articleReview of Financial StudiesFeb 28, 2008Closed access

The Spline-GARCH Model for Low-Frequency Volatility and Its Global Macroeconomic Causes

New York University

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Abstract

Twenty-five years of volatility research has left the macroeconomic environment playing a minor role. This paper proposes modeling equity volatilities as a combination of macro- economic effects and time series dynamics. High-frequency return volatility is specified to be the product of a slow-moving component, represented by an exponential spline, and a unit GARCH. This slow-moving component is the low-frequency volatility, which in this model coincides with the unconditional volatility. This component is estimated for nearly 50 countries over various sample periods of daily data. Low-frequency volatility is then modeled as a function of macroeconomic and financial variables in an unbalanced panel with a…

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Topics & keywords

Keywords
  • Economics
  • Volatility (finance)
  • Autoregressive conditional heteroskedasticity
  • Econometrics
UN Sustainable Development Goals
  • Decent work and economic growth
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