A conceptual model of investment-risk prediction in the stock market using extreme value theory with machine learning: a semisystematic literature review

Melina, Sukono, H Napitupulu, N Mohamed - Risks, 2023 - mdpi.com
The COVID-19 pandemic has been an extraordinary event, the type of event that rarely
occurs but that has major impacts on the stock market. The pandemic has created high …

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

JM Chen - Risks, 2018 - mdpi.com
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 …

Market crises and Basel capital requirements: Could Basel III have been different? Evidence from Portugal, Ireland, Greece and Spain (PIGS)

AF Rossignolo, MD Fethi, M Shaban - Journal of Banking & Finance, 2013 - Elsevier
Basel III represents a crucial step in strengthening the capital rules underlying banking
operations, aimed at reducing the probability and severity of a systemic crisis. Alongside two …

Portfolio Value-at-Risk and expected-shortfall using an efficient simulation approach based on Gaussian Mixture Model

SMS Seyfi, A Sharifi, H Arian - Mathematics and Computers in Simulation, 2021 - Elsevier
Abstract Monte Carlo Approaches for calculating Value-at-Risk (VaR) are powerful tools
widely used by financial risk managers across the globe. However, they are time consuming …

Forecasting value-at-risk and expected shortfall using fractionally integrated models of conditional volatility: International evidence

S Degiannakis, C Floros, P Dent - International Review of Financial …, 2013 - Elsevier
The present study compares the performance of the long memory FIGARCH model, with that
of the short memory GARCH specification, in the forecasting of multi-period value-at-risk …

Value-at-risk estimates of the stock indices in developed and emerging markets including the spillover effects of currency market

JB Su - Economic Modelling, 2015 - Elsevier
This study derives the quantiles of the standardized generalized t (GT) in terms of a
nonlinear equation which contains a regularized incomplete beta function. Then the …

Expected shortfall model based on a neural network

S Doncic, N Pantic, M Lakicevic… - Journal of Risk Model …, 2022 - papers.ssrn.com
Considering both the limitations of traditional models of value-at-risk and expected shortfall
(ES) for risk estimation in the context of the Basel standards and the possibilities of applying …

[PDF][PDF] The new hybrid value at risk approach based on the extreme value theory

N Radivojevi, M Cvjetkovic, S Stepanovc - Estudios de economía, 2016 - redalyc.org
In this paper the authors introduce a new hybrid approach based on the Extreme Value
Theory (EVT) to joint estimation of Value at Risk (VaR) and Expected Shortfall (ES) for high …

How informative are variance risk premium and implied volatility for Value-at-Risk prediction? International evidence

S Slim, M Dahmene, A Boughrara - The Quarterly Review of Economics …, 2020 - Elsevier
The aim of this paper is to examine the information embedded in the implied volatility index
and the variance risk premium in terms of quantifying market risk for developed and …

Modelling and forecasting value at risk and expected shortfall for GCC stock markets: Do long memory, structural breaks, asymmetry, and fat-tails matter?

C Aloui, H ben Hamida - The North American journal of economics and …, 2014 - Elsevier
This paper addresses the question whether dual long memory (LM), asymmetry and
structural breaks in stock market returns matter when forecasting the value at risk (VaR) and …