We document that observed international input-output linkages contribute substantially to synchronizing producer price inflation (PPI) across countries. Using a multi-country, industry-level dataset that combines information on PPI and exchange rates with international and domestic input-output linkages, we recover the underlying cost shocks that are propagated internationally via the global input-output network, thus generating the observed dynamics of PPI. We then compare the extent to which common global factors account for the variation in actual PPI and in the underlying cost shocks. Our main finding is that across a range of econometric tests, input-output linkages account for half of the global component of PPI inflation. We report three additional findings: (i) the results are similar when allowing for imperfect cost pass-through and demand complementarities; (ii) PPI synchronization across countries is driven primarily by common sectoral shocks and input-output linkages amplify co-movement primarily by propagating sectoral shocks; and (iii) the observed pattern of international input use preserves fat-tailed idiosyncratic shocks and thus leads to a fat-tailed distribution of inflation rates, i.e., periods of disinflation and high inflation.
In this paper, we empirically analyze the transmission of realized interest rate risk - the gain or loss in a bank's economic capital caused by movements in interest rates - to bank lending. We exploit a unique panel data set that contains supervisory information on the repricing maturity profiles of Swiss banks and provides us with an individual measure of interest rate risk exposure net of hedging. Our analysis yields two main results. First, the impact of an interest rate shock on bank lending significantly depends on the individual exposure to interest rate risk. The higher a bank's exposure to interest rate risk, the higher the impact of an interest rate shock on its lending. Our estimates indicate that a year after a permanent 1 percentage point upward shock in nominal interest rates, the average bank in 2013Q3 would, ceteris paribus, reduce its cumulative loan growth by approximately 300 basis points. An estimated 12.5% of the impact would result from realized interest rate risk weakening the bank's economic capital. Second, bank lending appears to be mainly driven by capital rather than liquidity, suggesting that a higher capitalized banking system can better shield its creditors from shocks in interest rates.
We document that observed international input-output linkages contribute substantially to synchronizing producer price inflation (PPI) across countries. Using a multi-country, industry-level dataset that combines information on PPI and exchange rates with international and domestic input-output linkages, we recover the underlying cost shocks that are propagated internationally via the global input-output network, thus generating the observed dynamics of PPI. We then compare the extent to which common global factors account for the variation in actual PPI and in the underlying cost shocks. Our main finding is that across a range of econometric tests, input-output linkages account for half of the global component of PPI inflation. We report three additional findings: (i) the results are similar when allowing for imperfect cost pass-through and demand complementarities; (ii) PPI synchronization across countries is driven primarily by common sectoral shocks and input-output linkages amplify co-movement primarily by propagating sectoral shocks; and (iii) the observed pattern of international input use preserves fat-tailed idiosyncratic shocks and thus leads to a fat-tailed distribution of inflation rates, i.e., periods of disinflation and high inflation.
In this paper, we empirically analyze the transmission of realized interest rate risk - the gain or loss in a bank's economic capital caused by movements in interest rates - to bank lending. We exploit a unique panel data set that contains supervisory information on the repricing maturity profiles of Swiss banks and provides us with an individual measure of interest rate risk exposure net of hedging. Our analysis yields two main results. First, the impact of an interest rate shock on bank lending significantly depends on the individual exposure to interest rate risk. The higher a bank's exposure to interest rate risk, the higher the impact of an interest rate shock on its lending. Our estimates indicate that a year after a permanent 1 percentage point upward shock in nominal interest rates, the average bank in 2013Q3 would, ceteris paribus, reduce its cumulative loan growth by approximately 300 basis points. An estimated 12.5% of the impact would result from realized interest rate risk weakening the bank's economic capital. Second, bank lending appears to be mainly driven by capital rather than liquidity, suggesting that a higher capitalized banking system can better shield its creditors from shocks in interest rates.
This paper explores the robustness of the Balassa-Samuelson (BS) hypothesis. We analyze an OECD country panel from 1970 to 2008 and compare three data sets on sectoral productivity, including newly constructed data on total factor productivity. Overall, our within- and between-dimension estimation results do not support the BS hypothesis. Over the last two decades, we find a robust negative relationship between productivity in the tradable sector and the real exchange rate, even after including the terms of trade to control for the deviations from the law of one price. Earlier supportive findings depend on the choice of the data set and the model specification.
We compare several methods for monitoring short-term economic developments in Switzerland. Based on a large mixed-frequency data set, the following approaches are presented and discussed: factor-based information combination approaches (including factor model versions based on the Kalman filter/smoother, a principal component based version and the three-pass regression filter), a model combination approach resting on MIDAS regression models and a model selection approach using a specific-to-general algorithm. In an out-of-sample GDP forecasting exercise, we show that the considered approaches clearly beat relevant benchmarks such as univariate time-series models and models that work with one or a small number of indicators. This suggests that a large data set is an important ingredient for successful real-time monitoring of the Swiss economy. The models using a large data set particularly outperform others during and after the Great Recession. Forecast pooling of the most-promising methods turns out to be the best option for obtaining a reliable nowcast for the Swiss economy.
This paper explores the robustness of the Balassa-Samuelson (BS) hypothesis. We analyze an OECD country panel from 1970 to 2008 and compare three data sets on sectoral productivity, including newly constructed data on total factor productivity. Overall, our within- and between-dimension estimation results do not support the BS hypothesis. Over the last two decades, we find a robust negative relationship between productivity in the tradable sector and the real exchange rate, even after including the terms of trade to control for the deviations from the law of one price. Earlier supportive findings depend on the choice of the data set and the model specification.
