Measurement of extreme market risk: Insights from a comprehensive literature review

G Chakraborty, GR Chandrashekhar… - Cogent Economics & …, 2021 - Taylor & Francis
The experience of past financial market turmoil suggests that in addition to eroding investor
wealth, the severe consequences of rare extreme market events can spillover and impair the …

[PDF][PDF] Gaussian and non-Gaussian autoregressive time series models with rainfall data

S Kaur, M Rakshit - International Journal of Engineering and …, 2019 - researchgate.net
The Gaussian and non-Gaussian autoregressive models are used in this paper for
analyzing time series data. The autoregressive time series models with various distributions …

[PDF][PDF] Investment Modelling Using Value at Risk Bayesian Mixture Modelling Approach and Backtesting to Assess Stock Risk

B Miftahurrohmah, C Wulandari… - Journal of Information …, 2021 - academia.edu
Background: Stock investment has been gaining momentum in the past years due to the
development of technology. During the pandemic lockdown, people have invested more …

Risk analysis of stock investment using the value at risk methods with the Bayesian normal mixture approach

S Inayati, S Sahid, R Kusumawati - AIP Conference Proceedings, 2022 - pubs.aip.org
In a stock investment, the greater the desired profits, the greater risks will be implied. The big
changes in the stock market prices encourage us to measure the financial risks. The value at …

[PDF][PDF] Bayesian mixture Laplace autoregressive modeling to estimate value-at-risk in e-commerce stocks

B Miftahurrohmah, YS Dharmawan… - … International Journal of …, 2020 - academia.edu
The e-commerce business is growing in Indonesia. However, there are not many e-
commerce companies that trade their shares on the Exchange. Since the emergence of …

[引用][C] Analisis Risiko Investasi Saham Tunggal Syariah dengan Value at Risk (VaR) Menggunakan Simulasi Monte Carlo

A Humayrah, DP Sari - Journal of Mathematics UNP, 2023