BAYESIAN FORECASTING OF VALUE AT RISK AND EXPECTED SHORTFALL USING ADAPTIVE IMPORTANCE SAMPLING

Bachelor's

Saved in:
Bibliographic Details
Main Author: ANG CHUAN HUAT
Other Authors: MATHEMATICS
Published: 2021
Online Access:https://scholarbank.nus.edu.sg/handle/10635/204615
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-204615
record_format dspace
spelling sg-nus-scholar.10635-2046152021-10-28T01:19:17Z BAYESIAN FORECASTING OF VALUE AT RISK AND EXPECTED SHORTFALL USING ADAPTIVE IMPORTANCE SAMPLING ANG CHUAN HUAT MATHEMATICS LOU JIANN HUA Bachelor's BACHELOR OF SCIENCE (HONOURS) 2021-10-28T01:19:17Z 2021-10-28T01:19:17Z 2018 ANG CHUAN HUAT (2018). BAYESIAN FORECASTING OF VALUE AT RISK AND EXPECTED SHORTFALL USING ADAPTIVE IMPORTANCE SAMPLING. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/204615
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description Bachelor's
author2 MATHEMATICS
author_facet MATHEMATICS
ANG CHUAN HUAT
author ANG CHUAN HUAT
spellingShingle ANG CHUAN HUAT
BAYESIAN FORECASTING OF VALUE AT RISK AND EXPECTED SHORTFALL USING ADAPTIVE IMPORTANCE SAMPLING
author_sort ANG CHUAN HUAT
title BAYESIAN FORECASTING OF VALUE AT RISK AND EXPECTED SHORTFALL USING ADAPTIVE IMPORTANCE SAMPLING
title_short BAYESIAN FORECASTING OF VALUE AT RISK AND EXPECTED SHORTFALL USING ADAPTIVE IMPORTANCE SAMPLING
title_full BAYESIAN FORECASTING OF VALUE AT RISK AND EXPECTED SHORTFALL USING ADAPTIVE IMPORTANCE SAMPLING
title_fullStr BAYESIAN FORECASTING OF VALUE AT RISK AND EXPECTED SHORTFALL USING ADAPTIVE IMPORTANCE SAMPLING
title_full_unstemmed BAYESIAN FORECASTING OF VALUE AT RISK AND EXPECTED SHORTFALL USING ADAPTIVE IMPORTANCE SAMPLING
title_sort bayesian forecasting of value at risk and expected shortfall using adaptive importance sampling
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/204615
_version_ 1715201433326845952