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Keyword: volatility;

14 results found.

Econometrics Paper

Empirical likelihood for high frequency data

Lorenzo Camponovo, Yukitoshi Matsushita and Taisuke Otsu

With increasing availability of high frequency financial data as a background, various volatility measures and related statistical theory are developed in the recent literature. This paper introduces the method of empiri...Read more...

21 February 2017

Econometrics Paper

Nonparametric likelihood for volatility under high frequency data

Lorenzo Camponovo, Yukitoshi Matsushita and Taisuke Otsu

We propose a nonparametric likelihood inference method for the integrated volatility under high frequency financial data. The nonparametric likelihood statistic, which contains the conventional statistics such as empiric...Read more...

15 January 2015

Econometrics Paper

Inference about Realized Volatility using Infill Subsampling

Ilze Kalnina and Oliver Linton

We investigate the use of subsampling for conducting inference about the quadratic variation of a discretely observed diffusion process under an infill asymptotic scheme. We show that the usual subsampling method of Poli...Read more...

September 2007

Econometrics Paper

Fractional Cointegration In Stochastic Volatility Models

Afonso Gonçalves da Silva and Peter M Robinson

Asset returns are frequently assumed to be determined by one or more common factors. We consider a bivariate factor model, where the unobservable common factor and idiosyncratic errors are stationary and serially uncorre...Read more...

May 2007

Econometrics Paper

Estimating Quadratic Variation Consistently in the Presence of Correlated Measurement Error

Ilze Kalnina and Oliver Linton

We propose an econometric model that captures the e¤ects of market microstructure on a latent price process. In particular, we allow for correlation between the measurement error and the return process and we allow the m...Read more...

October 2006

Econometrics Paper

Finite Sample Performance in Cointegration Analysis of Nonlinear Time Series with Long Memory

Afonso Gonçalves da Silva and Peter M Robinson

Nonlinear functions of multivariate financial time series can exhibit long memory and fractional cointegration. However, tools for analysing these phenomena have principally been justified under assumptions that are inva...Read more...

April 2006

Econometrics Paper

Modelling Memory of Economic and Financial Time Series

Peter M Robinson

Much time series data are recorded on economic and financial variables. Statistical modelling of such data is now very well developed, and has applications in forecasting. We review a variety of statistical models from t...Read more...

March 2005

Econometrics Paper

A Local Instrumental Variable Estimation Method for Generalized Additive Volatility Models

Woocheol Kim and Oliver Linton

We investigate a new separable nonparametric model for time series, which includes many ARCH models and AR models already discussed in the literature. We also propose a new estimation procedure based on a localization of...Read more...

May 2003

Econometrics Paper

Estimating Semiparametric ARCH (8) Models by Kernel Smoothing Methods

Oliver Linton and Enno Mammen

We investigate a class of semiparametric ARCH(8) models that includes as a special case the partially nonparametric (PNP) model introduced by Engle and Ng (1993) and which allows for both flexible dynamics and flexible f...Read more...

May 2003

Econometrics Paper

The Memory of Stochastic Volatility Models

Peter M Robinson

A valid asymptotic expansion for the covariance of functions of multivariate normal vectors is applied to approximate autovariances of time series generated by nonlinear transformation of Gaussian latent variates, and no...Read more...

February 2001

Econometrics Paper

Gaussian Estimation of Long-Range Dependent Volatility in Asset Prices

Paolo Zaffaroni

Asset returns have a very complicated dynamic pattern. Yet they display regularity across different assets and periods. We consider a new family of volatility models which account for such patterns, focussing in particul...Read more...

May 1997

Econometrics Paper

Nonlinear Time Series with Long Memory: A Model for Stochastic Volatility - (Now published in 'Journal of Statistical Planning and Inference', 68 (1998), pp.359-371.)

Peter M Robinson and Paolo Zaffaroni

We introduce a nonlinear model of stochastic volatility within the class of ?product type? models. It allows different degrees of dependence for the ?raw? series and for the ?squared? series, for instance implying weak d...Read more...

January 1997

Econometrics Paper

Testing for a Slowly Changing Level with Special Reference to Stochastic Volatility - (Now published in 'Journal of Econometrics', 87 (1998), pp.167-189.)

Andrew C Harvey and Mariane Streibel

A test for the presence of a stationary first-order autoregressive process embedded in white noise is constructed so as to be relatively powerful when the autoregressive parameter is close to one. This is done by setting...Read more...

March 1996

Econometrics Paper

Quasi-Maximum Likelihood Estimation of Stochastic Variance Models

Esther Ruiz

Changes in variance or volatility over time can be modelled using stochastic volatility (SV) models. This approach is based on treating the variance as an unobservable variable, the logarithm of which is modelled as a li...Read more...

1992