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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

Financial time series forecasting using empirical mode decomposition and support vector regression

Nava, Noemi; Di Matteo, Tiziana; Aste, Tomaso - In: Risks : open access journal 6 (2018) 1, pp. 1-21

We introduce a multistep-ahead forecasting methodology that combines empirical mode decomposition (EMD) and support vector regression (SVR). This methodology is based on the idea that the forecasting task is simplified by using as input for SVR the time series decomposed with EMD. The outcomes...

Persistent link: https://www.econbiz.de/10011811500

A hybrid model for forecasting realized volatility based on heterogeneous autoregressive model and support vector regression

Zhuo, Yue; Morimoto, Takayuki - In: Risks : open access journal 12 (2024) 1, pp. 1-16

In this study, we proposed two types of hybrid models based on the heterogeneous autoregressive (HAR) model and support vector regression (SVR) model to forecast realized volatility (RV). The first model is a residual-type model, where the RV is first predicted using the HAR model, and the...

Persistent link: https://www.econbiz.de/10014480965

An academic response to Basel 3.5

Embrechts, Paul; Puccetti, Giovanni; Rüschendorf, Ludger; … - In: Risks : open access journal 2 (2014) 1, pp. 25-48

Recent crises in the financial industry have shown weaknesses in the modeling of Risk-Weighted Assets (RWAs). Relatively minor model changes may lead to substantial changes in the RWA numbers. Similar problems are encountered in the Value-at-Risk (VaR)-aggregation of risks. In this article, we...

Persistent link: https://www.econbiz.de/10010338097

On exactitude in financial regulation : value-at-risk, expected shortfall, and expectiles

Chen, Jim - In: Risks : open access journal 6 (2018) 2, pp. 1-28

This article reviews two leading measures of financial risk and an emerging alternative. Embraced by the Basel accords, value-at-risk and expected shortfall are the leading measures of financial risk. Expectiles offset the weaknesses of value-at-risk (VaR) and expected shortfall. Indeed,...

Persistent link: https://www.econbiz.de/10011867427

The Quality of reserve risk calculation models under solvency II and IFRS 17

Arató, N. Miklós; Martinek, László - In: Risks : open access journal 10 (2022) 11, pp. 1-13

We analyse four stochastic claims reserving methods in terms of their capability to estimate reserve risk and how successful they are at predicting distributions and VaRs of claim developments in particular. Both actual data and hypothetical claim triangles support our results. The...

Persistent link: https://www.econbiz.de/10014225942

Multivariate spectral backtests of forecast distributions under unknown dependencies

Balter, Janine; McNeil, Alexander J. - In: Risks : open access journal 12 (2024) 1, pp. 1-15

Under the revised market risk framework of the Basel Committee on Banking Supervision, the model validation regime for internal models now requires that models capture the tail risk in profit-and-loss (P&L) distributions at the trading desk level. We develop multi-desk backtests, which...

Persistent link: https://www.econbiz.de/10014480976

Assessing asset-liability risk with neural networks

Cheridito, Patrick; Ery, John; Wüthrich, Mario V. - In: Risks : open access journal 8 (2020) 1/16, pp. 1-17

We introduce a neural network approach for assessing the risk of a portfolio of assets and liabilities over a given time period. This requires a conditional valuation of the portfolio given the state of the world at a later time, a problem that is particularly challenging if the portfolio...

Persistent link: https://www.econbiz.de/10012203982

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