A Supply Chain Theory of Factoring and Reverse Factoring

2021 ◽  
Author(s):  
Panos Kouvelis ◽  
Fasheng Xu

Factoring is a financial arrangement where the supplier sells accounts receivable to the factor against a premium and receives cash for immediate working capital needs. Reverse factoring takes advantage of the retailer’s payment guarantee and the credit rating differential between a small supplier and a large retailer, enabling the supplier to receive financing at a more favorable rate. We develop a supply chain theory of (recourse/non-recourse) factoring and reverse factoring showing when these post-shipment financing schemes should be adopted and who really benefits from the adoption. We find that recourse factoring is preferred when the supplier’s credit rating is relatively high, whereas non-recourse factoring is preferred within certain medium range of ratings. Both factoring schemes, if adopted, benefit both the supplier and the retailer, and thus the overall supply chain. Further, we find that reverse factoring may not always be preferred by suppliers compared to recourse and non-recourse factorings. Retailers should only offer reverse factoring to suppliers with low (but above a threshold) to medium credit ratings. The optimally designed reverse factoring program can always increase the retailer’s profit, but it may leave the supplier indifferent to the current factoring option when followed by an aggressive payment extension. More importantly, contrary to conventional wisdom, our theory implies that reverse factoring could be adopted even when the retailer has no credit rating advantage over the supplier, and it could benefit the retailer even without extending payment terms. This paper was accepted by Victor Martínez-de-Albéniz, operations management.

2019 ◽  
Vol 9 (1) ◽  
pp. 103-125 ◽  
Author(s):  
Hanen Moalla ◽  
Rahma Baili

Purpose The purpose of this paper is to examine whether credit ratings issued by Fitch predict auditor’s opinion for the Tunisian financial companies. It studies the association between Fitch’s credit rating and the audit opinion. Design/methodology/approach The whole population was analyzed. It is composed of 35 banks, leasing companies and factoring companies in Tunisia. The hand-collected data over 11 years (2005–2015) were used and a multiple-ordered logistic regression was performed. Findings The findings show that firms with a high short-term grade, a high long-term grade or a positive outlook are more likely to receive an unqualified audit opinion. In addition, companies with a stable outlook are more likely to receive an explanatory paragraph, a qualification or a going-concern opinion. Originality/value Studies examining the relationship between credit ratings and audit opinion are rare. This piece of research adds to knowledge about the relationship between different components of agency ratings and the auditor’s opinion in a developing country. Previous studies have investigated the case of developed countries and have been interested in the only impact of the long-term credit rating. This study analyzes three components of credit rating, namely long-term credit rating, short-term credit rating and rating outlook. In addition, it sheds light on the effect of various rating grades issued by rating agencies on the audit opinion. It gives a broader view of the relationship between credit ratings and audit opinion.


2014 ◽  
Vol 90 (2) ◽  
pp. 641-674 ◽  
Author(s):  
Pepa Kraft

ABSTRACT I examine a dataset of both quantitative (hard) adjustments to firms' reported U.S. GAAP financial statement numbers and qualitative (soft) adjustments to firms' credit ratings that Moody's develops and uses in its credit rating process. I first document differences between firms' reported and Moody's adjusted numbers that are both large and frequent across firms. For example, primarily because of upward adjustments to interest expense and debt attributable to firms' off-balance sheet debt, on average, adjusted coverage (cash flow-to-debt) ratios are 27 percent (8 percent) lower and adjusted leverage ratios are 70 percent higher than the corresponding U.S. GAAP ratios. I then find that Moody's hard and soft rating adjustments are associated with significantly higher credit spreads and flatter credit spread term structures. Overall, the results indicate that Moody's quantitative adjustments to financial statement numbers and qualitative adjustments to credit ratings enable it to better capture default risk, consistent with it effectively processing both hard and soft information.


Author(s):  
Natalia Besedovsky

This chapter studies calculative risk-assessment practices in credit rating agencies. It identifies two fundamentally different methodological approaches for producing ratings, which in turn shape the respective conceptions of credit risk. The traditional approach sees ‘risk’ as an only partially calculable and predictable set of hazards that should be avoided or minimized. This approach is particularly evident in the production of country credit ratings and gives rise to ordinal rankings of risk. By contrast, structured finance rating practices conceive of ‘risk’ as both fully calculable and controllable; they construct cardinal measures of risk by assuming that ontological uncertainty does not exist and that models can capture all possible events in a probabilistic manner. This assumption—that uncertainty can be turned into measurable risk—is a necessary precondition for structured finance securities and has become an influential imaginary in financial markets.


Author(s):  
T. Gärtner ◽  
S. Kaniovski ◽  
Y. Kaniovski

AbstractAssuming a favorable or an adverse outcome for every combination of a credit class and an industry sector, a binary string, termed as a macroeconomic scenario, is considered. Given historical transition counts and a model for dependence among credit-rating migrations, a probability is assigned to each of the scenarios by maximizing a likelihood function. Applications of this distribution in financial risk analysis are suggested. Two classifications are considered: 7 non-default credit classes with 6 industry sectors and 2 non-default credit classes with 12 industry sectors. We propose a heuristic algorithm for solving the corresponding maximization problems of combinatorial complexity. Probabilities and correlations characterizing riskiness of random events involving several industry sectors and credit classes are reported.


2003 ◽  
Vol 07 (01) ◽  
pp. 43-66
Author(s):  
Arif Iqbal Rana

This case is about the Supply Chain of a pesticides producer (disguised as a hybrid seeds producer) that imported the raw material for its pesticides from its mother company in Switzerland, formulated and packed it in Karachi, and sold it throughout Pakistan. The company had two large warehouses in the country, many regional ware-houses, and a chain of retail outlets throughout the country. The company had been steadily losing market share to cheaper "generics" in the last 15 years. The company had also changed hands a few times in the last ten years and had been under pressure to reduce working capital requirements. The case looks at the typical challenges in supply chain management.


2011 ◽  
Vol 15 (3) ◽  
pp. 71-88 ◽  
Author(s):  
Meryem Bellouma

Working capital is an important component in the financial decision of the company. An optimal working capital management is reached through a trade off between profitability and liquidity. This study aims to provide empirical evidence about the effects of working capital management on the profitability of 386 Tunisian export SMEs observed from 2001 to 2008. The results of fixed and random effects models show a negative relationship between corporate profitability and the different working capital components. This reveals that Tunisian export SMEs should shorten their cash conversion cycle by reducing the number of days of accounts receivable and inventories to increase their profitability.


Author(s):  
Heba Mohamed Adel

The purpose of this article is to use strategy mapping (SM) and balanced scorecard (BSC) in portraying and assessing green entrepreneurial supply chain management (GESCM) performance of a vertically integrated entrepreneurial supply chain in an Egyptian emerging market of organic beverages industry. Based on thematic literature review and qualitative research (in-depth interviews with experts, focus groups, observations, and reports’ analysis), multi-item measurement quantitative BSC scale and strategy map were proposed to measure and communicate the GESCM performance of a hierarchical chain with multiple nodes and cross-functional green practices. This article conceptually contributes to the active debate on contemporary GESCM performance measurement. It integrates the literature of green production and operations management, strategic management and entrepreneurial supply chain management (ESCM) to investigate the unexplored context of GESCM research. It empirically assesses GESCM performance of an attractive network using BSC and maps its strategy with its multidisciplinary environment-friendly practices. The GESCM performance was measured in terms of four integrated perspectives (innovative and proactive processes, learning and growth, financial gains and supply chain stakeholders’ delight). Results showed that BSC and SM are effective and efficient tools in managing the performance of a successful GESC in an emerging market. Royal Herbs’ BSC key performance indicators (KPIs), which were used in assessing a GESCM strategy, indicate improvements along the BSC’s four perspectives. Results give green entrepreneurs/manufacturers in an emerging market as Egypt a comprehensive view on how they can effectively assess/improve their GESCM performance. It draws attention to the importance of investing in GESCM practices for maintaining sustainable development in a clean business environment. It helps practitioners, academics and policymakers in Egypt to bridge the gap between theory and practice regarding GESCM performance. From an interdisciplinary perspective, it provides insights on improving the ESCM performance of the industry without harming its natural environment.


Sign in / Sign up

Export Citation Format

Share Document