Съдържанието не е налично на български език.
Tobias Sebastian Blattner
- 6 April 2018
- WORKING PAPER SERIES - No. 2139Details
- Abstract
- We present a two-country model with an enhanced banking sector featuring risky lending and cross-border interbank market frictions. We find that (i) the strength of the financial accelerator, when applied to banks operating under uncertainty in an interbank market, will critically depend on the economic and financial structure of the economy; (ii) adverse shocks to the real economy can be the source of banking crisis, causing an increase in interbank funding costs, aggravating the initial shock; and (iii) central bank asset purchases and long-term refinancing operations can be effective substitutes for, or supplements to, conventional monetary policy.
- JEL Code
- E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
F32 : International Economics→International Finance→Current Account Adjustment, Short-Term Capital Movements
F36 : International Economics→International Finance→Financial Aspects of Economic Integration
- 9 September 2016
- WORKING PAPER SERIES - No. 1957Details
- Abstract
- This paper examines how shocks to the net supply of government bonds affect the euro area term structure of interest rates and the wider macroeconomy. To measure net debt supply we construct a new free-float measure, which adjusts total government debt of the four largest euro area economies for foreign official holdings and the maturity of the outstanding stock of debt. Using a small macro-finance BVAR model, we estimate that the ECB
- JEL Code
- C5 : Mathematical and Quantitative Methods→Econometric Modeling
E4 : Macroeconomics and Monetary Economics→Money and Interest Rates
E5 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit
G1 : Financial Economics→General Financial Markets
- 10 June 2010
- WORKING PAPER SERIES - No. 1210Details
- Abstract
- Estimations of simple monetary policy rules are often very rigid. Standard practice requires that a decision is made as to which indicators the central bank is assumed to respond to, ignoring the data-rich environment in which policy-makers typically form their decisions. However, the choice of the feedback variables in the estimations of simple rules bears non-trivial implications for the prescriptions borne from these rules. This paper addresses this issue for the euro area using a new comprehensive real-time database for the euro area and examines the ECB’s past interest-rate setting behaviour in two complementary ways that are designed to deal with both model and data uncertainty. In a first step we follow the “thick-modelling” approach suggested by Granger and Jeon (2004) and estimate a series of 3,330 policy rules. In a second step we employ a factor-model approach similar to Bernanke and Boivin (2003) for the US Fed, but with structurally interpretable factors à la Belviso and Milani (2006). Taken together, we find a strong justification for the need of adopting robust approaches to describe the historical evolution of euro area monetary policy. We also find that the ECB is neither purely backward nor forward-looking, but reacts to a synthesis of the available information on the current and future state of the economy.
- JEL Code
- C50 : Mathematical and Quantitative Methods→Econometric Modeling→General
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
- 12 March 2008
- OCCASIONAL PAPER SERIES - No. 83Details
- Abstract
- Current best practice in central banking views a high level of monetary policy predictability as desirable. A clear distinction, however, has to be made between short-term and longer-term predictability. While short-term predictability can be narrowly defined as the ability of the public to anticipate monetary policy decisions correctly over short horizons, the broader, ultimately more meaningful concept of longer-term predictability also encompasses the ability of the private sector to understand the monetary policy framework of a central bank, i.e. its objectives and systematic behaviour in reacting to different circumstances and contingencies. In this broader sense, longer-term predictability is also closely related to the credibility of the central bank. This paper reviews the main conceptual issues relating to predictability, both in its short and longer-term dimensions, and discusses how a transparent monetary policy strategy can be - and indeed has been - instrumental in achieving this purpose. This latter aspect is investigated in an overview of the empirical literature, highlighting how financial markets have been increasingly able to correctly anticipate monetary policy decisions for a number of large central banks, including the ECB. The paper also reviews several possible empirical proxies for the less-explored concept of longer-term predictability, which is inherently more difficult to measure.
- JEL Code
- E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
E61 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→Policy Objectives, Policy Designs and Consistency, Policy Coordination
- 9 June 2005
- OCCASIONAL PAPER SERIES - No. 30Details
- Abstract
- Chapter 1 provides an overview and assessment of the price competitiveness and export performance of the euro area and the larger euro area countries, as well as an evaluation of how standard equations have been able to explain actual export developments. Chapter 2 carries out a constant market share analysis for the euro area and thereby sheds light on the reasons for movements in aggregate export market shares by looking at the sectoral and geographical composition of euro area exports. Chapter 3 looks at the evolution of the technological competitiveness of the euro area and major competitors
- JEL Code
- E3 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles