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New volatility models under a Bayesian perspective : a case study

Cuervo, Edilberto Cepeda; Achcar, Jorge Alberto; … - In: Economia aplicada : EA 18 (2014) 2, pp. 179-197

Persistent link: https://www.econbiz.de/10011449738

Importance sampling from posterior distributions using copula-like approximations

Dellaportas, Petros; Tsionas, Efthymios G. - In: Journal of econometrics 210 (2019) 1, pp. 45-57

Persistent link: https://www.econbiz.de/10012303370

Asymmetries in Volatility : an empirical study for the Peruvian stock and Forex markets

Alanya, Willy; Rodriguez, Gabriel - In: Review of Pacific Basin financial markets and policies 22 (2019) 1, pp. 1950003-1-1950003-18

Persistent link: https://www.econbiz.de/10012156142

Monetary policy credibility and macrodynamics : evidence from Ghana

Akosah, Nana Kwame; Acquaye, Ivy K.; Loloh, Francis White - In: Applied economics letters 24 (2017) 21, pp. 1567-1574

Persistent link: https://www.econbiz.de/10011853488

Day-of-the-week effect: Petroleum and petroleum products

Meek, Andrew C.; Hoelscher, Seth A. - In: Cogent Economics & Finance 11 (2023) 1, pp. 1-19

This study tests for calendar anomalies in returns for petroleum and petroleum products via the futures market, specifically, the day-of-the-week (DOW) effect. The energy future contracts in this study are the WTI (West Texas Intermediate), Brent, RBOB (Reformulated Blendstock for Oxygenate...

Persistent link: https://www.econbiz.de/10015074702

Data Analysis for Risk Management – Economics, Finance and Business

Jajuga, Krzysztof (contributor); … - 2024

This reprint concerns methods of data analysis for risk management in economics, finance, and business. The presented papers contain research on data analysis methods, including classical statistical methods, and machine learning methods that have emerged from statistics and are being...

Persistent link: https://www.econbiz.de/10015324884

COVID-19 pandemic & financial market volatility: Evidence from GARCH models

Khan, Maaz; Kayani, Umar Nawaz; Khan, Mrestyal; Mughal, … - In: Journal of Risk and Financial Management 16 (2023) 1, pp. 1-20

-19 pandemic. We applied the GARCH (1, 1), GJR-GARCH (1, 1), and EGARCH (1, 1) econometric models on the daily time series … and for the whole period, each GARCH family evenly models the volatile behavior of the six financial markets. This study …

Persistent link: https://www.econbiz.de/10014332825

Testing volatility in Nigeria stock market using GARCH models

Atoi, Ngozi V. - In: CBN Journal of Applied Statistics 05 (2014) 2, pp. 65-93

validate this result. The last twenty eight days out-of-sample forecast adjudged Power-GARCH (1, 1, 1) in student's t error …

Persistent link: https://www.econbiz.de/10011518789

Reactions of stock market to monetary policy shocks during the global financial crisis: The Nigerian case

Aliyu, Shehu U. R. - In: CBN Journal of Applied Statistics 03 (2012) 1, pp. 17-41

GARCH by developed Engle and Bollerslev (1986) and EGARCH by Nelson (1991) methodologies, the paper empirically assessed the …

Persistent link: https://www.econbiz.de/10011482568

Improving Value-at-Risk estimation from the normal EGARCH model

Gorji, Mahsa; Sajjad, Rasoul - In: Contemporary Economics 11 (2017) 1, pp. 91-106

-correction method can improve the n-GARCH and n-EGARCH VaR forecasts so much that the acquired VaR predictions are different from the … distribution instead of GARCH improves the performance of the bias-correction method in forecasting the VaR for almost all …

Persistent link: https://www.econbiz.de/10011659907