Backtesting
W. Brent Lindquist,
Svetlozar T. Rachev,
Yuan Hu and
Abootaleb Shirvani
Additional contact information
W. Brent Lindquist: Texas Tech University
Svetlozar T. Rachev: Texas Tech University
Yuan Hu: University of California San Diego
Abootaleb Shirvani: Kean University
Chapter Chapter 8 in Advanced REIT Portfolio Optimization, 2022, pp 113-129 from Springer
Abstract:
Abstract Under regulatory guidelines, banks with substantial trading activity are required to set aside capital to insure against extreme portfolio loss. The size of the capital requirement is determined by the value-at-risk (VaR) of the portfolio. The VaR exposure is determined through a customary set of tests under a procedure referred to as backtesting. This is the subject of this chapter. Eight standard backtests are discussed and applied to historically optimized portfolios of Chaps. 4 and 5 and dynamically optimized portfolios of Chap. 7 . Dramatic improvement in the backtests is seen under dynamic optimization. However, improvements in optimization still must be combined with an active management approach incorporating risk-management techniques.
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:dymchp:978-3-031-15286-3_8
Ordering information: This item can be ordered from
http://www.springer.com/9783031152863
DOI: 10.1007/978-3-031-15286-3_8
Access Statistics for this chapter
More chapters in Dynamic Modeling and Econometrics in Economics and Finance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().