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The three most popular univariate conditional volatility models are the generalized autoregressive conditional heteroskedasticity (GARCH) model of Engle (1982) and Bollerslev (1986), the GJR (or threshold GARCH) model of Glosten, Jagannathan and Runkle (1992), and the exponential GARCH (or...
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This study analyses the patent trends and volatilities for the top 12 foreign patenting countries in the US market from 1975 to 1997. Japan is ranked first in terms of foreign patents registered in the USA, followed by Germany. Patent registrations from each of these countries have increased...
Persistent link: https://www.econbiz.de/10005511369
The t-test of an individual coefficient is used widely in models of qualitative choice. However, it is well known that the t-test can yield misleading results when the sample size is small. This paper provides some experimental evidence on the finite sample properties of the t-test in models...
Persistent link: https://www.econbiz.de/10005511930
This article reviews the exciting and rapidly expanding literature on realized volatility. After presenting a general univariate framework for estimating realized volatilities, a simple discrete time model is presented in order to motivate the main results. A continuous time specification...
Persistent link: https://www.econbiz.de/10005511988
The increasing diversity of average growth rates and income levels across countries has generated a large literature on testing the income convergence hypothesis. Most countries in South-East Asia, particularly the five founding ASEAN member countries (ASEAN-5), have experienced substantial...
Persistent link: https://www.econbiz.de/10005475464
Various univariate and multivariate models of volatility have been used to evaluate market risk, asymmetric shocks, thresholds, leverage effects, and Value-at-Risk in economics and finance. This article is concerned with market risk, and develops a constant conditional correlation vector...
Persistent link: https://www.econbiz.de/10005476150
The London Metal Exchange (LME) is the most important centre for spot and futures trading in the main industrially-used non-ferrous metals. In this study, data on 3-month futures contracts for aluminium, aluminium alloy, copper, lead, nickel, tin, and zinc are analysed. The risk premium...
Persistent link: https://www.econbiz.de/10005485169