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The purpose of this paper is to discuss the compliance with the regulatory-driven changes to collateral management and OIS discounting indicating operational and technological challenges faced by global investment banks. As it transpires, collateral management strategies need to be revised to find optimal solutions for the regulatory-driven landscape. Furthermore, set against the regulatory background, this report tests the reliability of OIS discounting and current trends in interbank lending, as well as emergent issues with CSAs.

This paper is based on an exploratory, qualitative approach to investigate the regulatory-driven collateral management landscape.

The new regulatory framework was viewed by the surveyed banks as a factor influencing strategic planning and operations within collateral management. All surveyed banks pointed to the increased regulatory reporting. The interviewed banks highlighted inconsistencies in implementing the new regulatory framework across different countries. With reference to the positive factors influencing collateral management, the responses were mixed and depended on bank-specific opportunities spotted in the new collateral management landscape. According to the surveyed banks, complying with the new regulations has no pronounced impact on the liquidity. The financial scandals undermined the credibility of the LIBOR rate-setting processes and prompted changes to the regulatory framework in the banking sector. Against this backdrop, the interviewed banks considered various alternatives to LIBOR, often beyond the OIS rates. The departure from LIBOR entails operational challenges faced by the participating banks. Surprisingly, the factors that pushed the interviewed banks to OIS discounting were not linked to the regulatory change or reliability of OIS rates but general market trends that emerged in the aftermath of the global financial crisis.

The paper contributes to the widespread, albeit complex, discussion on how banks adapt to the rapidly changing environment in collateral management and risk operations.

The aim of this paper is to discuss the impact of regulatory-driven changes to the collateral management landscape, indicating operational and technological challenges faced by global investment banks while complying with the new regulatory framework. As it transpires, collateral management strategies need to be revised to find optimal solutions for the regulatory-shaped landscape. Furthermore, set against the regulatory background, this paper attempts to provide some insights into the future risks and shocks to collateral management.

This paper recognizes the dearth of up-to-date studies on current issues with collateral management and overnight indexed swap (OIS) discounting. Therefore, to introduce new theoretical avenues, this paper is based on an exploratory, qualitative approach to analyse the regulatory-driven collateral management.

The increased use of collateral, with a sharp focus on its quality, liquidity and eligibility for central clearing, requires a new approach to collateral management and discounting methods. At this point, banks (especially those with agency businesses) should develop an enterprise-wide view of collateral by having a central data repository, which allows access to information about the transactions conducted with all counterparties.

Analysing the regulatory-driven (Basel III; Dodd-Frank; EMIR) changes to collateral management, this paper adopts banks’ perspectives on the new regulations in collateral management. The paper contributes to the widespread, albeit complex, discussion on how banks adapt to the rapidly changing environment in collateral management and risk operations.

Over the last ten years (2010–2019), the amount of nonperforming loans (NPLs) has been more than tripled in the banking industry of Bangladesh. Thus, this paper explores the behavioral dimensions, which contribute to the NPLs.

By analyzing social, cultural, psychological, political, economic, internal control mechanism and law enforcement contexts of Bangladesh, this study identifies nepotism (NE), moral hazard (MH ), inadequate collateral (IC), poor credit assessment (CA), lack of proper monitoring (LPM), repayment flexibility (RF), business risk (BR) and lending interest rate (LIR) as the catalysts of raising NPLs. Next, a structured questionnaire survey has been performed in Bangladesh among bank officials who closely work in credit risk management, credit supervision, corporate finance and loan recovery department. Finally, partial least squares (PLS) path modeling, a variance-based technique of structural equation modeling, is used in this study as a statistical tool to analyze the data.

This study finds that moral hazard problem, lack of proper monitoring, inadequate collateral and nepotism have significant positive impact on the raising of NPLs. Unfortunately, this study does not find any statistical significance of poor credit assessment, business risk and repayment flexibility on the NPLs in Bangladesh. Finally, this study reveals that lending interest rate has significant positive impact on the NPLs. Hence, this study concludes that domestic lending interest rate is not lower enough, and so this double-digit interest rate affects negatively to loan repayment.

This study concludes that moral hazard problem of borrower, lack of board independence, lack of proper monitoring, form and extent of collateral, management lobbying, indecorous personal guarantee by management, dependent-independent directors and nepotism are extensively contributing for occurring NPLs in Bangladesh. These noninstitutionalized stimulators should adequately be scrutinized by regulatory bodies, policy makers and banks. Besides, LIR needs to be decreased in a convenient level for mitigating NPLs.

This study is the empirical evidence of behavioral dimensions related with the growth of NPLs in Bangladesh by taking direct response from knowledgeable bankers.

The use of risk proxies in internal models remains a popular modelling solution. However, there is some risk that a proxy may not constitute an adequate representation of the underlying asset in terms of capturing tail risk. Therefore, using empirical examples for the financial collateral haircut model, this paper aims to critically review available statistical tools for measuring the adequacy of capturing tail risk by proxies used in the internal risk models of banks. In doing so, this paper advises on the most appropriate solutions for validating risk proxies.

This paper reviews statistical tools used to validate if the equity index/fund benchmark are proxies that adequately represent tail risk in the returns on an individual asset (equity/fund). The following statistical tools for comparing return distributions of the proxies and the portfolio items are discussed: the two-sample Kolmogorov–Smirnov test, the spillover test and the Harrell’s C test.

Upon the empirical review of the available statistical tools, this paper suggests using the two-sample Kolmogorov–Smirnov test to validate the adequacy of capturing tail risk by the assigned proxy and the Harrell’s C test to capture the discriminatory power of the proxy-based collateral haircuts models. This paper also suggests a tool that compares the reactions of risk proxies to tail events to verify possible underestimation of risk in times of significant stress.

The current regulations require banks to prove that the modelled proxies are representative of the real price observations without underestimation of tail risk and asset price volatility. This paper shows how to validate proxy-based financial collateral haircuts models.

The purpose of this paper is to examine the factors influencing Indonesian farmers’ use of the warehouse receipt system (WRS) and their choice of private and public warehouses.

Primary data were collected through questionnaires administered to 500 farmers in two districts, Subang and Cianjur, in West Java Province in Indonesia. Binary logit regression was employed to examine the factors influencing farmers’ use of the WRS. Binary and bivariate probit regressions were employed to determine the factors influencing farmers’ choice of private and public warehouses.

The empirical results of the binary logit regression revealed that age, land ownership, selling price, the use of the warehouse receipt as collateral security and the availability of transportation facility positively influenced farmers’ use of the WRS, whereas education, income, farm profit and participation in farmers’ group negatively influenced farmers’ use of the WRS. The results of the binary probit regressions revealed that profit, availability of insurance and processing facility positively influenced the farmers’ decision to use the private WRS, whereas education, production, selling price and distance from the farm to the warehouse negatively influenced farmers’ decision to use the private WRS. Age, education, selling price and distance from the farm to the warehouse positively influenced the farmers’ decision to use the public WRS, whereas production and availability of processing facility negatively influenced the decision of farmers to use the public WRS.

This study highlights the importance of education and government assistance regarding the provision of facilities and price indemnified insurance for successful implementation of the WRS.

This study provides an empirical contribution to the existing literature on the development of WRS in Indonesia. In terms of methods of analysis, previous studies used purely qualitative and descriptive methods, whereas this study employed econometric techniques (i.e. binary logit, binary probit and bivariate probit regressions) to examine the WRS in Indonesia. In addition, whereas previous studies explored the WRS in general, this study investigated the farmers’ use of the public and private warehouses in addition to exploring the WRS in general. Finally, the finding that the average annual profit of non-users was significantly higher than that of the users of the WRS is striking, and this could be attributed to the current challenges of the implementation of the WRS, including high transportation and warehouse rental costs.

The purpose of this paper is to show a creative way to fulfill financing needs of entities involved in pre‐ and post‐harvest production activities in extreme cases while mitigating inherent risks by Islamic structured trade finance from the real‐life case of cotton production in Burkina Faso.

The existing Islamic structured finance design for SOFITEX was analyzed in details so as to provide clear understanding of the subject matter. This structure was evaluated and a new design is proposed to better accommodate the financing need of SOFITEX.

There are some inherent drawbacks, explained in details, of the existing Islamic finance structure. Salam contract for pre‐harvest input financing in favor of farmers can, unlike existing structure, accommodate the complete supply chain financing solution, hence, support the whole production cycle from input procurement to the exports of cotton fiber. That is, it fits better for financing the agricultural sector.

The case and the structure studied in depth are limited to the cotton sector. This could be widened in subsequent researches.

Islamic finance instruments provide us enough room to fulfill financing needs in extreme cases as a better alternative to conventional financing tools. A method of mark‐up calculation for structured cotton trade finance is developed for Murabaha and Salam contracts.

The paper sheds new light on how to finance the agricultural sector starting from input procurement to the sale/export by Islamic finance instruments. It also shows how to get guarantees in the form of commodities in warehouse rather than bank guarantees, mortgage, sovereign guarantees, etc.

Kunvarji Group is on its way to transform from a commodity trading business to a service-driven business. To become an integrated service provider in the agri-supply chain, Kunvarji is by participating actively in procurement, trading, and now eyeing options for providing agri-storage services. Their dilemma reeled around the choice of storage that should be preferred for better returns: warehouse, cold storage, or silos? What should be Kunvarji's growth strategy?

The purpose of this paper is to provide a detailed analysis of industry loss warranties (ILWs), an alternative risk transfer instrument which has become increasingly popular throughout the last few years.

The authors first point out key characteristics of ILWs important to investor and cedent, including transaction costs, moral hazard, basis risk, counterparty risk, industry loss index, and regulation. Next, the authors present and discuss the adequacy of actuarial and financial approaches for pricing ILWs, as well as the aspects of basis risk. Finally, drivers of demand and associated models frameworks from the purchaser's viewpoint are studied.

Financial pricing approaches for ILWs are highly sensitive to input parameters, which is important given the high volatility of the underlying loss index. In addition, the underlying assumption of replicability of the claims is not without problems. Due to their simple and standardized structure and the dependence on a transparent industry loss index, ILWs are low‐barrier products, which can also be offered by hedge funds. In principle, traditional reinsurance contracts are still preferred as a measure of risk transfer, especially since these are widely accepted for solvency capital reduction. However, the main important impact factor for the demand of ILWs from the perspective of market participants, i.e. large diversified reinsurers and hedge funds, is the lower price due to rather low transaction costs and less documentation effort. Hence, ILWs are attractive despite the introduction of basis risk and the still somewhat opaque regulatory environment.

An important issue for future research is how reinsureds deal with the basis risk inherent in ILWs. Another central point is the development of a European industry loss index and the creation of an exchange platform to enable an even higher degree of standardization and a faster processing of transactions.

ILWs feature an industry loss index to be triggered, and, in some cases, a double‐trigger design that includes a company indemnity trigger. ILW contracts belong to the class of alternative risk transfer instruments that have become increasingly popular, especially in the retrocession reinsurance market. There has been no comprehensive analysis of these instruments in academic literature to date. Consequently, the authors believe that this paper provides a high degree of originality.

In 2022, US financial regulators proposed to mandate a single central clearing mechanism for treasury bonds and repo transactions to stabilize financial markets. The systemic risks inherent in repo markets were first highlighted by the global financial crisis and, as a response, global financial authorities such as the Financial Stability Board (FSB) and Bank for International Settlements (BIS) have advocated for the introduction of a central counterparty (CCP). This study examines the structural characteristics of Korean repo markets and proposes the introduction of CCPs as a way to mitigate systemic risk. To this end, the author analyzes the structural differences between US and European repo markets and estimates the potential consequences of introducing CCP clearing in local repo markets. In general, CCPs offer two benefits: they can reduce required capital through netting in multilateral transactions, and they can mitigate the effects of risk transfer by isolating counterparty risk during periods of turbulence. In Korea, the latter effect is expected to play a pivotal role in mitigating potential risks.