EconPapers    
Economics at your fingertips  
 

Application of Bayesian Inference in Value-at-Risk Forecasting with the Use of Conditionally Asymmetric and Fat-Tailed GARCH Models

Mateusz Pipień

Chapter 4 in FindEcon Monograph Series: Advances in Financial Market Analysis, 2006, vol. 2, pp 67-80 from University of Lodz

Abstract: Chapter 4 presents an application of the Bayesian inference in Value at Risk (VaR) prediction for PLN/USD exchange rate and the prediction of the minimal capital requirements for market risk. Using various testing procedures, the accuracy of the VaR estimates among models has been compared. In particular, it has been checked if the forecast quality of the capital charge for the market risk is sensitive to changes in sampling model.

Keywords: GARCH model; VaR method; Market risk; Bayesian inference (search for similar items in EconPapers)
JEL-codes: C01 E02 F00 G00 (search for similar items in EconPapers)
Date: 2006
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.repec.uni.lodz.pl/RePEc/files/findec/2006/2006_No_2_Ch_4.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to www.repec.uni.lodz.pl:443 (No such host is known. )

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ann:findec:book:y:2006:n:02:ch:04:mon

Access Statistics for this chapter

More chapters in FindEcon Chapters: Forecasting Financial Markets and Economic Decision-Making from University of Lodz Contact information at EDIRC.
Bibliographic data for series maintained by Piotr Wdowiński ().

 
Page updated 2025-03-23
Handle: RePEc:ann:findec:book:y:2006:n:02:ch:04:mon