Asset Market Liquidity Risk Management: A Generalized Theoretical Modeling Approach for Trading and Fund Management Portfolios

Al Janabi, Mazin A. M. (2009): Asset Market Liquidity Risk Management: A Generalized Theoretical Modeling Approach for Trading and Fund Management Portfolios.

Abstract

Asset market liquidity risk is a significant and perplexing subject and though the term market liquidity risk is used quite chronically in academic literature it lacks an unambiguous definition, let alone understanding of the proposed risk measures. To this end, this paper presents a review of contemporary thoughts and attempts vis-à-vis asset market/liquidity risk management. Furthermore, this research focuses on the theoretical aspects of asset liquidity risk and presents critically two reciprocal approaches to measuring market liquidity risk for individual trading securities, and discusses the problems that arise in attempting to quantify asset market liquidity risk at a portfolio level. This paper extends research literature related to the assessment of asset market/liquidity risk by providing a generalized theoretical modeling underpinning that handle, from the same perspective, market and liquidity risks jointly and integrate both risks into a portfolio setting without a commensurate increase of statistical postulations. As such, we argue that market and liquidity risk components are correlated in most cases and can be integrated into one single market/liquidity framework that consists of two interrelated sub-components. The first component is attributed to the impact of adverse price movements, while the second component focuses on the risk of variation in transactions costs due to bid-ask spreads and it attempts to measure the likelihood that it will cost more than expected to liquidate the asset position. We thereafter propose a concrete theoretical foundation and a new modeling framework that attempts to tackle the issue of market/liquidity risk at a portfolio level by combining two asset market/liquidity risk models. The first model is a re-engineered and robust liquidity horizon multiplier that can aid in producing realistic asset market liquidity losses during the unwinding period. The essence of the model is based on the concept of Liquidity-Adjusted Value-at-Risk (L-VaR) framework, and particularly from the perspective of trading portfolios that have both long and short trading positions. Conversely, the second model is related to the transactions cost of liquidation due to bid-ask spreads and includes an improved technique that tackles the issue of bid-ask spread volatility. As such, the model comprises a new approach to contemplating the impact of time-varying volatility of the bid-ask spread and its upshot on the overall asset market/liquidity risk.

• Item Type: MPRA Paper
• Language: English
• Keywords: Economic Capital; Emerging Markets; Financial Engineering; Financial Risk Management; Financial Markets; Liquidity Risk; Portfolio Management; Liquidity Adjusted Value at Risk
• Subjects: G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy ; Financial Risk and Risk Management ; Capital and Ownership Structure ; Value of Firms ; Goodwill

References

1. Al Janabi, M. A.M. (2008), “Integrating Liquidity Risk Factor into a Parametric Value at Risk Method”, Journal of Trading, summer issue, pp. 76-87.

2. Al Janabi, M. A. M. (2007), “On the Use of Value At Risk for Managing Foreign Exchange Exposure in Large Portfolios”, Journal of Risk Finance, Vol. 8, No. 3, pp. 260-287, 2007.

3. Al Janabi, M. A. M. (2005), “Trading Risk Management: Practical Applications to Emerging-Markets,” in Motamen-Samadian S. (Ed.), Risk Management in Emerging Markets, Palgrave/MacMillan, UK, pp.91-136.

4. Almgren, R. and Chriss, N. (1999), “Optimal Execution of Portfolio Transaction,” Working Paper, Department of Mathematics, The University of Chicago.

5. Angelidis, T. and Benos, A. (2006), “Liquidity adjusted Value-at-Risk Based on the Components of the Bid-Ask Spread,” Applied Financial Economics, Vol. 16, No. 11, pp. 835-851.

6. Bangia, A., Diebold, F., Schuermann, T. and Stroughair, J. (1999), “Modeling Liquidity Risk with Implications for Traditional Market Risk Measurement and Management,” Working Paper, The Wharton School, University of Pennsylvania.

7. Berkowitz, J. (2000), “Incorporating Liquidity Risk into VAR Models,” Working Paper, Graduate School of Management, University of California, Irvine.

8. Danielsson, J., and Zigrand, J-P. (2006), “On time-scaling of risk and the square-root-of-time rule,” Journal of Banking & Finance, Vol. 30, No. 10, pp. 2701-2713.

9. Dowd, K., Blake, D., and Cairns, A. (2004), “Long-Term Value at Risk,” The Journal of Risk Finance, Winter/Spring Issue, pp. 52-57.

10. Hisata, Y. and Yamai, Y. (2000), “Research Toward the Practical Application of Liquidity Risk Evaluation Methods,” Discussion Paper, Institute for Monetary and Economic Studies, Bank of Japan.

11. Jarrow, R. and Subramanian, A. (1997), “Mopping up Liquidity,” Risk, Vol. 10, No. 12, pp. 170-173.

12. Le Saout, E. (2002), “Incorporating Liquidity Risk in VaR Models,” Working Paper, Paris 1 University.

13. Madhavan, A., Richardson, M. and Roomans, M. (1997), “Why do security prices change? A transaction-level analysis of NYSE stocks,” Review of Financial Studies, Vol. 10, pp. 1035-¬1064.

14. Morgan Guaranty Trust Company (1994), “RiskMetrics-Technical Document,” New York: Morgan Guaranty Trust Company, Global Research.

15. Roy, S. (2004), “Liquidity Adjustment in VaR Model: Evidence from the Indian Debt Market, Reserve Bank of India Occasional Papers, Vol. 25, No. 1-3, pp.1-16.

16. Shamroukh, N. (2000), “Modeling Liquidity Risk in VaR Models,” Working Paper, Algorithmics UK.