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This paper aims to inform the readers about the existing financial intelligence tools that are being used by financial intelligence units. It tries to demonstrate, with the help of a literature review, what the limitations of these tools are and how these limitations hinder the potential of the financial intelligence tools for early detection of terrorist financing activities.

The literature review method was adopted to discuss the financial intelligence tools, their limitations and the implications of the limitations for early detection of terrorist financing activities.

It was found that although the financial intelligence tools were introduced with a view to detect terrorist financing activities early, there are some inherent limitations of the tools relating to technical design features and operational procedures that hinder early detection of terrorist financing activities.

The existing financial intelligence tools need to be repaired by removing the inherent limitations of the tools.

The financial intelligence units should take into cognizance the importance of early detection of terrorist financing activities for preventing terrorist attacks and need to redesign the existing tools in such a way that make these tools effective for early detection of terrorist financing activities.

Peace will be established in society by preventing terrorist attacks through early detection of terrorist financing activities.

The originality of the paper lies in identifying the limitations of the existing financial intelligence tools for the early detection of terrorist financing activities.

This paper aims to inform the readers about the preferred type of financial intelligence for early detection of terrorist financing activities.

Literature review methodology was adopted to find the existing approaches of financial intelligence and logical reasoning was applied to sort out what type of financial intelligence is more preferable for early detection of terrorist financing activities.

It was found that proactive financial intelligence executed through financial intelligence tools is the most preferred type of financial intelligence for early detection of terrorist financing activities.

The research will pave the way for further research on how to design financial intelligence tools for the early detection of terrorist financing activities.

The financial intelligence units will use the preferred type of financial intelligence for the early detection of terrorist financing activities.

It will help to establish peace in the society by thwarting terrorist conspiracies because early detection of terrorist financing through financial intelligence tools will stop the flow of funds to and from terrorists.

The originality of the paper lies in distinguishing proactive financial intelligence from reactive financial intelligence.

This study aims to examine how important the countering terrorism financing is in the fight against terrorism and to what extent does financial intelligence contribute into this field.

To this end, to collect data, semi-structured interview method was conducted for 15 experts, including academicians, judges, security and intelligence officers who have specialised and been practising in the field of terrorism. Then, the data were analysed with the descriptive and systematic method.

The findings highlight that countering terrorism financing is indispensable in the scope of the combating terrorism; however, there are still much to be done in practice to achieve more success in this field. The results also suggest that the process requires more flexible and proactive approach with the help of an autonomous financial intelligence unit to be more efficient. Moreover, there must be better cooperation and coordination at both national and international levels. Furthermore, training more professionals from multidisciplinary backgrounds and raising awareness among the public and private sectors are found to be other key factors for effective combating of the system.

The research has been conducted on participants who mostly have been in fight against terrorism over 20 years who are aware of the early methods, as well as the recent ones both in theory and in practice. Their view is significant to understand the situation in combating financing of terrorism.

There is strong excitement during Ponzi schemes and financial bubble periods. This emotion causes investors to turn to “unknown and new investment instruments”. This study, the factors that made “unknown and new investment instruments” preferable to “known and experienced investment instruments” were investigated.

It was taken into account unconscious like phantasy, emotional like emotional intelligence, both affective and cognitive like financial literacy and subjective beliefs like trust and overconfidence. In addition, risk preferences were measured with four different risk variables. In this context, data were collected by online survey method between November 2020 and May 2021 with convenience sampling. First, the data were collected from 832 participants in the pilot study. Additional data were also collected using convenience sampling and online surveys, and a total of 1,692 participants were obtained. Data were analyzed using Statistical Package for the Social Sciences (SPSS) 25 and AMOS 24.

As a result of the analyses made, the variables that lead investors to choose “unknown and new investment instruments” were determined as risky investment intention, phantasy, risk taking/risk avoidance, confidence, risk tolerance and subjective financial literacy. Trust and risk perception have a very weak effect on preferences. However, no effect of emotional intelligence and objective financial literacy was detected. In addition, a moderately positive and significant relationship was found between objective and subjective financial literacy. Subjective financial literacy was found to have a strong and significant relationship with emotional intelligence, confidence, trust, risky investment intention and phantasy.

This study investigates the factors underlying individuals' investment preferences from a broad perspective. We think that this study is unique in this structure and wide variables. We believe that the findings obtained in this manner are unique to both academics and practitioners. We also believe that the findings of the study will make an important contribution to understanding participation behavior in various Ponzi schemes and financial bubbles.

The purpose of the article is to analyze the notion of “financial intelligence (monitoring)” in the system of combating money laundering and compare foreign financial intelligence units. Money laundering poses a systemic risk to the financial and economic spheres, as well as to the national security of all countries. Financial monitoring should be pointed out while analyzing the issue of overcoming and preventing money laundering. It serves as one of the most sovereign remedies in the system of counteracting money laundering to minimize and effectively combat organized criminality and money laundering. The high level of development of the shadow economy, corruption, ineffectiveness of regulatory and legal support, as well as duplication of functions of individual authorities have become prerequisites for the financial monitoring system formation.

The theoretical and legal principles of financial monitoring in the system of counteraction to money laundering using the system-structural method were analyzed. The application of this method allowed to systematize the basic provisions on financial monitoring and the principles of its implementation. The system-structural method was used combining with the method of terminological analysis and operationalization of concepts. This method was used to identify key problematic aspects of understanding the financial monitoring essence, the peculiarities of the scientific community views on the definition of “financial intelligence,” “financial intelligence unit.” The method of analysis and synthesis in their systemic combination, as well as the ascent from the abstract to the concrete, was directly used to determine the impact of money laundering on the financial and economic security of Ukraine in the context of globalization. The extrapolation method was used to determine the possibility of implementing the analyzed existing world experience in the domestic practice of financial monitoring as an effective way to combat money laundering. The method of creating a theory was used to generalize the results of the research, to find general patterns for the objects being studied. The comparative method was used for comprehensive comparative research.

The development of money laundering and terrorist financing is one of the main challenges facing each state in the context of financial globalization. This is because the owners of untaxed income are trying to give them a lawful origin. The so-termed “criminal proceeds” pose a threat not only to the economy of any state but also to the national system. In turn, the low level of the financial system controlling instrument is conducive to the accelerated criminally obtained income transfer, which leads to the development of the shadow economy.

The authors recognized the most appropriate interpretation of the term “money laundering.” This is the process of transforming illegally obtained income into legal, ie legal income. The purpose of such a transformation is to conceal the original source of “criminal proceeds” and eliminate their traces. However, it should also be emphasized that the term “money laundering” also applies to such financial transactions that form a certain asset as a result of “criminal acts” (in particular, corruption).

This paper aims to examine the probable effect of the General Data Protection Regulation of the European Union on the transfer of financial intelligence to a third country without an adequacy decision.

This is an analytical study of the financial intelligence exchange mechanisms between the Bangladesh Financial Intelligence Unit (BFIU) and its foreign counterparts. The research analyses the key challenges this national agency faces in using the Egmont Group membership to import financial intelligence from jurisdictions with a superior data protection regime.

Membership in the Egmont Group of Financial Intelligence Units does not guarantee unrestricted international intelligence exchange. Existing data protection regulations in Bangladesh are inadequate. This may forbid the transfer of the financial intelligence linked to European Union (EU) data subjects to Bangladesh.

This paper does not cover a thorough discussion on any specific alternative tools for data transfer from the EU to a third country except for “appropriate safeguards” options.

The results of this study will help understand the existing legal and institutional limitations that may prevent intelligence exchange between the BFIU and its EU counterparts.

The study helps ascertain the legislative reform necessary in Bangladesh, a third country, to facilitate the transfer of financial intelligence from the EU.

This study examines the effects of financial literacy and financial risk tolerance on investor behavior by introducing social stigma as a mediator and emotional intelligence as a moderating factor.

Data is collected from 761 financially independent individual investors, with a minimum age of 25 years, a minimum of five years of stock market experience and residing in five selected major Indian cities. The collected data is subsequently analyzed using SmartPLS. Homogeneous purposive sampling followed by snowball sampling was employed.

The findings of the study demonstrate a strong and noteworthy impact of financial literacy on investor behavior. The research reveals that social stigma acts as a partial mediator and emotional intelligence plays a significant moderator with direct effects and indirect effects between financial literacy, financial risk tolerance, social stigma and investor behavior.

Exploring emotional intelligence in financial decisions enriches academic programs by integrating it into financial education. Collaboration between academia and financial institutions yields practical tools, infusing emotional intelligence into services. This prompts systemic shifts, reshaping education and societal discourse, fostering inclusive, emotionally intelligent financial landscapes, aiming to redefine both academic teachings and real-world financial practices.

Integrating emotional intelligence into government-led financial literacy programs can transform societal perspectives on financial decision-making. Customized services, destigmatizing workshops and collaborative efforts with academia foster an emotionally intelligent financial landscape, reshaping traditional paradigms.

Promoting open societal discussions about finances combats stigma, fostering a supportive space for risk-taking. Emphasizing emotional intelligence in awareness campaigns cultivates inclusivity and confidence. Normalizing financial talks empowers individuals, enhancing their well-being. Elevating both financial literacy and emotional intelligence enhances overall financial health, nurturing a community adept at navigating financial journeys.

This study marks a notable contribution to behavioral finance and social stigma theory by examining their intersection with emotional intelligence. It uniquely introduces social stigma as a mediator and emotional intelligence as a moderator, unexplored in this context. This novelty underscores the research’s significance, offering practical insights into financial well-being.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2023-0626

This chapter reviews traditional intelligence work, primarily how intelligence was perceived and conducted in the industrial economy. The review includes economic sectors with dedicated intelligence functions such as military, law enforcement, and national security. The review also includes secondary intelligence work in all other economic sectors. Looking across all these examples, the authors present a traditional life cycle model of intelligence work and highlight this traditional view of intelligence’s tactical and reactive approach. The chapter details the historical evolution and common intelligence elements in military, business, law enforcement, judicial forensics, national security, market, financial, medical, digital, and computer forensics.

The purpose of this paper is to examine the effectiveness of the Financial Intelligence Unit (FIU) of Bangladesh and India in efforts of combating money laundering by these countries through a comparative assessment of several aspects of both FIUs.

The two FIUs are compared by using a “multiple case design” method of assessment. The framework for assessment was developed following the earlier models developed by scholars and recommendations of international institutions working on money laundering. Publicly available information from the respective websites of FIUs and annual reports has been used to complete the study.

The study has found that FIUs of both countries have improved significantly in fulfilling their mandates. There are several commonalities and differences between the two agencies. Despite showing improvement in several respects, both countries need to address certain basic deficiencies of the existing framework to make the agencies more effective.

It is supposed that this study will assist both countries to transform their existing FIUs to robust agencies in anti-money laundering efforts by taking care of the weaknesses identified here. It is hoped that the present study will encourage similar studies regarding the problematic areas of FIUs of Bangladesh and India as identified and in respect of FIUs of other countries.

The purpose of this paper is to share research data from the Financial Intelligence sector on trade-based money laundering (TBML), as a way to better inform banking risk assessment and the submission of suspicious activity reports (SARs).

The research data formed part of a bigger project on TBML banking risk assessment for improving the detection of TBML activity. This paper analysed the data from an online survey carried out among the financial intelligence staff from financial intelligence units (FIUs) and some external financial intelligence agencies. The aim was to determine which areas of banking SARs needed to be improved or enhanced to support FIU investigations.

The research found that FIUs do use the data supplied to them, in particular the SARs. The research also found that more data would be appreciated from banks especially in relation to beneficial ownership information and politically exposed persons data. The findings highlighted that contact between banks and FIUs was limited and restricted to a couple of key individuals, whereas the increased requirement for intelligence and more data would suggest that this relationship needs to be expanded and strengthened.

The main limitation was the restricted scope of the survey (only focussed on TBML) and was broad in depth, and perhaps a local FIU survey would be useful to look at specific country recommendations. Similar research also needs to be conducted on other forms of ML activity. The research identified the need for more information on beneficial ownership information; however, other work needs to be done on how exactly banks can access this data.

The main outcome from the research was the need for SARs to contain more detailed information on beneficial ownership and politically exposed persons data. This needs to be incorporated into a specific risk assessment tool for TBML that considers not only the client but also relevant business partners and silent partners/shell companies used by the client. This research is part of a bigger research project that has developed a risk matrix tool for TBML and can be linked into this work.

The paper used original data collected by the researcher from 49 FIU and financial intelligence staff across the globe. The timely presentation of the results and the nature of the sample means that this is relevant and useful data to be presented to the banking sector.