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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

Long run returns predictability and volatility with moving averages

Chang, Chia-Lin; Ilomäki, Jukka; Laurila, Hannu; … - In: Risks : open access journal 6 (2018) 4, pp. 1-18

This paper examines how the size of the rolling window, and the frequency used in moving average (MA) trading strategies, affects financial performance when risk is measured. We use the MA rule for market timing, that is, for when to buy stocks and when to shift to the risk-free rate. The...

Persistent link: https://www.econbiz.de/10011906234

A Stochastic Volatility Model with Realized Measures for Option Pricing

Bormetti, Giacomo - 2019

Based on the fact that realized measures of volatility are affected by measurement errors, we introduce a new family of … discrete-time stochastic volatility models having two measurement equations relating both observed returns and realized … realized measures in inflating the latent volatility persistence - the crucial parameter in pricing Standard and Poor's 500 …

Persistent link: https://www.econbiz.de/10012903114

A one line derivation of DCC : application of a vector random coefficient moving average process

Hafner, Christian M.; McAleer, Michael - 2014 - Revised: July 2014

One of the most widely-used multivariate conditional volatility models is the dynamic conditional correlation (or DCC … rather than a dynamic conditional correlation model; (ii) provides the motivation, which is presently missing, for … standardization of the conditional covariance model to obtain the conditional correlation model; and (iii) shows that the appropriate …

Persistent link: https://www.econbiz.de/10010374571

Most efficient homogeneous volatility estimators

Saičev, Aleksandr I.; Sornette, Didier; Filimonov, Vladimir - 2009

We present a new theory of homogeneous volatility (and variance) estimators for arbitrary stochastic processes. The …

Persistent link: https://www.econbiz.de/10003971110

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