A number of recent studies in the economics literature have focused on the usefulness of factor models in the context of prediction using big data. In this paper, our over-arching question is whether such big data are useful for modelling low frequency macroeconomic variables such as...

We develop metrics based on Shapley values for interpreting time-series forecasting models, including "black-box" models from machine learning. Our metrics are model agnostic, so that they are applicable to any model (linear or nonlinear, parametric or nonparametric). Two of the metrics,...

Following the definition of systemic risk by the Financial Stability Board, the International Monetary Fund and the Bank for International Settlements, this paper proposes a method able to simultaneously address the two dimensions in which this risk materializes: namely the cross-sectional and...

In the recent years several commentators hinted at an increase of the correlation between equity and commodity prices, and blamed investment in commodity-related products for this. First, this paper investigates such claims by looking at various measures of correlation. Next, we assess to what...

This paper builds a model of high-frequency equity returns by separately modeling the dynamics of trade-time returns and trade arrivals. Our main contributions are threefold. First, we characterize the distributional behavior of high-frequency asset returns both in ordinary clock time and in...

This paper analyzes the welfare implications of mandatory disclosure of losses at financial institutions when it is common knowledge that some banks have incurred losses but not which ones. We develop a model that features contagion, meaning that banks not hit by shocks may still suffer losses...

This paper documents and characterizes the time-varying structure of U.S. and international asset co-movements. Although some of the time variation could be genuine, the sampling uncertainty and time series properties of the series can distort significantly the underlying signal dynamics. We...

Using futures data for the period 1990 - 2008, this paper finds evidence that expansionary monetary policy surprises tend to increase crude and heating oil prices, and contractionary monetary policy shocks increase gold and platinum prices. Our analysis uncovers substantial heterogeneity in the...

Commodity derivatives were introduced in India with a dual purpose of promoting price discovery and enhancing risk management in the commodities market. A transaction tax (of 0.01 per cent) on commodity futures trading was introduced in the Union Budget 2013-14. This study examines the rationale...

Security Transaction Tax (STT) was introduced in the Indian capital market in 2004. It is a tax on transaction of equities as well as their derivatives. Despite the reduction in STT over the years, it constitutes a large percentage (next only to brokerage fee) of the total cost of trading. The...