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Discussion Paper
An Examination of U.S. Dollar Declines
Although the dollar strengthened somewhat recently, its level relative to the currencies of the United States’ main trading partners is nonetheless 11 percent lower than it was at the start of 2009. This represents one of the more pronounced periods of dollar weakness over the past two decades and consequently has garnered considerable attention from market participants and policymakers alike. In this post, we examine the role of market uncertainty and currency risk premia in the pace and size of episodes of dollar weakness since 1991. We find that the most recent bout of U.S. dollar ...
Report
The GSCPI: A New Barometer of Global Supply Chain Pressures
We propose a novel indicator to capture pressures that arise at the global supply chain level, the Global Supply Chain Pressure Index (GSCPI). The GSCPI provides a new monitoring tool to gauge global supply chain conditions. We assess the index’s capacity to explain inflation outcomes, using the local projection method. Our analysis shows that recent inflationary pressures are closely related to the behavior of the GSCPI, especially at the level of producer price inflation in the United States and the euro area.
Report
Financial amplification of foreign exchange risk premia
Theories of systemic risk suggest that financial intermediaries? balance-sheet constraints amplify fundamental shocks. We provide supporting evidence for such theories by decomposing the U.S. dollar risk premium into components associated with macroeconomic fundamentals and a component associated with financial intermediaries? balance sheets. Relative to the benchmark model with only macroeconomic state variables, balance sheets amplify the U.S. dollar risk premium. We discuss applications to systemic risk monitoring.
Discussion Paper
A New Barometer of Global Supply Chain Pressures
Supply chain disruptions have become a major challenge for the global economy since the start of the COVID-19 pandemic. Factory shutdowns (particularly in Asia) and widespread lockdowns and mobility restrictions have resulted in disruptions across logistics networks, increases in shipping costs, and longer delivery times. Several measures have been used to gauge these disruptions, although those measures tend to focus on selected dimensions of global supply chains. In this post, we propose a new gauge, the Global Supply Chain Pressure Index (GSCPI), which integrates a number of commonly used ...
Discussion Paper
Putting the Current Oil Price Collapse into Historical Perspective
Since the outbreak of the COVID-19 pandemic in late January, oil prices have fallen sharply. In this post, we compare recent price declines with those seen in previous oil price collapses, focusing on the drivers of such episodes. In order to do that, we break oil price shocks down into demand and supply components, applying the methodology behind the New York Fed’s weekly Oil Price Dynamics Report.
Report
Real-time inflation forecasting in a changing world
This paper revisits the accuracy of inflation forecasting using activity and expectations variables. We apply Bayesian-model averaging across different regression specifications selected from a set of potential predictors that includes lagged values of inflation, a host of real activity data, term structure data, nominal data, and surveys. In this model average, we can entertain different channels of structural instability by incorporating stochastic breaks in the regression parameters of each individual specification within this average, allowing for breaks in the error variance of the ...
Discussion Paper
Creating a History of U.S. Inflation Expectations
Central bankers closely monitor inflation expectations because they?re an important determinant of actual inflation. Treasury inflation-protected securities (TIPS) are commonly used to measure bond market inflation expectations. Unfortunately, they were only introduced in 1997, so historical data are limited. We propose a solution to this problem by using the relationship between TIPS yields and other data with a longer history to construct synthetic TIPS rates going back to 1971.
Discussion Paper
A New Approach for Identifying Demand and Supply Shocks in the Oil Market
An oil-price spike is often used as the textbook example of a supply shock. However, rapidly rising oil prices can also reflect a demand shock. Recognizing the difference is important for central bankers. A supply-driven increase in the price of oil can result in higher unemployment and inflation, leaving central bankers with the difficult decision to loosen policy, tighten policy, or not respond at all. A demand-driven increase reflecting global growth may support the case for tighter policy. In this post, we describe an approach for decomposing oil price changes into supply and demand ...
Report
Parsimonious estimation with many instruments
We suggest a way to perform parsimonious instrumental variables estimation in the presence of many, and potentially weak, instruments. In contrast to standard methods, our approach yields consistent estimates when the set of instrumental variables complies with a factor structure. In this sense, our method is equivalent to instrumental variables estimation that is based on principal components. However, even if the factor structure is weak or nonexistent, our method, unlike the principal components approach, still yields consistent estimates. Indeed, simulations indicate that our approach ...
Journal Article
Alternative Indicators for Chinese Economic Activity Using Sparse PLS Regression
Official Chinese GDP growth rates have been remarkably smooth over the past decade, in contrast with alternative Chinese economic data. To better identify Chinese business cycles, we construct a sparse partial least squares (PLS) factor from a wide array of Chinese higher-frequency data, targeted toward variables that are highly correlated with important aspects of the Chinese economy. Our resulting alternative growth indicator clearly identifies Chinese business cycle fluctuations and it performs well both in out-of-sample testing for China as well as when applied to other economies. Using ...