Leverage Effect for Volatility with Generalized Laplace Error
-
Farrukh Javed
and
Krzysztof Podgórski
Abstract
We propose a new model that accounts for the asymmetric response of volatility to positive (`good news') and negative (`bad news') shocks in economic time series – the so-called leverage effect. In the past, asymmetric powers of errors in the conditionally heteroskedastic models have been used to capture this effect. Our model is using the gamma difference representation of the generalized Laplace distributions that efficiently models the asymmetry. It has one additional natural parameter, the shape, that is used instead of power in the asymmetric power models to capture the strength of a long-lasting effect of shocks. Some fundamental properties of the model are provided including the formula for covariances and an explicit form for the conditional distribution of `bad' and `good' news processes given the past – the property that is important for statistical fitting of the model. Relevant features of volatility models are illustrated using S&P 500 historical data.
Funding source: Riksbankens Jubileumsfond
Award Identifier / Grant number: P13-1024:1
Funding source: Swedish Research Council
Award Identifier / Grant number: 2013-5180
© 2015 by De Gruyter
Articles in the same Issue
- Frontmatter
- Proceedings of Flint International Statistics Conference Kettering University, June 24–28, 2014
- Urban Planning for Change: Data and Projections in City of Flint Master Plans (1920, 1960 & 2013)
- More Equal and Poorer, or Richer but More Unequal?
- How We Can Evaluate the Inequality in Flint
- Comparing Data Envelopment Analysis and Human Decision Making Unit Rankings: A Survey Approach
- Discrete Pareto Distributions
- Leverage Effect for Volatility with Generalized Laplace Error
Articles in the same Issue
- Frontmatter
- Proceedings of Flint International Statistics Conference Kettering University, June 24–28, 2014
- Urban Planning for Change: Data and Projections in City of Flint Master Plans (1920, 1960 & 2013)
- More Equal and Poorer, or Richer but More Unequal?
- How We Can Evaluate the Inequality in Flint
- Comparing Data Envelopment Analysis and Human Decision Making Unit Rankings: A Survey Approach
- Discrete Pareto Distributions
- Leverage Effect for Volatility with Generalized Laplace Error
