The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and...

In March 2017, the IMF published an upgrade of its Direction of Trade Statistics (DOTS) dataset. This paper documents the new methodology that has been developed to estimate missing observations of bilateral trade statistics on a monthly basis. The new estimation procedure is founded on a...

The paper offers an approach to assessing the sustainability of public debt taking into account the effect of fiscal policy on output, as well as uncertainty in the model parameters and system dynamics. Uncertainty is specified in general terms, and the analysis is based on the notion of...

The paper offers a non-probabilistic framework for representation of uncertainty in the context of a simple linear-quadratic model of fiscal adjustment. Instead of treating model disturbances as random variables with known probability distributions, it is only assumed that they belong to some...

The spread of COVID-19, containment measures, and general uncertainty led to a sharp reduction in activity in the first half of 2020. Europe was hit particularly hard—the economic contraction in 2020 is estimated to have been among the largest in the world—with potentially severe...

Option prices provide valuable information on market expectations. This paper attempts to extract market expectations, as conveyed by an implied risk-neutral probability distribution, from option prices for the dollar-euro exchange rate. Returns` volatilities are inferred from observed and...

Macroprudential stress testing (MaPST) is becoming firmly embedded in the post-crisispolicy-frameworks of financial-sectors around the world. MaPSTs can offer quantitative,forward-looking assessments of the resilience of financial systems as a whole, to particularlyadverse shocks. Therefore,...

Recent research in financial economics has shown that rare large disasters have the potential to disrupt financial sectors via the destruction of capital stocks and jumps in risk premia. These disruptions often entail negative feedback effects on the macroeconomy. Research on disaster risks has...

Country practices towards managing financial risks on a sovereign balance sheet continue to evolve. Each crisis period, and its legacy on sovereign balance sheets, reaffirms the need for strengthening financial risk management. This paper discusses some salient features embedded in in the...

Investors seek to hedge against interest rate risk by taking long or short positions on bonds ofdifferent maturities. We study changes in risk taking behavior in a low interest rateenvironment by estimating a market stochastic discount factor that is non-linear and thereforeconsistent with the...