Drilling and Debt
Erik P. Gilje, Elena Loutskina, Daniel Murphy
Journal of Finance,
No. 3,
2020
Abstract
This paper documents a previously unrecognized debt‐related investment distortion. Using detailed project‐level data for 69 firms in the oil and gas industry, we find that highly levered firms pull forward investment, completing projects early at the expense of long‐run project returns and project value. This behavior is particularly pronounced prior to debt renegotiations. We test several channels that could explain this behavior and find evidence consistent with equity holders sacrificing long‐run project returns to enhance collateral values and, by extension, mitigate lending frictions at debt renegotiations.
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Aktuelle Trends: Der Rückgang der Exporte nach Russland betrifft alle Bundesländer und ist nur zum Teil durch die Sanktionen der EU gegenüber Russland zu erklären
Oliver Holtemöller, Martina Kämpfe
Wirtschaft im Wandel,
No. 2,
2019
Abstract
In den vergangenen 20 Jahren waren die deutschen Exporte nach Russland in Relation zur gesamten Wertschöpfung zweimal rückläufig: zunächst im Jahr 2009 und dann wieder seit etwa dem Jahr 2012, also bevor die Europäische Union 2014 erstmals Handelssanktionen gegenüber Russland verhängte. Betroffen sind alle Bundesländer, der Rückgang dauert meist bis in die heutige Zeit an. Die Sanktionen dürften nur einen Teil des Rückgangs erklären. Vielmehr schwächte sich die Nachfrage nach Investitions- und Konsumgütern aus Russland mit dem Ölpreisverfall und der damit verbundenen Abwertung des Rubels Ende 2014 deutlich ab. Dies betraf nicht nur Deutschland, sondern beispielsweise auch China, das an Sanktionen gegenüber Russland nicht beteiligt ist. Erst 2016, als der Ölpreis wieder stieg, setzte eine teilweise Erholung der russischen Importe ein.
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Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks
Christiane Baumeister, James D. Hamilton
American Economic Review,
No. 5,
2019
Abstract
Traditional approaches to structural vector autoregressions (VARs) can be viewed as special cases of Bayesian inference arising from very strong prior beliefs. These methods can be generalized with a less restrictive formulation that incorporates uncertainty about the identifying assumptions themselves. We use this approach to revisit the importance of shocks to oil supply and demand. Supply disruptions turn out to be a bigger factor in historical oil price movements and inventory accumulation a smaller factor than implied by earlier estimates. Supply shocks lead to a reduction in global economic activity after a significant lag, whereas shocks to oil demand do not.
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Macro-Financial Modelling of the Singapore Economy: a GVAR Approach
Alessandro Galesi, Filippo di Mauro
Monetary Authority of Singapore Macroeconomic Review,
October
2017
Abstract
Globalisation has greatly increased the degree of interdependence across countries. Macroeconomic policy must therefore take a global perspective, particularly in the case of small open economies such as Singapore. From a modeller’s point of view, this requires considering many countries, regions and markets, as well as multiple channels of transmission, including trade and financial linkages. Cross-country interdependencies are increasingly reflected in the effects of global shocks, to oil or food prices for example, as well as technology and policy uncertainty spillovers.
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Inflation Dynamics During the Financial Crisis in Europe: Cross-sectional Identification of Long-run Inflation Expectations
Geraldine Dany-Knedlik, Oliver Holtemöller
IWH Discussion Papers,
No. 10,
2017
Abstract
We investigate drivers of Euro area inflation dynamics using a panel of regional Phillips curves and identify long-run inflation expectations by exploiting the crosssectional dimension of the data. Our approach simultaneously allows for the inclusion of country-specific inflation and unemployment-gaps, as well as time-varying parameters. Our preferred panel specification outperforms various aggregate, uni- and multivariate unobserved component models in terms of forecast accuracy. We find that declining long-run trend inflation expectations and rising inflation persistence indicate an altered risk of inflation expectations de-anchoring. Lower trend inflation, and persistently negative unemployment-gaps, a slightly increasing Phillips curve slope and the downward pressure of low oil prices mainly explain the low inflation rate during the recent years.
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Global Food Prices and Monetary Policy in an Emerging Market Economy: The Case of India
Oliver Holtemöller, Sushanta Mallick
Journal of Asian Economics,
2016
Abstract
This paper investigates a perception in the political debates as to what extent poor countries are affected by price movements in the global commodity markets. To test this perception, we use the case of India to establish in a standard SVAR model that global food prices influence aggregate prices and food prices in India. To further analyze these empirical results, we specify a small open economy New-Keynesian model including oil and food prices and estimate it using observed data over the period 1996Q2 to 2013Q2 by applying Bayesian estimation techniques. The results suggest that a big part of the variation in inflation in India is due to cost-push shocks and, mainly during the years 2008 and 2010, also to global food price shocks, after having controlled for exogenous rainfall shocks. We conclude that the inflationary supply shocks (cost-push, oil price, domestic food price and global food price shocks) are important contributors to inflation in India. Since the monetary authority responds to these supply shocks with a higher interest rate which tends to slow growth, this raises concerns about how such output losses can be prevented by reducing exposure to commodity price shocks.
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