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Record W629405863 · doi:10.1007/978-3-7908-2672-2

Foreign exchange intervention as a monetary policy instrument : evidence for inflation targeting countries

2004· book· en· W629405863 on OpenAlexaboutno aff
Felix Hüfner

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsInflation targetingMonetary policyEconomicsPsychological interventionExchange rateInflation (cosmology)Interest rateMonetary economicsAccountabilityMacroeconomicsInternational economicsMedicinePolitical science

Abstract

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1 Introduction.- 1.1 Background.- 1.2 Approach to the Problem and Research Strategy.- 1.3 Structure of the Analysis.- 2 The Conventional View on Inflation Targeting.- 2.1 Definition and Elements of Inflation Targeting.- 2.1.1 Lack of an Explicit Intermediate Target.- 2.1.2 Price Stability as the Final Target.- 2.1.3 Publication of a Numerical Target.- 2.1.4 Transparent Communication of Central Bank Decisions.- 2.1.5 Increased Accountability of the Central Bank.- 2.1.6 Summary and Assessment.- 2.2 Adoption of Inflation Targeting.- 2.2.1 Overview.- 2.2.2 Country Selection.- 2.3 A Basic Model for (Closed-Economy) Inflation Targeting.- 2.4 Open Economy Inflation Targeting.- 2.4.1 Exchange Rate Pass-Through and Monetary Policy.- 2.4.2 The Svensson Model.- 2.4.3 The Ball Model.- 2.4.4 Two Critical Assumptions.- 3 Uncovered Interest Parity in Practice.- 3.1 The Rationale of Interest Parity.- 3.1.1 Covered Interest Parity.- 3.1.2 Uncovered Interest Parity.- 3.2 An Empirical Test for Inflation Targeting Countries.- 3.3 Consequences of the Failure of UIP.- 4 Sterilised Interventions as an Additional Policy Instrument.- 4.1 Explaining and Interpreting Sterilised Interventions.- 4.1.1 Channels for Influencing Exchange Rates.- 4.1.2 Sterilised Interventions as a Monetary Policy Instrument.- 4.1.3 Sterilisation Evidence for Inflation Targeting Countries.- 4.1.4 Managed Floating in Theory.- 4.1.5 Limitations of Sterilised Interventions.- 4.2 The Effectiveness of Sterilised Interventions: A Review of the Literature.- 4.2.1 The Intervention Debate.- 4.2.2 The Inefficiency of Sterilised Interventions in Monetary Models.- 4.2.3 The Portfolio Balance Channel of Interventions.- 4.2.4 Interventions as a Signal of Future Monetary Policy.- 4.2.5 Noise-Traders and the Role of Sterilised Interventions.- 4.2.6 The Microstructure Approach and Sterilised Interventions.- 4.2.7 Assessment of Intervention Models.- 5 Sterilised Foreign Exchange Intervention in Practice.- 5.1 Foreign Exchange Reserves as an Intervention Proxy.- 5.1.1 Reasons for Holding Foreign Exchange Reserves.- 5.1.2 Mechanics of Foreign Exchange Intervention.- 5.1.3 External Influences on Foreign Exchange Reserves and Their Adjustment.- 5.1.3.1 Identification and Correction of Valuation Effects.- 5.1.3.2 Estimation of Interest Earnings.- 5.1.4 The Correlation between Official Interventions and Reserves.- 5.1.5 Active versus Passive Interventions.- 5.2 Intervention Activity in Inflation Targeting Countries.- 5.2.1 Comparison of Intervention Capacities.- 5.2.2 Comparison of Reserve Changes.- 5.2.2.1 Correction for Valuation Changes.- 5.2.2.2 Correction for Interest Earnings.- 5.2.3 Identification of Intervention Activity.- 5.2.3.1 Absolute Reserve Changes.- 5.2.3.2 Normalisation with the Degree of Openness.- 5.2.3.3 Normalisation with the Size of Foreign Exchange Markets.- 5.2.3.4 Response to Shocks.- 5.2.4 Ranking of Intervention Activity.- 5.3 The Use of Interventions as an Additional Policy Instrument.- 5.3.1 Interventions and the Variation of Interest Rates.- 5.3.1.1 Interest Rate Volatility Compared.- 5.3.1.2 Frequency of Policy Rate Changes Compared.- 5.3.1.3 Interpretation of the Findings.- 5.3.2 Policy Reaction Functions and Exchange Rates.- 5.3.2.1 Evolution of Taylor Rules.- 5.3.2.2 Description of Data and Methods.- 5.3.2.3 Stationarity Tests.- 5.3.2.4 Country-Specific Results and Interpretation.- 5.4 Short Case Studies of the Country Experiences.- 5.4.1 New Zealand.- 5.4.2 Canada.- 5.4.3 Australia.- 5.4.4 United Kingdom.- 5.4.5 Sweden.- 6 Performance of Inflation Targeting: An Evaluation.- 7 Conclusion and Outlook.- List of Figures.- List of Tables.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.278
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2004
Admission routes1
Has abstractyes

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