On the Low-frequency Relationship Between Public Deficits and Inflation
Martin Kliem, Alexander Kriwoluzky, Samad Sarferaz
Journal of Applied Econometrics,
No. 3,
2016
Abstract
We estimate the low-frequency relationship between fiscal deficits and inflation and pay special attention to its potential time variation by estimating a time-varying vector autoregression model for US data from 1900 to 2011. We find the strongest relationship neither in times of crisis nor in times of high public deficits, but from the mid 1960s up to 1980. Employing a structural decomposition of the low-frequency relationship and further narrative evidence, we interpret our results such that the low-frequency relationship between fiscal deficits and inflation is strongly related to the conduct of monetary policy and its interaction with fiscal policy after World War II.
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Evidence for the Existence of Downward Real-Activity Earnings Management
Bill Francis, Iftekhar Hasan, Lingxiang Li
Journal of Accounting, Auditing and Finance,
No. 2,
2016
Abstract
Prior studies of real-activity earnings management (REM) focus on earnings-inflating abnormal activities. We seek to establish the existence of downward REM by investigating several corporate events in which managers have incentives to temporarily deflate market valuations. Specifically, we focus on, and find downward REM before, share repurchases, management buyouts (MBOs), and CEO option awards. Large-sample evidence of downward REM is also found in our general analysis of earnings smoothing. Downward REM becomes much smaller or nonexistent when there is a lack of managerial incentives in those events, such as non-carry-through repurchases, incomplete MBOs, and unexpected option awards. Following the research design of Zang, we find that various REM and accrual-based earnings management (AEM) cost factors consistently influence the magnitude of downward REM and AEM around the three corporate events.
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16.03.2016 • 10/2016
German Economy Stays Stable Despite Shaky Environment
The German economy had a good start into the year 2016, in spite of heightened risks for the world economy and political turmoil in Europe. Employment and incomes are expanding, as is internal de-mand, additionally supported by government spending related to the high number of newly arrived refugees. However, sliding sentiment indicates a temporary slow down of the economy during this spring. We assume that the present political tensions inside the European Union can be mitigated in the coming months and that confidence will rise again. All in all, gross domestic product (GDP) is forecast to rise by 1.5% in 2016.
Oliver Holtemöller
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A Market-based Indicator of Currency Risk: Evidence from American Depositary Receipts
Stefan Eichler, Ingmar Roevekamp
IWH Discussion Papers,
No. 4,
2016
Abstract
We introduce a novel currency risk measure based on American Depositary Receipts(ADRs). Using a multifactor pricing model, we exploit ADR investors’ exposure to potential devaluation losses to derive an indicator of currency risk. Using weekly data for a sample of 831 ADRs located in 23 emerging markets over the 1994-2014 period, we find that a deterioration in the fiscal and current account balance, as well as higher inflation, increases currency risk. Interaction models reveal that these macroeconomic fundamentals drive currency risk, particularly in countries with managed exchange rates, low levels of foreign exchange reserves and a poor sovereign credit rating.
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The Diablo 3 Economy: An Agent Based Approach
Makram El-Shagi, Gregor von Schweinitz
Computational Economics,
No. 2,
2016
Abstract
Designers of MMOs such as Diablo 3 face economic problems much like policy makers in the real world, e.g. inflation and distributional issues. Solving economic problems through regular updates (patches) became as important to those games as traditional gameplay issues. In this paper we provide an agent framework inspired by the economic features of Diablo 3 and analyze the effect of monetary policy in the game. Our model reproduces a number of features known from the Diablo 3 economy such as a heterogeneous price development, driven almost exclusively by goods of high quality, a highly unequal wealth distribution and strongly decreasing economic mobility. The basic framework presented in this paper is meant as a stepping stone to further research, where our evidence is used to deepen our understanding of the real-world counterparts of such problems. The advantage of our model is that it combines simplicity that is inherent to model economies with a similarly simple observable counterpart (namely the game environment where real agents interact). By matching the dynamics of the game economy we can thus easily verify that our behavioral assumptions are good approximations to reality.
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Monetary-fiscal Policy Interaction and Fiscal Inflation: A Tale of Three Countries
Martin Kliem, Alexander Kriwoluzky, Samad Sarferaz
Abstract
We study the impact of the interaction between fiscal and monetary policy on the low-frequency relationship between the fiscal stance and inflation using cross-country data from 1965 to 1999. In a first step, we contrast the monetary-fiscal narrative for Germany, the U.S. and Italy with evidence obtained from simple regression models and a time-varying VAR. We find that the low-frequency relationship between the fiscal stance and inflation is low during periods of an independent central bank and responsible fiscal policy and more pronounced in times of high fiscal budget deficits and accommodative monetary authorities. In a second step, we use an estimated DSGE model to interpret the low-frequency measure structurally and to illustrate the mechanisms through which fiscal actions affect inflation in the long run. The findings from the DSGE model suggest that switches in the monetary-fiscal policy interaction and accompanying variations in the propagation of structural shocks can well account for changes in the low-frequency relationship between the fiscal stance and inflation.
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EFN Report Autumn 2015: Economic Outlook for the Euro Area in 2015 and 2016
European Forecasting Network Reports,
No. 4,
2015
Abstract
For the end of this year and for 2016, chances are good that production in advanced economies will continue to expand a bit faster than at trend rates, while growth dynamics in emerging markets economies will not strengthen or even continue to decrease.
Since autumn 2014, production in the euro area expands at an annualized rate of about 1.5%. The recovery appears to be broad based, with contributions from private consumption, exports, and investment into fixed capital, although it fell back in the second quarter after a strong increase at the beginning of the year. From a regional perspective, the recovery is as well quite broad based: production is expanding in almost every country, surprisingly and according to official data, including Greece.
Structural impediments still limit the ability of the euro area economy to grow strongly: firms and, in particular, private households are only slowly reducing their heavy debt burdens.
According to our forecasts, the euro area GDP will grow by 1.6% in 2015 and by 1.9% in 2016. The high increase in the number of refugees in 2015 will, in principle, positively affect private as well as public consumption, but the effect should be below 0.1 percentage points relative to GDP.
Our inflation forecast for 2015 is 0.1%. For 2016, we expect that inflation will increase to 1.3%, which is still below the ECB’s target of 2%.
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Global Food Prices and Business Cycle Dynamics in an Emerging Market Economy
Oliver Holtemöller, Sushanta Mallick
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 from 1996Q2 to 2013Q2 by applying Bayesian estimation techniques. The results suggest that 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 and thereby achieve higher growth.
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