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Spot variance path estimation and its application to high frequency jump testing

Bos, Charles S.; Janus, Paweł; Koopman, Siem Jan - 2009

This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used...

Persistent link: https://www.econbiz.de/10011379469

Fractional integration and fat tails for realized covariance kernels and returns

Lucas, André; Opschoor, Anne - 2016 - This version: September 1, 2016

We introduce a new fractionally integrated model for covariance matrix dynamics based on the long-memory behavior of daily realized covariance matrix kernels and daily return observations. We account for fat tails in both types of data by appropriate distributional assumptions. The covariance...

Persistent link: https://www.econbiz.de/10011531139

What do professional forecasters actually predict?

Nibbering, Didier; Paap, Richard; Wel, Michel van der - 2015

In this paper we study what professional forecasters actually explain. We use spectral analysis and state space modeling to decompose economic time series into a trend, a business-cycle, and an irregular component. To examine which components are captured by professional forecasters we regress...

Persistent link: https://www.econbiz.de/10011305773

Quantifying time-varying forecast uncertainty and risk for the real price of oil

Aastveit, Knut Are; Cross, Jamie; Dijk, Herman K. van - 2021

We propose a novel and numerically efficient quantification approach to forecast uncertainty of the real price of oil …, estimation of time-varying forecast biases and facets of miscalibration of individual forecast densities and time-varying inter …-varying forecast uncertainty and risk for the real price of oil over the period 1974-2018. We show that the combination approach …

Persistent link: https://www.econbiz.de/10012545165

Quantifying Time-Varying Forecast Uncertainty and Risk for the Real Price of Oil

Aastveit, Knut Are; Cross, Jamie; Dijk, Herman K. van - 2021

Persistent link: https://www.econbiz.de/10012795319

Detecting serial dependence in tail events

Diks, Cees G. H. - 2002

A test for serial independence is proposed which is related to the BDS test but focuses on tail event probabilities rather than probabilities near the center of the distribution. The motivation behind this approach is to obtain a test more suitable for detecting structure in the tails, such as...

Persistent link: https://www.econbiz.de/10011327543

Realized Wishart-GARCH : a score-driven multi-Asset volatility model

Hansen, Peter Reinhard; Janus, Paweł; Koopman, Siem Jan - 2016

We propose a novel multivariate GARCH model that incorporates realized measures for the variance matrix of returns. The key novelty is the joint formulation of a multivariate dynamic model for outer-products of returns, realized variances and realized covariances. The updating of the variance...

Persistent link: https://www.econbiz.de/10011520881

Intraday stochastic volatility in discrete price changes : the dynamic Skellam model

Koopman, Siem Jan; Lit, Rutger; Lucas, André - 2015

We introduce a dynamic Skellam model that measures stochastic volatility from high-frequency tick-by-tick discrete stock price changes. The likelihood function for our model is analytically intractable and requires Monte Carlo integration methods for its numerical evaluation. The proposed...

Persistent link: https://www.econbiz.de/10011295740

Modeling and forecasting S&P 500 volatility : long memory, structural breaks and nonlinearity

Martens, Martin; Dijk, Dick van; Pooter, Michiel de - 2004

Persistent link: https://www.econbiz.de/10002128301

Detecting serial dependence in tail events : a test dual to the BDS test

Diks, Cees G. H. - 2002

Persistent link: https://www.econbiz.de/10001689451

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