Probabilistic fuzzy systems in value‐at‐risk estimation

RJ Almeida, U Kaymak - Intelligent Systems in Accounting …, 2009 - Wiley Online Library
Abstract Value‐at‐risk (VaR) is a popular measure for quantifying the market risk that a
financial institution faces into a single number. Owing to the complexity of financial markets …

Risk reporting incentives: a cross-country study

TMF Elshandidy - 2011 - dspace.stir.ac.uk
The current study aims to investigate empirically the main incentives for mandatory and
voluntary risk reporting (MRR and VRR) across the USA, the UK and Germany, each of …

[PDF][PDF] Backtesting Value at Risk Forecast: the Case of Kupiec Pof-Test

S Halilbegovic, M Vehabovic - European Journal of Economic …, 2016 - researchgate.net
In recent years many concepts for managing and measuring risk have been developed. The
main methodology for managing risk is a method of value at risk, which, in practice, is …

Leveraging Return Prediction Approaches for Improved Value-at-Risk Estimation

F Bagheri, D Reforgiato Recupero, E Sirnes - Data, 2023 - mdpi.com
Value at risk is a statistic used to anticipate the largest possible losses over a specific time
frame and within some level of confidence, usually 95% or 99%. For risk management and …

Are VaR models effective in capturing downside risk in alternative investment funds? Insights from a cross-country study

A Panda, SG Deb - International Journal of Financial Engineering, 2024 - World Scientific
In this paper, we analyze the downside risk of alternative investment funds (AIFs) in a cross-
country setting over a period of 2015–2021, using popular Value-at-Risk (VaR henceforth) …

[PDF][PDF] Portfolio optimisation using value at risk

V Kaura - Imperial College London, London, 2005 - actuaries.ie
Optimal portfolios are normally computed using the portfolio risk measured in terms of its
variance. However, performance risk is a problem if the portfolio does not perform well. This …

A VaR-based downside risk analysis of Indian equity mutual funds in the pre-and post-global financial crisis periods

SG Deb - Journal of Emerging Market Finance, 2019 - journals.sagepub.com
This article analyses downside risk of Indian equity mutual funds from 1999 to 2014 using a
value at risk (VaR)-based approach. We use weekly return data of a sample of 349 equity …

Value-at-risk estimation by using probabilistic fuzzy systems

D Xu, U Kaymak - … Conference on Fuzzy Systems (IEEE World …, 2008 - ieeexplore.ieee.org
Value at Risk (VaR) measures the worst expected loss of a portfolio over a given horizon at
a given confidence level. It summarises the financial risk a company faces into one single …

A multi-covariate semi-parametric conditional volatility model using probabilistic fuzzy systems

RJ Almeida, N Basturk, U Kaymak… - 2012 IEEE Conference …, 2012 - ieeexplore.ieee.org
Value at Risk (VaR) has been successfully estimated using single covariate probabilistic
fuzzy systems (PFS), a method which combines a linguistic description of the system …

Value-at-Risk (VAR) Estimation Methods: Empirical Analysis based on BRICS Markets

A Ben Salem, I Safer, I Khefacha - 2022 - mpra.ub.uni-muenchen.de
The purpose of this paper is to investigate some statistical methods to estimate the value-at-
Risk (VaR) for stock returns in the BRICS countries for the period between 2011 to 2018 …