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Underground Banking: Legitimate Remittance Network or Money Laundering System?

2005· article· en· W25819908 on OpenAlexaboutno aff
Rob McCusker

Bibliographic record

VenueTrends and issues in crime and criminal justice · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Illicit Activities, and Governance
Canadian institutionsnot available
FundersNational Institute of Diabetes and Digestive and Kidney Diseases
KeywordsMoney launderingRemittanceBusinessMobile bankingRetail bankingInformal sectorFinancial systemCommerceFinanceEconomicsEconomic growthMarketing

Abstract

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Underground banking, where money is transferred through informal rather than formal banking sectors, is a recognised method by which legitimate remittances from overseas workers are routinely transferred. However, underground banking has also long been regarded as a conduit for money laundering by criminal organisations and arguably by terrorist networks. It is important to achieve a balance between regulating the underground banking sector in an attempt to reduce the flow of illicit funds, and permitting its continued use as a legitimate, alternative remittance system. This paper provides policy makers and others with an interest in underground banking matters with a concise overview of how underground banking systems work, along with the potential associated with such systems for criminal activity and the various regulatory responses that governments have employed to date. Toni Makkai Director Definition Underground banking is a generic term used to describe any informal banking arrangements which run parallel to, but generally independent of, the formal banking system. Underground banking systems are also referred to as alternative remittance systems (FATF 1999), informal funds transfer systems (World Bank & IMF 2003) and informal value transfer systems (FinCEN 2003). Particular types of underground banking systems are also used to describe the underground banking process. These include hawala (India), hundi (Pakistan) and fei chien (China) (Passas 1999). Underground banking takes place in many parts of the world ranging from Hong Kong and Paraguay to Canada and Nepal (Passas 1999). The combination of the geographic diversity and varied typology of underground banking systems makes them attractive for illegal activities and difficult for regulators to control. Process Whatever term is used, the basic principle of underground banking remains the same - it involves the transfer of the value of currency without necessarily physically relocating It. Atypical hawala procedure serves to illustrate the basic process (Figure 1). Value may be transferred to and from both jurisdictions. In either case, the hawaladars need to be paid for their services. Hawaladars may utilise a range of settlement methods (Secretary of US Department of Treasury 2002) but those commonly used include under- and over-invoicing (Figures 2 and 3). Context Underground banking predates the formal banking system. Chinese funds transfer systems, for example, were in evidence during the Tang Dynasty (618-907 AD) (Wucker 2004) and that historical longevity alone makes the continued use of underground banking unsurprising. Underground banking is a rational choice for the transfer of money because it has the same structure and operational characteristics as the formal banking sector without any of its attendant bureaucracy or external regulatory scrutiny (Wilson 2002). Globalisation has created demand for a cheap and mobile labour force and there is often a cultural expectation that members of that labour force will dispatch a proportion of their earnings to their families in their home countries (Passas 1999). In 2002, US$80 billion was remitted through the formal banking sector by workers from developing countries (Sander 2003), constituting the second largest capital inflow to developing countries behind foreign direct investment (Ratha 2003). Allowing for unreported and informal remittance flows, the total remittance figure might be in the order of US$200 billion per annum (Sander 2003). Although the total level of funds is significant, it usually comprises a large number of small transactions which the formal financial sector does not generally facilitate (Buencamino & Gorbunov 2002). The economic situation of the workers and their families makes it necessary for earnings to be dispatched rapidly, efficiently and as cheaply as possible. Advantages Underground banking transactions in the hawala system require no identification from either the remitter or receiver of the funds save for the exchange (via telephone, fax or similar) of a simple password between the remitter and recipient of the funds. …

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.602
Threshold uncertainty score0.808

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 studies0.0010.000
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 head0.048
GPT teacher head0.345
Teacher spread0.297 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations32
Published2005
Admission routes1
Has abstractyes

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