Over the last decade, the microstructure approach to exchange rates has become very popular. The underlying idea of this approach is that the order flows at different levels of aggregation contain valuable information to explain exchange rate movements. The bulk of empirical literature has...

Over the last decade, the microstructure approach to exchange rates has become very popular. The underlying idea of this approach is that the order flows at different levels of aggregation contain valuable information to explain exchange rate movements. The bulk of empirical literature has...

In this work, assuming as a model the Multifractional Processes with Random Exponent (MPRE), we propose a simulation algorithm able to replicate financial time series, specifically pertaining to the FX market. We show how, properly choosing the functional parameter of the MPRE, the simulated...

We generalize the portfolio shifts model advanced by Evans and Lyons (2002a; b), and develop the dynamic asymmetric portfolio shifts (DAPS) model by explicitly allowing for possible market under- and overreactions and for asymmetric pricing impacts of order flows. Using the Reuters D2000-1 daily...

Starting from Obaseki (1998), several authors have developed different models of Naira equilibrium real exchange rate in a bid to better understand its behavior, albeit without accounting for the possibility and effects of structural breaks in their models. This is counterintuitive, especially...

This study provides a comprehensive description of the intra-day dynamics of major US-Dollar spot exchange rates. We use quantile autoregression to investigate the presence of (non-)linear temporal dependence in foreign exchange returns at various intra-daily time-horizons, ranging from ten...

This paper tests the hypothesis on market efficiency for returns on the euro against fifteen currencies while assuming predictability of returns, dependent on the sign and magnitude of endogenous shocks. Considering the properties of exchange rate returns, the quantile autoregression approach...

This paper applies recently developed procedures to monitor and date so-called "financial marketdislocations", defined as periods in which substantial deviations from arbitrage parities take place. In particular, we focus on deviations from the triangular arbitrage parity for exchange rate...

Deep learning has substantially advanced the state of the art in computer vision, natural language processing, and other fields. The paper examines the potential of deep learning for exchange rate forecasting. We systematically compare long short- term memory networks and gated recurrent units...

This paper examines the effect of target Federal funds rate changes on major five foreign exchange markets: Canada, Australia, Euro, Japan and the UK during the period from 2000 to 2007. Two different approaches of Rai, Seth and Mohanty (2007) and the event study of Brown and Warner (1980, 1985)...