We estimate a New Keynesian small open economy model which allows for foreign exchange (FX) market frictions and a potential role for FX interventions for a large set of emerging market economies (EMEs) and some inflation targeting (IT) advanced economy (AE) countries serving as a control group....

We study the order acceptance and resource planning problem which has applications in many industries such as healthcare, logistics, and manufacturing. We extend the recent literature by considering two new features: the number of resources is a decision and processing times are uncertain....

This paper studies dynamic asset allocation with interest rate risk and several sources of ambiguity. The market consists of a risk-free asset, a zero-coupon bond (both determined by a Vasicek model), and a stock. There is ambiguity about the risk premia, the volatilities, and the correlation....

This paper presents a bi-level approach to support retailers in making investment decisions in renewable-based systems to provide clean electricity. The proposed model captures the strategic nature of the problem and combines capacity sizing decisions for installed technologies with pricing...

We consider the financial hedging problem of a firm whose operational cash flow from its inventory operation is affected by both price and demand uncertainties. We assume that selling prices and demand arrival process are governed by an exogenous continuous stochastic price process which is...

In this note, we propose an estimator for continuous-choice dynamic structural models. Our approach expands the class of models that can be estimated using the GMM methods in Hansen and Singleton (1982) by leveraging a theoretical result on stochastic Euler equations from Acemoglu (2009). We...

This paper introduces the probabilistic formulation of continuous-time economic models: forward stochastic differential equations (SDE) govern the dynamics of backward-looking variables, and backward SDEs capture that of forward-looking variables. Deep learning streamlines the search for the...

ABSTRACT. Using a powerful technique of stochastic time change, we introduce a new two factor commodity price model, where one of the fundamental factors is the activity rate of the stochastic clock. This factor implicitly introduces stochastic volatility into the model. The model is developed...

The study deals with stochastic dynamic mass spectrometric 3D structural analysis of (rac)-1-and 2-phenylethylamines determining enantiomers, positional isomers and molecular isotopologies, respectively. High resolution electrospray ionization mass spectrometric, high accuracy static and...

Artificial Intelligence (AI) models have been recently studied in finance to discover data patterns. However, generative AI, particularly in image synthesis, remains relatively unexplored. In this paper, we investigate the potential of generative AI to model unknown dynamics using stock chart...