Develops optimal currency hedging strategy for fund managers considering liquidity risk.
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This paper offers a framework for FX dealers to decide between internalizing and externalizing their market making to balance risk control and costs.
This paper compares hedging strategies for pegged FX markets using a RS model.
AWARE-FX uses AI to audit foreign-exchange risk disclosures in corporate reports.
This paper offers a mathematical framework to manage inventory risk in FX cash markets.
Method to decompose portfolio performance into FX, interest rate, carry, and residual market risks.
This work addresses the problem of optimal pricing and hedging of a European option on an illiquid asset Z using two proxies: a liquid asset S and a liquid European option on another liquid asset Y. We assume that the S-hedge is dynamic while the Y-hedge is static. Using the indifference pricing approach we derive a HJ…
This study improves credit risk management using advanced reinforcement learning.
We study the problem of optimal pricing and hedging of a European option written on an illiquid asset using a set of proxies: a liquid asset , and liquid European options , each written on a liquid asset . We assume that the -hedge is dynamic while the multi-name -hedge is static. Usin…
This study examines how market makers balance risk and impact in foreign exchange markets.
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 …
The Local Volatility model is a well-known extension of the Black-Scholes constant volatility model whereby the volatility is dependent on both time and the underlying asset. This model can be calibrated to provide a perfect fit to a wide range of implied volatility surfaces. The model is easy to calibrate and still ve…
Proposes a new framework for invariant quadratic P&L predictions in option books.
The study finds flaws in methods used to estimate foreign exchange option prices.
Entropy measures financial drawdowns, volatility, and volatility regimes.
Unified pricing method for FX options with barriers.
Paper proposes methods for pricing FX-linked Bermudan options using quantization.
There is intense interest in understanding the stochastic and dynamical properties of the global Foreign Exchange (FX) market, whose daily transactions exceed one trillion US dollars. This is a formidable task since the FX market is characterized by a web of fluctuating exchange rates, with subtle inter-dependencies wh…
Model accurately calibrates FX market skew for exotic options.
New FX option interpolations impact implied volatilities.
We introduce a tractable multi-currency model with stochastic volatility and correlated stochastic interest rates that takes into account the smile in the FX market and the evolution of yield curves. The pricing of vanilla options on FX rates can be performed effciently through the FFT methodology thanks to the affinit…
Paper examines two methods for FX market volatility modeling.
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…
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…
A new approach for pricing FX options that uses a single model for all markets.
Paper extends Lévy models with memory to better price FX double barrier options.
Paper proposes an efficient method for pricing FX options with stochastic volatility and interest rates.
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…
Investigates consistency of FX rate dynamics under inversion.
This paper improves VAE-based imputation of FX implied volatilities, reducing errors and handling uncertainty.
Develops a new model for multi-currency volatility using CBI-time-changed Lévy processes.
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…
TDA improves FX clustering quality over traditional methods.
Simple method solves Quanto Skew problem.
WATTNet models FX trading tenor selection using spatio-temporal data.
Credit Default Swaps (CDS) on a reference entity may be traded in multiple currencies, in that protection upon default may be offered either in the domestic currency where the entity resides, or in a more liquid and global foreign currency. In this situation currency fluctuations clearly introduce a source of risk on C…
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…
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…
New technique identifies lead-lag relationships in FX market during pandemic.
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…
It is known that the implied volatility skew of FX options demonstrates a stochastic behavior which is called stochastic skew. In this paper we create stochastic skew by assuming the spot/instantaneous variance correlation to be stochastic. Accordingly, we consider a class of SLV models with stochastic correlation wher…
Investigates optimal strategies for market makers using internal liquidity.
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…
Study option pricing in sideways markets and target zones.
The condition for stationary increments, not scaling, detemines long time pair autocorrelations. An incorrect assumption of stationary increments generates spurious stylized facts, fat tails and a Hurst exponent H_s=1/2, when the increments are nonstationary, as they are in FX markets. The nonstationarity arises from s…
We develop an expansion approach for the pricing of European quanto options written on LIBOR rates (of a foreign currency). We derive the dynamics of the system of foreign LIBOR rates under the domestic forward measure and then consider the price of the quanto option. In order to take the skew/smile effect observed in …
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…
The study uses AI to optimize trading in FX markets by considering size-dependent fees and risk-aversion.