Similar Search Results

Reduced rank regression models in economics and finance

Cubadda, Gianluca; Hecq, Alain W. J. - 2021

Persistent link: https://www.econbiz.de/10013257759

COVID-19 pandemic and Romanian stock market volatility : a GARCH approach

Gherghina, Ștefan Cristian; Armeanu, Daniel Ștefan; … - In: Journal of risk and financial management : JRFM 14 (2021) 8, pp. 1-29

This paper investigates the volatility of daily returns on the Romanian stock market between January 2020 and April 2021. Volatility is analyzed by means of the representative index for Bucharest Stock Exchange (BSE), namely, the Bucharest Exchange Trading (BET) index, along with twelve...

Persistent link: https://www.econbiz.de/10012626337

Estimation of value-at-Risk on Romanian stock exchange using volatility forecasting models

Opreana, Claudiu Ilie - In: Expert journal of finance 1 (2013), pp. 4-18

Persistent link: https://www.econbiz.de/10011572395

Statistical properties of microstructure noise

Jacod, Jean; Li, Yingying; Zheng, Xinghua - In: Econometrica : journal of the Econometric Society, an … 85 (2017) 4, pp. 1133-1174

Persistent link: https://www.econbiz.de/10011791234

Crude oil market autocorrelation : evidence from multiscale quantile regression analysis

Sun, Jie; Zhao, Xiaojun; Xu, Chao - In: Energy economics 98 (2021), pp. 1-11

Persistent link: https://www.econbiz.de/10012822032

A hybrid model for forecasting realized volatility based on heterogeneous autoregressive model and support vector regression

Zhuo, Yue; Morimoto, Takayuki - In: Risks : open access journal 12 (2024) 1, pp. 1-16

In this study, we proposed two types of hybrid models based on the heterogeneous autoregressive (HAR) model and support vector regression (SVR) model to forecast realized volatility (RV). The first model is a residual-type model, where the RV is first predicted using the HAR model, and the...

Persistent link: https://www.econbiz.de/10014480965