This paper investigates the volatility of daily returns on Romanian stock market between January 2020 and April 2021. Volatility is analyzed by means representative index for Bucharest Stock Exchange (BSE), namely, Trading (BET) index, along with twelve companies traded BSE. The quantitative investigation was performed using GARCH approach. In survey, model (1,1) applied to explore BET BSE shar...

Nowadays many researchers use GARCH models to generate volatility forecasts. However, it is well known that volatility persistence, as indicated by the sum of the two parameters G1 and A1[1], in GARCH models is usually too high. Since volatility forecasts in GARCH models are based on these two parameters, this may lead to poor volatility forecasts. It has long been argued that this high persist...

The volatility dynamics of foreign exchanges have been the focus of research since Bollerslev’s (1986) seminal work on the generalized autoregressive conditional heteroscedasticity (GARCH) modelling. Several well-established empirical regularities may be highlighted as follows: [a] evidence of volatility clustering is detected in the exchange rates returns; [b] asymmetric effects in exchange ra...

this research analyze the resource and structure of cross-autocorrelation in returns and volatility of stocks that listed in the tehran stock exchange during the period farvardin 1382–eisfand 1386, with employing the garch model. at the first, the results show that, in down(bear) market, return on high trading volume portfolio lead return on low trading volume portfolio, when controlled for fir...

Study of volatility has been considered by the academics and decision makers dur-ing two last decades. First since the volatility has been a risk criterion it has been used by many decision makers and activists in capital market. Over the years it has been of more importance because of the effect of volatility on economy and capital markets stability for stocks, bonds, and foreign exchange mark...

Supply chain companies are one of the most important elements of the economy of each country. These companies play an important role in the expansion and activities of other companies through the provision of capital, customers, credit and even raw materials and technology. Therefore, the main goal of this research was to examine the impact of contagion of return and volatility in the return of...

We are interested in the parametric class of Bilinear GARCH (BL-GARCH) models which are capable of simultaneously capturing the well known properties of financial retrun series, volatility clustering and leverage effects. Specifically, as it is often observed that the distribution of many financial time series data has heavy tails, heavier than the Normal distribution, we examine, in this paper...

oil-exporting economies largely dependent on oil revenues and oil income fluctuation are one of the most important factors that influence sectors of the economy specially the stock market. this paper investigate the relationship between oil markets and stock return volatility and transmission in a selection of opec countries, using a multivariate garch models (full-vech) over the period may 201...