Stochastic receding horizon control for short-term risk management in foreign exchange

Philip Leong, Farzad Noorian and Barry Flower

Journal of Risk

Abstract: ABSTRACT Foreign exchange (FX) dealers are exposed to currency risk through both market and counterparty activities. Research in FX risk management has mainly focused on long-term risks, yet trading costs associated with long-term strategies make them undesirable for short-term risk hedging. In this paper, a short-term risk management system for FX dealers is described, in which the optimal risk-cost profiles are obtained through dynamic control of the dealer's positions on the spot market. This approach is formulated as a stochastic receding horizon control (SRHC) problem, incorporating elements that model client flow, transaction cost, market impact, exchange rate volatility and fluctuations caused by macroeconomic announcements. The proposed technique is backtested using both synthetic and historical client trade data. The results obtained outperform three benchmark hedging strategies on a risk-cost Pareto frontier, achieving up to a 47.6% cost improvement over benchmark strategies. A flexible scenario generation oracle is also introduced and used to quantify the effects of predictive model quality on risk management.

References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.risk.net/journal-of-risk/2457231/stoch ... -in-foreign-exchange (text/html)

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:rsk:journ4:2457231

Access Statistics for this article

More articles in Journal of Risk from Journal of Risk
Bibliographic data for series maintained by Thomas Paine ().