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DYNAMICS OF MAIN INDICATORS OF THE CANADIAN BANKING SYSTEM

2020· article· en· W3047664707 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

VenueBaltic Journal of Economic Studies · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Systems and Logistics Management
Canadian institutionsnot available
Fundersnot available
KeywordsFinancial crisisGovernment (linguistics)Profitability indexFinancial systemQuality (philosophy)LoanBusinessRelevance (law)PortfolioRetail bankingEconomicsFinanceAccountingMacroeconomicsPolitical science

Abstract

fetched live from OpenAlex

Relevance of research. During the global financial collapse of 2008–2009, Canadian banks demonstrated stability and vastly avoided the international crisis. There was a view that Canada’s banking system was strict and overly risk-oriented, but after the crisis, it was recognized as logical in terms of lending, which required careful government supervision and regulation based on the principles of security and reliability. In fact, the World Economic Forum recognizes Canadian banks as the most stable in the world. So, all mentioned above prompted us to study the dynamics of the main indicators of the Canadian banking system. The aim of the study is to summarize and characterize the existing trends of banking system evolution in Canada. Methodological basis of the study is based on the analysis of the study of the Canadian banking system according to the indicators of the number of banking institutions, their profitability / loss, the quality of the loan portfolio and analysis of the largest banks in the country. A systemic analysis of the quantitative and qualitative composition of the above-mentioned banking indicators, synthesis and generalization were used to generalize and formulate conclusions. Scientific results. This article is devoted to the study of the dynamics of the main indicators of the Canadian banking system during the period from 2000 to 2019 inclusively. It is argued that the number of commercial banks has had a positive dynamics during the analyzed period, even the period of the global financial crisis of 2008-2009 has not reduced their number, which indicates the stability and prudent policy of commercial banks and the Central Bank as a whole. It has been established that 2019 is the year of the historical maximum assets of the Canadian banking system (more than 277% of Canada’s GDP). It is shown that the assets of eight largest banks in Canada account for 91% of the total assets of the banking sector. A record decline in the bank’s profits was recorded in 2009. The quality of the loan portfolio of commercial banks in Canada since 2009 shows a significant decrease in the share of outstanding loans. The practical significance of the study is to rate the strengths and weaknesses of the Canadian banking system. Significance / originality. The results achieved form an integrated view of the functioning of the Canadian banking system. The following studies will focus on methods and models for verifying the stability of banking systems, including the Canadian banking system.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score0.892

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.050
GPT teacher head0.229
Teacher spread0.180 · 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