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Beta-Adjusted Covariance Estimation
Boudt, Kris; Dragun, Kirill; Sauri, Orimar; Vanduffel, … - 2021
The increase in trading frequency of Exchanged Traded Funds (ETFs) presents a positive externality for financial risk management when the price of the ETF is available at a higher frequency than the price of the component stocks. The positive spillover consists in improving the accuracy of...
Persistent link: https://www.econbiz.de/10013235022
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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
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Realized semicovariances : looking for signs of direction inside the covariance matrix
Bollerslev, Tim; Patton, Andrew J.; Quaedvlieg, Rogier - 2017 - This version: September 5, 2017
components and the mixed-sign component load differently on economic information concerning stochastic correlation and jumps. The …
Persistent link: https://www.econbiz.de/10012116691
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A penalized two-pass regression to predict stock returns with time-varying risk premia
Bakalli, Gaetan; Guerrier, Stéphane; Scaillet, Olivier - 2021
We develop a penalized two-pass regression with time-varying factor loadings. The penalization in the first pass enforces sparsity for the time-variation drivers while also maintaining compatibility with the no arbitrage restrictions by regularizing appropriate groups of coefficients. The second...
Persistent link: https://www.econbiz.de/10012487589
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Jump variation estimation with noisy high frequency financial data via wavelets
Zhang, Xin; Kim, Donggyu; Wang, Yazhen - In: Econometrics : open access journal 4 (2016) 3, pp. 1-26
This paper develops a method to improve the estimation of jump variation using high frequency data with the existence … of market microstructure noises. Accurate estimation of jump variation is in high demand, as it is an important component …-step procedure with detection and estimation. In Step 1, we detect the jump locations by performing wavelet transformation on the …
Persistent link: https://www.econbiz.de/10011568279
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Regular variation of popular GARCH processes allowing for distributional asymmetry
Prono, Todd - 2017 - First version: August 2017
Linear GARCH(1,1) and threshold GARCH(1,1) processes are established as regularly varying, meaning their heavy tails are Pareto like, under conditions that allow the innovations from the, respective, processes to be skewed. Skewness is considered a stylized fact for many financial returns...
Persistent link: https://www.econbiz.de/10011803123
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Asymmetries in conditional mean and variance : modelling stock returns by asMA-asQGARCH
Brännäs, Kurt; Gooijer, Jan G. de - 2000
The asymmetric moving average model (asMA) is extended to allow forasymmetric quadratic conditional heteroskedasticity (asQGARCH). Theasymmetric parametrization of the conditional variance encompassesthe quadratic GARCH model of Sentana (1995). We introduce a framework fortesting asymmetries in...
Persistent link: https://www.econbiz.de/10011303289
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Long memory dynamics for multivariate dependence under heavy tails
Janus, Paweł; Koopman, Siem Jan; Lucas, André - 2011
Persistent link: https://www.econbiz.de/10009720703
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Measuring Contemporaneous Correlation between Return Shock and Volatility Shock in an EGARCH Model
Yang, Minxian - 2011
measuring the contemporaneous correlation between the return shock and the volatility shock. We show that the contemporaneous … correlation can be quantified within an EGARCH model, where the composite disturbance to the return follows a normal log … the proposed model are analyzed. The estimation of the model with the SP500 excess return series lends a mild support for …
Persistent link: https://www.econbiz.de/10013133961
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Long/Short Equity Risk Premia Parity Portfolios via Implicit Factors in Regularized Covariance Regression
van Jaarsveldt, Cole; Peters, Gareth; Ames, Matthew; … - 2023
A time-series basis decomposition and trend extraction technique known as Empirical Mode Decomposition (EMD), designed for multi-scale time-frequency decomposition in non-stationary time-series settings, will be combined with Regularised Covariance Regression (RCR) methods to produce a framework...
Persistent link: https://www.econbiz.de/10014348857