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Volatility modeling and dependence structure of ESG and conventional investments

Górka, Joanna; Kuziak, Katarzyna - In: Risks : open access journal 10 (2022) 1, pp. 1-25

, it is important to model and quantify it. The conditional volatility models from the GARCH family and tail …

Persistent link: https://www.econbiz.de/10012805838

Modeling high frequency data with long memory and structural change : A-HYEGARCH model

Shi, Yanlin; Yang, Yang - In: Risks : open access journal 6 (2018) 2, pp. 1-28

In this paper, we propose an Adaptive Hyperbolic EGARCH (A-HYEGARCH) model to estimate the long memory of high frequency time series with potential structural breaks. Based on the original HYGARCH model, we use the logarithm transformation to ensure the positivity of conditional variance. The...

Persistent link: https://www.econbiz.de/10011811728

The impact of sovereign yield curve differentials on value-at-risk forecasts for foreign exchange rates

Fink, Holger Maria; Fuest, Andreas; Port, Henry - In: Risks : open access journal 6 (2018) 3, pp. 1-19

A functional ARMA-GARCH model for predicting the value-at-risk of the EURUSD exchange rate is introduced. The model … August 2005–30 September 2016. As a benchmark, we take an ARMA-GARCH and an ARMAX-GARCHX with the 2y-yield difference as the …

Persistent link: https://www.econbiz.de/10011890808

Empirical testing of models of autoregressive conditional heteroscedasticity used for prediction of the volatility of Bulgarian investment funds

Petrova, Mariana; Todorov, Teodor - In: Risks : open access journal 11 (2023) 11, pp. 1-30

investment decisions. The used risk attribution quantification models GARCH (1.1), EGARCH (1.1), GARCH-M (1.1) and TGARCH (1 … concentration of investment funds (in Bulgaria) through the testing of complex, analytical and specialized models from the GARCH … models GARCH, EGARCH, GARCH-M and TGARCH with specification (1.1). The research covers the net balance sheet value of forty …

Persistent link: https://www.econbiz.de/10014436423

Nonlinear modeling of mortality data and its implications for longevity bond pricing

Li, Huijing; Rui, Zhou; Ji, Min - In: Risks : open access journal 11 (2023) 12, pp. 1-25

Human mortality has been improving faster than expected over the past few decades. This unprecedented improvement has caused significant financial stress to pension plan sponsors and annuity providers. The widely recognized Lee-Carter model often assumes linearity in its period effect as an...

Persistent link: https://www.econbiz.de/10014446511

Forecasting bitcoin volatility using hybrid GARCH models with machine learning

Zahid, Mamoona; Iqbal, Farhat; Koutmos, Dimitrios - In: Risks : open access journal 10 (2022) 12, pp. 1-18

-stationary properties of Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models with the nonlinear modeling capabilities …

Persistent link: https://www.econbiz.de/10014230957