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Forecasting exchange rate volatility : GARCH models versus implied volatility forecasts

Pilbeam, Keith; Langeland, Kjell Noralf - In: International economics and economic policy : IEEP 12 (2015) 1, pp. 127-142

Persistent link: https://www.econbiz.de/10011375830

Modelling energy spot prices : empirical evidence from NYMEX

Nomikos, Nikos K.; Andriosopoulos, Kostas - In: Energy economics 34 (2012) 4, pp. 1153-1169

Persistent link: https://www.econbiz.de/10009688111

Modelling the volatility of the Dow Jones Islamic Market World Index using a fractionally integrated time-varying GARCH (FITVGARCH) model

Nasr, Adnen Ben; Ajmi, Ahdi Noomen; Gupta, Rangan - In: Applied financial economics 24 (2014) 13/15, pp. 993-1004

Persistent link: https://www.econbiz.de/10010415355

Discussions on the Zero-drift GARCH model : evidence from an Markov regime-switching extension

Feng, Lingbing; Fu, Tong; Shi, Yanlin; Wang, Zili - In: Finance research letters 40 (2021), pp. 1-8

Persistent link: https://www.econbiz.de/10012819431

FX market volatility modelling : can we use low-frequency data?

Lyócsa, Štefan; Plíhal, Tomáš; Výrost, Tomáš - In: Finance research letters 40 (2021), pp. 1-16

Persistent link: https://www.econbiz.de/10012820071

Long memory or regime switching in volatility? : evidence from high-frequency returns on the U.S. stock indices

Gao, Guangyuan; Ho, Kin-Yip; Shi, Yanlin - In: Pacific-Basin finance journal 61 (2020), pp. 1-20

Persistent link: https://www.econbiz.de/10012494892

Pricing efficiency in CNX Nifty Index options using the Black-Scholes model : a comparative study of alternate volatility measures

Nandan, Tanuj; Agrawal, Puja - In: Margin: the journal of applied economic research 10 (2016) 2, pp. 281-304

Persistent link: https://www.econbiz.de/10011690833

Sudden changes in crude oil price volatility : an application of extreme value volatility estimator

Kumar, Dilip - In: American journal of finance and accounting 4 (2015/2016) 3/4, pp. 215-234

Persistent link: https://www.econbiz.de/10011713524

Modeling high-frequency financial data using R and Stan : a bayesian autoregressive conditional duration approach

Tabash, Mosab I.; Navas, T. Muhammed; Thayyib, P. V.; … - In: Journal of open innovation : technology, market, and … 10 (2024) 2, pp. 1-16

In econometrics, Autoregressive Conditional Duration (ACD) models use high-frequency economic or financial duration data, which mostly exhibit irregular time intervals. The ACD model is widely used to examine the duration of transaction volume and duration of price variations in stock markets....

Persistent link: https://www.econbiz.de/10014581582

Revisiting the auto-regressive integrated moving average approach to modelling volatility using Bahrain all share index daily returns

Doblas, Mark P.; Natarajan, Vinodh Kesavaraj; Sankar, … - In: Middle East journal of management : MEJM 10 (2023) 6, pp. 619-636

Persistent link: https://www.econbiz.de/10014424552