We consider multi-factor Levy models based on SDEs driven by alpha-stable Levy processes.Using change of time method for Levy-based stochastic integrals we show how to pricing many of financial and energy derivatives

Assessing the state of the economy in real time is critical for policy-making, and understanding the risks to those assessments is equally important. Policy-makers are typically provided with point forecasts that contain insufficient information about risks. In contrast, predictive densities...

Multiresolution wavelet analysis is a natural way to decompose an economic time series into trend, cycle, and noise. The method is illustrated with GDP data. The business-cycle component of the wavelet-filtered series closely resembles the series filtered by the approximate bandpass filter

The revised Bank of Korea Act states that the primary goal of monetary policy is price stability, suggesting that monetary policy will move toward an inflation-targeting framework. The paper explores some of the practical aspects of this move, including such issues as the predictability of...

We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature. Impulse response functions are then estimated using local projections. This...

This paper looks at the implications for monetary policy of the widespread adoption of artificial intelligence and machine learning, which is sometimes called the "fourth industrial revolution". The paper reviews experiences from the previous three industrial revolutions, developing a template...

In this paper we present a multivariate analysis of the Federal Reserve’s forecasts. First, we evaluate the Fed’s forecasts of the ten major expenditure categories of real GDP. Second, we present a new methodology for evaluating multivariate forecasts. Finally, we use the same methodology to...

This paper presents a new approach to evaluating multiple economic forecasts. In the past, evaluations have focused on the forecasts of individual variables. However, many macroeconomic variables are forecast at the same time and are used together to describe the state of the economy. It is,...

This paper proposes a novel wavelet-based approach for constructing composite indicators. The wavelet-based methodology exploits the ability of wavelet analysis to analyse the relationships between variables on a scale-by-scale, rather than aggregate, basis. A wavelet-based index which combines...

We study the workings of the factor analysis of high-dimensional data using artificial series generated from a large, multi-sector dynamic stochastic general equilibrium (DSGE) model. The objective is to use the DSGE model as a laboratory that allows us to shed some light on the practical...