Liquidity Spectrum: Unraveling Theoretical Frameworks and Leveraging Modeling Algorithms for In-Depth Insights into Overall and Relative Liquidity Risk Dynamics

Mazin A. M. Al Janabi ()
Additional contact information
Mazin A. M. Al Janabi: Calle Maranon 16

Chapter Chapter 7 in Liquidity Dynamics and Risk Modeling, 2024, pp 453-538 from Springer

Abstract: Abstract This chapter critically examines the assessment of trading risk under illiquid market conditions, a crucial consideration for financial institutions striving to meet regulatory requirements such as those outlined in the Basel capital adequacy accords. With a specific focus on emerging financial markets, the chapter aims to look into the intricacies of asset liquidity risk and its implications for portfolio management. The primary objective is to derive Liquidity-Adjusted Value-at-Risk (L-VaR) estimates for a range of equity portfolios, recognizing the increasing importance of such risk measures in contemporary financial landscapes. To achieve this, the chapter adopts a comprehensive approach, integrating three distinct asset liquidity models within a multivariate framework. In addition to these models, the chapter employs the GARCH-M (1,1) method to estimate expected returns and conditional volatility, providing a nuanced understanding of risk dynamics under various market conditions. Through rigorous analysis of more than six years of daily return data from emerging Gulf Cooperation Council (GCC) stock markets, the study uncovers notable insights. Among the key findings is the critical influence of the selected internal liquidity model on L-VaR statistics, particularly evident in scenarios involving short-sales of stocks and extreme correlation factors among trading assets. The chapter highlights the significance of accounting for extreme correlations, especially when correlations exhibit significant fluctuations or approach unity. By offering real-world asset allocation tactics tailored for portfolios operating in adverse market conditions, the chapter addresses a notable gap in risk management literature. Through its exploration of L-VaR estimation techniques and their implications for portfolio risk management, this study provides valuable insights for practitioners navigating the complexities of contemporary financial markets.

Keywords: Asset allocation; Al Janabi model; Coherent (optimal) portfolios; Crisis; Economic capital; Efficient (Optimum) portfolios; Emerging markets; Financial risk management; GARCH-M (1; 1) model; Gulf Cooperation Council (GCC) Financial Markets; Liquidity; Liquidity risk; Liquidity-Adjusted Value-at-Risk (L-VaR); Market risk; Portfolio management; Value-at-Risk (VaR) (search for similar items in EconPapers)
Date: 2024
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:sprchp:978-3-031-71503-7_7

Ordering information: This item can be ordered from
http://www.springer.com/9783031715037

DOI: 10.1007/978-3-031-71503-7_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().