This study investigates the effects of oil price shocks on volatility of selected agricultural and metal commodities. To achieve this goal, we decompose an oil price shock to its underlying components, including macroeconomics and oil specific shocks. The applied methodology is the structural...

Financial network structure is an important determinant of systemic risk. This paper examines how the U.S. interbank network evolved over a long and important period that included two key events: the founding of the Federal Reserve and the Great Depression. Banks established connections to...

How do banks respond to asset booms? This paper examines i) how U.S. banks responded to the World War I farmland boom; ii) the impact of regulation; and iii) how bank closures exacerbated the post-war bust. The boom encouraged new bank formation and balance sheet expansion (especially by new...

The study revealed the strong impact of policy measures on production, procurement, stocks and trade. We detected several market distortions and mounting fiscal costs. Wheat and rice supply strongly and significantly respond to the minimum support price (MSP). Wholesale prices at planting or...

Agricultural futures markets can provide useful information to farmers for taking more informed planting decisions for their crops, which are forward looking, and thus reduce their market risk. But in India, agri-futures have gone through a roller-coaster ride since their mega opening in 2003,...

We develop a structural econometric model to study the impacts of El Niño Southern Oscillation (ENSO) on Colombian coffee production, exports and price. Our empirical specification is consistent with an economic model of the coffee market that, in the short-run, is characterized by a...

This paper applies an agnostic structural vector autoregression (SVAR) approach to study the response of four Andean economies (Bolivia, Colombia, Ecuador, and Peru) to international shocks. More specifically, we look at the response of gross domestic product, the real exchange rate, fiscal and...

In this article, we propose a cointegration-based Permanent-Transitory decomposition for nonstationary Dynamic Factor Models. Our methodology exploits the cointegration relations among the observable variables and assumes they are driven by a common and an idiosyncratic component. The common...

This study investigates the disconnect between falling agricultural commodity prices and persistent food inflation by applying a Heterogeneous Vector Autoregression (VAR) model to a panel of 203 countries using data from 1961 to 2022. It analyzes the impact of global crops, fertilizer, and oil...

We present a weekly structural Vector Autoregressive (VAR) model of the US crude oil market. Exploiting weekly data we can explain short-run crude oil price dynamics, including those related with the COVID-19 pandemic and with the Russia's invasion of Ukraine. The model is set identified with a...