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A non-parametric approach of heteroskedasticity robust estimation of Vector-Autoregressive (VAR) models

Grobys, Klaus - In: Journal of finance and investment analysis 1 (2012) 1, pp. 55-67

This contribution studies the application of heteroskedasticity robust estimation of Vector-Autoregressive (VAR) models … ; heteroskedasticity robust estimation ; non-parametric approach ; stock market data …

Persistent link: https://www.econbiz.de/10009511728

Characteristic-sorted portfolios : estimation and inference

Cattaneo, Matias D.; Crump, Richard K.; Farrell, Max H.; … - 2016

Portfolio sorting is ubiquitous in the empirical finance literature, where it has been widely used to identify pricing anomalies in different asset classes. Despite the popularity of portfolio sorting, little attention has been paid to the statistical properties of the procedure or to the...

Persistent link: https://www.econbiz.de/10011523775

Data-driven jump detection thresholds for application in jump regressions

Davies, Robert; Tauchen, George Eugene - 2015

This paper develops a method to select the threshold in threshold-based jump detection methods. The method is motivated by an analysis of threshold-based jump detection methods in the context of jump-diffusion models. We show that over the range of sampling frequencies a researcher is most...

Persistent link: https://www.econbiz.de/10011524214

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

Volatility behavior of asset returns based on robust volatility ratio : empirical analysis on global stock indices

Shaik, Muneer; Maheswaran, S. - In: Cogent economics & finance 7 (2019) 1, pp. 1-27

In this paper we come up with an alternate theoretical proof for the independence and unbiased property of extreme value robust volatility estimator with respect to the standard robust volatility estimator as proposed in the paper by Muneer & Maheswaran (2018b). We show that the robust...

Persistent link: https://www.econbiz.de/10012023869

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 … microstructure noise has an adverse effect on both spot variance estimation and jump detection. In our approach we can analyze high …

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

Efficient Estimation of Expected Stock Price Returns

Madan, Dilip B. - 2017

density estimation have significantly lower standard errors when compared to estimates derived via the usual method of …

Persistent link: https://www.econbiz.de/10012966101

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

Estimating Turkish stock market returns with APT model : cointegration and vector error correction

Alp, Ozge Sezgin; Gökgöz, Fazıl; Küçükkocaoğlu, … - In: Economic review : journal of economics & business 14 (2016) 1, pp. 7-19

, Arbitrage Pricing Theory (APT), developed by Ross (1976), describes the expected returns on any financial asset with respect to …

Persistent link: https://www.econbiz.de/10012012458

Predicting volatility of bitcoin returns with ARCH, GARCH and EGARCH models

Yildirim, Hakan; Bekun, Festus Victor - In: Future Business Journal 9 (2023), pp. 1-8

The ınvestment decisions of institutional and individual investors in financial markets are largely influenced by market uncertainty and volatility of the investment instruments. Thus, the prediction of the uncertainty and volatilities of the prices and returns of the investment instruments...

Persistent link: https://www.econbiz.de/10014382180

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