MétaCan
Menu
Back to cohort
Record W7019925471

The Interaction between financial markets and monetary policy

2020· dissertation· en· W7019925471 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUEA Digital Repository (University of East Anglia) · 2020
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsnot available
Fundersnot available
KeywordsMonetary policyDebtGovernment (linguistics)Order (exchange)Context (archaeology)Payment
DOInot available

Abstract

fetched live from OpenAlex

This thesis deals with the interaction between financial markets and monetary policy from three different perspectives. First, I study the perspective of equity investors and their reaction to the Federal Open Market Committee (FOMC) announcements, when they disagree on Nominal Interest Rate level decisions. My evidence shows that investor expectations formulated prior to FOMC announcements have a significant impact on equity prices, particularly when these expectations are not aligned with the FOMC committee decisions. My results reconcile past findings on the monetary policy surprise literature and more recent empirical findings on the effect of FOMC announcements on equity markets. Moreover, as I find no effect on equity returns when the FOMC committee decision is anticipated by the market, a practical implication of my study is that monetary policy authorities should take into account market expectations when formulating disclosure policy in order to improve alignment with financial market expectations and smooth out their economic consequences.
\nSecond, I provide evidence of the effects of the European Central Bank (ECB) monetary policy shocks on the real economy, specifically on industrial production and inflation. This analysis investigates how the ECB monetary policy shocks impact industrial production (output) and inflation (prices) following the established narrative methodology of Romer & Romer (2004). Past standard statistical approaches have yielded very limited results in terms of magnitude. The narrative methodology, conversely, has yielded significant effects of monetary shocks on prices and output. Most of these studies analysed the effect of monetary policy in the United States and only a recent portion of the literature has extended the analysis to other countries (United Kingdom and Canada). This chapter contributes to the extant literature in extending the narrative methodology to the Eurozone and adapting it to include the unconventional monetary policies put in place by the Governing Council of the ECB in the past decade. To do so, I gather a novel dataset of macroeconomic forecasts and construct a new measure of monetary policy shocks. Industrial production responds to unpredictable monetary policy shocks with a decline of over 0.5%. On the contrary, inflation responds weakly to monetary shocks, with a very modest and unstable decrease of 0.05%. Furthermore, I provide empirical evidence of the heterogeneous responses of inflation and output among Eurozone countries. These last results are particularly relevant to policy makers of the ECB Governing Council, given that their policy decisions should have a homogenous effect on the Eurozone economy.
\nThird, I investigate whether financial market stability is a concern for monetary policy makers in the case of the European Central Bank (ECB) and Bank of England (BOE). Whether financial market stability should be a concern of monetary policy makers is an unresolved and long debated question, which has resurfaced after the 2008 financial crisis. In this chapter, I propose a forward-looking Augmented Taylor (1993) Rule to investigate the conduct of monetary policy and apply this idea to the 2003–2018 time period for both the ECB and the BOE. I show that a forward-looking Augmented Taylor Rule explains the deviation of observed rates consistent with its implied rates. By including a measure of Financial Market Stability Slack, I also show that the evolving preferences of monetary policy makers have taken into account the financial markets turmoil, particularly in the aftermath of the 2008 financial crisis.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.190
Teacher spread0.166 · 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