymptotic properties of the least-squares dummy variable (LSDV) estimator and other conventional statistics are examined. The asymptotics of LSDV estimator are different from those of the spurious regression in the pure time-series. This has an important consequence for residual-based cointegration tests in panel data, ...

2009
Saeid Mahdavi

We tested the validity of the “Law of Increasing State Activities” or Wagner’s Law using time series for the U.S. state-local government (SLG) real expenditure over the period 1957-2006. This period was characterized by rising SLG total expenditure and several of its sub-categories both in absolute terms and relative to state personal income. Cointegration tests of Johansen (1991) and Pesaran, ...

2005
Jörg Breitung M. Hashem Pesaran

This paper provides a review of the literature on unit roots and cointegration in panels where the time dimension (T ), and the cross section dimension (N) are relatively large. It distinguishes between the first generation tests developed on the assumption of the cross section independence, and the second generation tests that allow, in a variety of forms and degrees, the dependence that might...

2012
Jian Hua Sebastiano Manzan

The aim of this paper is to forecast (out-of-sample) the distribution of financial returns based on realized volatility measures constructed from high-frequency returns. We adopt a semi-parametric model for the distribution by assuming that the return quantiles depend on the realized measures and evaluate the distribution, quantile and interval forecasts of the quantile model in comparison to a...

2015
Gregory Dempster Justin Isaacs Narin Smith

We empirically investigate the degree of integration that existed prior to the cost increases that caused emergency conditions in the Western Systems Coordinating Council (WSCC), particularly California, during the summer of 2000. Evidence from Granger causality tests and common features analysis over the period from December 1994 to September 1999 indicates a moderate degree of integration amo...

2002
Christian M. Dahl Gloria González-Rivera

Within a flexible regression model (Hamilton, 2001) we offer a battery of new Lagrange multiplier statistics that circumvent the problem of unidentified nuisance parameters under the null hypothesis of linearity and that are robust to the specification of the covariance function that defines the random field. These advantages are the result of (i) switching from the L2 to the L1 norm; and (ii) ...

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