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Record W221492883

Caner Bakir: Bank Behaviour and Resilience: The Effect of Structures, Institutions and Agents

2013· article· en· W221492883 on OpenAlexaboutno aff
Frank Stilwell, Mike Beggs

Bibliographic record

VenueJournal of Australian political economy · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsnot available
Fundersnot available
KeywordsScrutinyPublishingPoliticsProject commissioningScale (ratio)Financial systemResilience (materials science)Psychological resilienceFinancial crisisBusinessPolitical sciencePolitical economyEconomySociologyEconomicsLawMacroeconomicsGeography
DOInot available

Abstract

fetched live from OpenAlex

Caner Bakir Bank Behaviour and Resilience: the Effect of Structures, Institutions and Agents Palgrave Macmillan, Basingstoke, 2013, pp. 214, $109. Lina Rethel & Timothy J. Sinclair The Problem with Banks Zed Books, London, 2012, pp. 147, $21.80. There is a widespread view, in the wake of the global financial crisis, that the banking system needs to come under critical scrutiny, if not comprehensive regulation. These two books are among the contributions from political economists, seeking to analyse what banks do and under what conditions and regulatory arrangements they are most likely to operate without creating major social damage. In both cases, the primary focus is on systemic stability at a macroeconomic scale, rather than on more 'micro' level concerns about individual banks' lending practices that periodically generate charges of 'unconscionable behaviour'. The two books address similar themes but within different analytical frameworks and with different styles. Their shared concern is to cast light on the behaviour of the banking sector and how it fits into the broader functioning of the economy--for better or worse. Caner Bakir's book pays particular attention to Australia, based on the research he did for his PhD at Monash University. This adds to its local interest, but his analysis of the Australian situation also should be of international interest because the financial turmoil here was so much less than in most other capitalist nations. Can Australia be regarded as a role model for monetary stability? Was it's relatively sound banking system or it's more effective structure of banking regulation partly responsible for avoiding the worst excesses of the GFC, as conservative financial analysts and journalists have tended to assume? Bakir holds the Australian banking system to be the leading example of 'what went right?' during the GFC. Indeed, the sector was more resilient than virtually any other OECD nation and was spared the bank collapses that were so devastating in other nations (Lehman Brothers, Bear Sterns and Merrill Lynch in the US and HBOS, Northern Rock and Bradford & Bingley in the UK, for example). Bakir asks 'why did the Australian banks, like Canadian and Japanese banks, not take on the increased risk that led to the downfall of so many well-known institutions in the US, UK and Germany?' (p4). He argues that this is not explicable in terms of a 'varieties of capitalism' (VOC) analysis that seeks to differentiate between liberal market economies that have capital market-based financial systems ('impatient capital') and coordinated market economies that have bank-based financial systems ('patient capital'). His preferred conceptual framework emphasises 'how interdependent and dynamic processes among structures, institutions and agents affect the nature of bank behaviour, financial system resilience and institutional outcomes' (p6). He concludes that 'the key variable affecting institutional outcomes such as prudential regulation and competition regulation is domestic political economy which still continues to shape the impact and trajectory of financial globalisation. In other words, individual state regulation still matters today' (p169). …

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)0.003
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0030.007
Scholarly communication0.0090.012
Open science0.0020.005
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0200.007

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 head0.024
GPT teacher head0.274
Teacher spread0.249 · 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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