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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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48 results for FX hedging

Develops optimal currency hedging strategy for fund managers considering liquidity risk.

problem Choosing optimal foreign exchange (FX) hedge tenors to maximize carry returns within liquidity constraints.
method Time-dispersing total hedge value into future time buckets, maximizing FX carry benefit while adhering to liquidity risk metric (CFaR).
result Hedging strategy operates within liquidity budget, demonstrating practical insights for fund managers.

This paper offers a framework for FX dealers to decide between internalizing and externalizing their market making to balance risk control and costs.

problem FX dealers face risk from flow uncertainty and need to decide on internalization vs. externalization strategies.
method Develops an optimal control framework that balances pricing and hedging strategies.
result Provides insights into the trade-off between risk control and transaction costs in market making.

This paper compares hedging strategies for pegged FX markets using a RS model.

problem Hedging performance in pegged foreign exchange markets.
method Regime switching model, Fourier approach for calibration, exact and approximated delta hedging.
result Approximated RS delta hedge is a viable alternative to the exact RS delta hedge and significantly faster.

AWARE-FX uses AI to audit foreign-exchange risk disclosures in corporate reports.

problem Weakly structured foreign-exchange risk disclosures in corporate reports.
method Combines lexicon, logic, encoders, and aggregation methods to convert text into traceable measures.
result FinBERT outperforms in most comparisons, improving F1 scores by up to 0.077.

This study improves credit risk management using advanced reinforcement learning.

problem Sub-optimal hedging of credit losses due to bid-ask costs and model limitations.
method Risk-averse stochastic-horizon reinforcement learning for dynamic risk management.
result Efficacy demonstrated through numerical study of a single FX forward contract portfolio.

This study examines how market makers balance risk and impact in foreign exchange markets.

problem Balancing risk management with market impact in foreign exchange markets.
method An intermediate scenario approach considering both instantaneous and permanent market impact components.
result Transient market impact is more prevalent than previously thought, challenging traditional market impact models.

Double no-touch options, contracts which pay out a fixed amount provided an underlying asset remains within a given interval, are commonly traded, particularly in FX markets. In this work, we establish model-free bounds on the price of these options based on the prices of more liquidly traded options (call and digital …

2009-01-06abs ↗pdf ↗

Proposes a new framework for invariant quadratic P&L predictions in option books.

problem Inconsistent second-order P&L predictions across different factor parameterizations.
method Local, model-agnostic framework using covariant Hessian defined by an affine connection.
result Coordinate-invariant quadratic P&L predictions that match desk targets.

A time series model for the FX dynamics is presented which takes into account structural peculiarities of the market, namely its heterogeneity and an information flow from long to short time horizons. The model emerges from an analogy between FX dynamics and hydrodynamic turbulence. The heterogeneity of the market is m…

2000-04-11abs ↗pdf ↗

In this note we discuss - in what is intended to be a pedagogical fashion - FX option pricing in target zones with attainable boundaries. The boundaries must be reflecting. The no-arbitrage requirement implies that the differential (foreign minus domestic) short-rate is not deterministic. When the band is narrow, we ca…

2015-12-04abs ↗pdf ↗

Paper extends Lévy models with memory to better price FX double barrier options.

problem Efficiently pricing double barrier options in complex FX models.
method Introduces regime-switching Lévy models with memory and a modified numerical method.
result New models and method improve accuracy of option pricing.

Paper proposes an efficient method for pricing FX options with stochastic volatility and interest rates.

problem Pricing foreign exchange options in a model with stochastic interest rates and volatility.
method Developed a RBF--FD method to solve the associated PDE numerically.
result Demonstrates efficiency in terms of accuracy and computational cost for pricing FX options.

We study the local volatility function in the Foreign Exchange market where both domestic and foreign interest rates are stochastic. This model is suitable to price long-dated FX derivatives. We derive the local volatility function and obtain several results that can be used for the calibration of this local volatility…

2012-04-03abs ↗pdf ↗

This paper improves VAE-based imputation of FX implied volatilities, reducing errors and handling uncertainty.

problem Imputing missing implied volatilities for FX options.
method Modified VAE architecture and handling uncertainty.
result Significant performance improvements, nearly halving error in low missingness regimes.

Develops a new model for multi-currency volatility using CBI-time-changed Lévy processes.

problem Capturing the risk characteristics of FX markets and their self-exciting dynamics.
method CBI-time-changed Lévy processes, affine processes, Fourier methods, deep-learning techniques.
result An analytically tractable model with a semi-closed pricing formula for currency options.

We introduce a novel multi-factor Heston-based stochastic volatility model, which is able to reproduce consistently typical multi-dimensional FX vanilla markets, while retaining the (semi)-analytical tractability typical of affine models and relying on a reasonable number of parameters. A successful joint calibration t…

2012-01-09abs ↗pdf ↗

TDA improves FX clustering quality over traditional methods.

problem Capturing complex currency co-movements in FX markets.
method Topological Data Analysis (TDA) compared to traditional statistical methods on monthly FX returns.
result TDA-based clustering yields more compact and well-separated clusters.

WATTNet models FX trading tenor selection using spatio-temporal data.

problem NDF tenor selection in FX trading with long-term planning.
method WaveATTentionNet (WATTNet) for spatio-temporal modeling of multivariate time series.
result Significant positive ROI in all NDF markets, outperforming baselines.

A market fix serves as a benchmark for foreign exchange (FX) execution, and is employed by many institutional investors to establish an exact reference at which execution takes place. The currently most popular FX fix is the World Market Reuters (WM/R) 4pm fix. Execution at the WM/R 4pm fix is a service offered by FX b…

2015-01-30abs ↗pdf ↗

This article prices OTC derivatives with either an exogenously determined initial margin profile or endogenously approximated initial margin. In the former case, margin valuation adjustment (MVA) is defined as the liability-side discounted expected margin profile, while in the latter, an extended partial differential e…

2015-12-23abs ↗pdf ↗

New technique identifies lead-lag relationships in FX market during pandemic.

problem Identifying lead-lag relationships in financial markets, especially during crises.
method Dynamic Programming technique for finding optimal lead-lag path, using a loose metric.
result The proposed technique gives the best results in identifying statistically significant paths and closest forecasts.

We use techniques from network science to study correlations in the foreign exchange (FX) market over the period 1991--2008. We consider an FX market network in which each node represents an exchange rate and each weighted edge represents a time-dependent correlation between the rates. To provide insights into the clus…

2009-05-29abs ↗pdf ↗

We examine the Foreign Exchange (FX) spot price spreads with and without Last Look on the transaction. We assume that brokers are risk-neutral and they quote spreads so that losses to latency arbitrageurs (LAs) are recovered from other traders in the FX market. These losses are reduced if the broker can reject, ex-post…

2018-06-12abs ↗pdf ↗

We propose a new model for pricing Quanto CDS and risky bonds. The model operates with four stochastic factors, namely: hazard rate, foreign exchange rate, domestic interest rate, and foreign interest rate, and also allows for jumps-at-default in the FX and foreign interest rates. Corresponding systems of PDEs are deri…

2017-11-20abs ↗pdf ↗

The study uses AI to optimize trading in FX markets by considering size-dependent fees and risk-aversion.

problem Optimizing trading in FX markets with size-dependent fees and risk-aversion.
method Fitted Natural Actor-Critic (FNC) Reinforcement Learning algorithm.
result The algorithm effectively trades with variable order sizes, reducing transaction costs and promoting risk-averse behavior.