Results 21 to 30 of about 1,203 (162)
Modelling Stock Indexes Volatility of Emerging Markets
This study aims to investigate the use of ARCH (autoregressive conditional heteroscedasticity) family models for forecasting volatility of four regional emerging stock markets i.e. KSE 100, BSE-SENSEX, DSE 20 and SSE Composite index.
Farhan Ahmed +2 more
doaj +1 more source
Using TGARCH, TGARCH-M, EGARCH, EGARCH-M, PGARCH and PGARCH-M models Gaussian and non-Gaussian for modeling (EUR/USD) and (GBP/USD) Exchange Rate [PDF]
This paper aims to study characteristics of exchange rate volatility of (EUR/USD) and (GBP/USD) using daily closing prices for two time periods, sub-period form (1 January 2015 until 15 may 2020) and full period from(1 January 2010 until 15 may 2020 ...
Abdullah, Suhail Najm
core +1 more source
Equity market volatility behavior in Sri Lankan context
Colombo Stock Exchange (CSE) in Sri Lanka is at its first level of emerging markets. Volatility of emerging markets are considered to be high and characterized by complex features.
P. S. Morawakage, P. D. Nimal
doaj +1 more source
This paper empirically compares the usefulness of information included in the volatility index (VIX) against several generalized autoregressive conditional heteroskedasticity (GARCH) models for predicting downside risk in the US stock market.
Chikashi Tsuji
doaj +1 more source
En este artículo se aplican las cópulas Clayton y Gumbel con el modelo TGARCH para la distribución marginal de los rendimientos con el objeto de describir la dependencia condicional en las colas entre el precio del petróleo y el índice del mercado de ...
Arturo Lorenzo Valdés +2 more
doaj +1 more source
The study is an attempt to investigate the impact of crude prices on energy crops; Soyabean, Wheat and Sugarcane for India for the period Jan 2016-Dec 2020.
Rakesh Shahani, Anishka Taneja
doaj +1 more source
Quantifying Long-Term Volatility for Developed Stock Markets: An Empirical Case Study Using PGARCH Model on Toronto Stock Exchange (TSX) [PDF]
High frequency data is a recent entrant to the world of statistics as they relate to the markets. This study measures the volatility of S& P / Toronto index by utilizing the GARCH family models (EGARCH, TGARCH, MGARCH and PGARCH models) using a daily ...
Meher Kumar BHARAT +4 more
doaj +1 more source
Bu çalışmanın amacı Engel ve Ng (1993) nin işaret ve boyut yanlılığı testleri ile belirlenen asimetrik etkileri dikkate alarak döviz kurlarında yaşanan oynaklığın modellenmesidir.
Hakan Demirgil +2 more
doaj +1 more source
Comparative Analysis of EGARCH and TGARCH Models in Stock Price Prediction [PDF]
Stocks are proof of the value of ownership of a company which are usually sold on the capital market, companies that buy and sell their shares will be easy to find with the existence of the stock market.
Dur, Sajaratud; Fakultas Sains dan Teknologi UIN Sumatera Utara +2 more
core +1 more source
Un modelo TGARCH con una distribución t de Student asimétrica y las hipotesis de racionalidad de los inversionistas bursátiles en Latinoamérica [PDF]
We propose an ARCH model of the TGARCH type with an asymmetric Student's t distribution. It is built using the methodology of Fernandez and Steel (1998) and the traditional TGARCH model developed by Zakoian (1994). The model is used to describe series of
Ruiz Porras, Antonio +5 more
core +2 more sources

