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Journal articles on the topic 'Structured finance'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 January 2023

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1

Salgar, Dr Rajkumar B. "Structured Finance: Some Issues." International Journal of Scientific Research 1, no. 7 (2012): 13–15. http://dx.doi.org/10.15373/22778179/dec2012/6.

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2

Suták, Péter. "Structured commodity finance." Applied Studies in Agribusiness and Commerce 6, no. 5 (2012): 77–83. http://dx.doi.org/10.19041/apstract/2012/5/13.

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Over the past years, the financial stock market – providing the capital demand that is the result of stockpiling and the characteristic strong seasonality observed in the agricultural sector – has increasingly grown and become more “used” by market participants. Its size had reached an annual value of 200 billion HUF, of which agricultural products had received the largest proportion through the various market participants (producers, integrators, traders, feed producers, mills). In the meantime, this market had become part of the competition between the commercial banks that are the largest financers of the sector, due to which the financing credit institutions had undertaken increasing risk levels, with respect to both degree of financing and the VAT financing related to stockholding. The practice of commodity financing by banks display a rather varied picture at present. Considering the exceptional degree of fall in prices and the actions of companies totally disregarding business ethics in 2008, it seems necessary to reveal the full scope of risks inherent in commodity financing. The primary aim of such an exercise is to ensure the prudent operation of refinancing activities for commercial banks. The inherent risks in trade financing – as has been proven by the experiences of previous years – are not found primarily in the goods themselves, but rather at the actual storage facility and also emerge in relation to clients, as well as the inadequate and ineffective risk management of price volatility by the financers. Therefore, the establishment of banking risk management and risk prevention techniques, including the development of new financing procedures become indispensable, minimizing all types of risks that had emerged in previous years.

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3

Guo, Zhengyan. "Derivatives and Personal Finance: Structured Financial Products." Frontiers in Business, Economics and Management 5, no. 2 (2022): 188–91. http://dx.doi.org/10.54097/fbem.v5i2.1764.

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In recent years, with the gradual development of interest rate liberalization, our country gradually entered the era of low interest rate. The income of all kinds of financial products can not meet investors' expectations gradually. And structured financial products as a new financial product, relies on its structural model by combining the basic financial instruments and derivative financial instruments, with its characteristics of both fixed income securities relatively safe and financial derivatives to hedge risk, the benefits of asymmetric characteristics, has become popular with investors in our financial markets products. This paper introduces the background and concept of structured financial products, in-depth analysis of the internal structure of structured financial products and product applications, and the future development prospects of this kind of financial products.

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4

Pinnock, Douglas D. "Structured Finance for Universities." Public Money and Management 24, no. 3 (2004): 183–84. http://dx.doi.org/10.1111/j.1467-9302.2004.00417.x.

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5

Ghent, Andra C., Walter N. Torous, and Rossen I. Valkanov. "Complexity in Structured Finance." Review of Economic Studies 86, no. 2 (2017): 694–722. http://dx.doi.org/10.1093/restud/rdx071.

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6

Hu, Jian, and Richard Cantor. "Structured Finance Rating Transitions." Journal of Fixed Income 13, no. 1 (2003): 7–27. http://dx.doi.org/10.3905/jfi.2003.319343.

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7

Coval, Joshua, Jakub Jurek, and Erik Stafford. "The Economics of Structured Finance." Journal of Economic Perspectives 23, no. 1 (2009): 3–25. http://dx.doi.org/10.1257/jep.23.1.3.

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This paper investigates the spectacular rise and fall of structured finance. The essence of structured finance activities is the pooling of economic assets like loans, bonds, and mortgages, and the subsequent issuance of a prioritized capital structure of claims, known as tranches, against these collateral pools. As a result of the prioritization scheme used in structuring claims, many of the manufactured tranches are far safer than the average asset in the underlying pool. This ability of structured finance to repackage risks and to create “safe” assets from otherwise risky collateral led to a dramatic expansion in the issuance of structured securities, most of which were viewed by investors to be virtually risk-free and certified as such by the rating agencies. At the core of the recent financial market crisis has been the discovery that these securities are actually far riskier than originally advertised. We examine how the process of securitization allowed trillions of dollars of risky assets to be transformed into securities that were widely considered to be safe. We highlight two features of structured finance products—the extreme fragility of their ratings to modest imprecision in evaluating underlying risks, and their exposure to systematic risks—that go a long way in explaining the spectacular rise and fall of structured finance. We conclude with an assessment of what went wrong and the relative importance of rating agency errors, investor credulity, and perverse incentives and suspect behavior on the part of issuers, rating agencies, and borrowers.

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8

Davis, Henry A. "The Definition of Structured Finance." Journal of Structured Finance 11, no. 3 (2005): 5–10. http://dx.doi.org/10.3905/jsf.2005.598316.

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9

Fons, Jerome S. "Rating Competition and Structured Finance." Journal of Structured Finance 14, no. 3 (2008): 7–15. http://dx.doi.org/10.3905/jsf.2008.14.3.007.

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10

Croke, James J., Peter C. Manbeck, Sharad A. Samy, and Nikiforos Mathews. "Structured Finance Hedge Criteria Compared." Journal of Structured Finance 14, no. 1 (2008): 39–49. http://dx.doi.org/10.3905/jsf.2008.706232.

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11

Josephson, Jens, and Joel Shapiro. "Credit ratings and structured finance." Journal of Financial Intermediation 41 (January 2020): 100816. http://dx.doi.org/10.1016/j.jfi.2019.03.003.

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12

Oldfield, George S. "The Economics of Structured Finance." Journal of Fixed Income 7, no. 2 (1997): 92–99. http://dx.doi.org/10.3905/jfi.1997.408210.

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13

Jobst, Andreas A. "A primer on structured finance." Journal of Derivatives & Hedge Funds 13, no. 3 (2007): 199–213. http://dx.doi.org/10.1057/palgrave.jdhf.1850070.

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14

Romih, Dejan. "Project Finance." Lex localis - Journal of Local Self-Government 6, no. 2 (2009): 171–81. http://dx.doi.org/10.4335/48.

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Project finance is enjoying renewed attention as a financing technique in which the lenders look primarily to the cash-flow of a project as the main source of loan reimbursement, whereas assets represent only collateral. Owing to the general misunderstanding of the terms used in respect of project finance, the purpose of the paper will be to provide clear definitions, drawing attention to different project finance transactions that can be placed on a continuum, with recourse to project sponsors ranging from non-recourse to almost complete recourse. Several characteristics of project finance will also be addressed.  KEY WORDS: • financial economics • structured finance • project finance • non-recourse and limited recourse debt • special purpose vehicle • highly leveraged capital structure

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15

Yeoh, Peter. "Structured finance: a matter of gatekeeping?" Law and Financial Markets Review 4, no. 5 (2010): 499–506. http://dx.doi.org/10.5235/175214410792930041.

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16

Sullivan, Christopher J. "Structured Finance Rating Transitions: 1983–2002." CFA Digest 34, no. 1 (2004): 32–33. http://dx.doi.org/10.2469/dig.v34.n1.1415.

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17

Vu, Joseph D. V. "Default Rates on Structured Finance Securities." CFA Digest 35, no. 2 (2005): 13–15. http://dx.doi.org/10.2469/dig.v35.n2.1656.

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18

Boral, Andrew. "The Future of Structured Finance Ratings." CFA Digest 41, no. 2 (2011): 65–66. http://dx.doi.org/10.2469/dig.v41.n2.43.

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19

Frazier, Shannon S. "Trustee Representation in Structured Finance Transactions." Journal of Structured Finance 16, no. 2 (2010): 33–36. http://dx.doi.org/10.3905/jsf.2010.16.2.033.

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20

Kotecha, Mahesh, Roy Weinberger, and Sharon Ryan. "The Future of Structured Finance Ratings." Journal of Structured Finance 16, no. 4 (2011): 28–33. http://dx.doi.org/10.3905/jsf.2011.16.4.028.

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21

Chen, Jeffrey H. "Agnosticism in Pan-Asian Structured Finance." Journal of Structured Finance 25, no. 1 (2019): 43–46. http://dx.doi.org/10.3905/jsf.2019.25.1.043.

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22

Merrill, Craig B., Taylor D. Nadauld, and Philip E. Strahan. "Final Demand for Structured Finance Securities." Management Science 65, no. 1 (2019): 390–412. http://dx.doi.org/10.1287/mnsc.2017.2827.

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23

M P, Akhil. "Structured Finance and Securitization in India." International Journal of Economics and Management Studies 5, no. 6 (2018): 26–31. http://dx.doi.org/10.14445/23939125/ijems-v5i6p104.

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24

Lucas, Douglas J., Laurie S. Goodman, and Frank J. Fabozzi. "Default Rates on Structured Finance Securities." Journal of Fixed Income 14, no. 2 (2004): 44–53. http://dx.doi.org/10.3905/jfi.2004.439836.

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25

Yeoh, Peter. "Structured finance: a matter of gatekeeping?" Law and Financial Markets Review 4, no. 5 (2010): 499–506. http://dx.doi.org/10.1080/17521440.2010.11428145.

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26

MARTIN, ANTOINE, and BRUNO M. PARIGI. "Bank Capital Regulation and Structured Finance." Journal of Money, Credit and Banking 45, no. 1 (2013): 87–119. http://dx.doi.org/10.1111/j.1538-4616.2012.00563.x.

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27

van Deventer, Marko. "African Generation Y students’ personal finance behavior and knowledge." Investment Management and Financial Innovations 17, no. 4 (2020): 136–44. http://dx.doi.org/10.21511/imfi.17(4).2020.13.

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Personal financial management is important, given uncertainties in both financial and economic environment. However, published research on African Generation Y students’ personal finance behavior and knowledge is limited. This study aimed to evaluate African Generation Y students’ personal finance behavior in terms of their attitudes towards financial planning and whether this cohort believes that they have the skills to manage their finances successfully. In addition, this study sought to evaluate African Generation Y students’ knowledge regarding personal finance. A convenience sample of 500 African students across the campuses of two South African public higher education institutions situated in the Gauteng province was surveyed using structured, self-administered questionnaires. The t-test results indicate that the sample deems the process of planning personal finances and managing credit, insurance, investment, and estate, as important. Moreover, the students scored low in the broad personal finance knowledge areas of basic finance, saving, spending, and debt, suggesting that this cohort is financially illiterate. The results also indicated that the students think they have the financial skillset to manage their personal finances. A high Pearson’s correlation coefficient was noted between sampled participants’ personal finance behavior and their observed personal finance management skillset regarding the relationship between the constructs. However, an insignificant relationship was found between attitudes towards personal finance and financial knowledge and between financial knowledge and African Generation Y students’ apparent finance skills. Understanding African Generation Y students’ personal finance behavior and knowledge, universities and financial institutions can more effectively identify gaps and deficiencies in students’ personal finance endeavors.

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28

Fabozzi, Frank J. "The Structured Finance Market: An Investor's Perspective." Financial Analysts Journal 61, no. 3 (2005): 27–40. http://dx.doi.org/10.2469/faj.v61.n3.2725.

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29

Schwarcz, S. L. "The public responsibility of structured finance lawyers." Capital Markets Law Journal 1, no. 1 (2006): 6–20. http://dx.doi.org/10.1093/cmlj/kml004.

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30

Erturk, Erkan, and Thomas G. Gillis. "Default Behavior of Global Structured Finance Securities." Journal of Structured Finance 10, no. 3 (2004): 48–55. http://dx.doi.org/10.3905/jsf.2004.443360.

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31

Mason, Joseph R. "The (Continuing) Information Problems in Structured Finance." Journal of Structured Finance 14, no. 1 (2008): 7–11. http://dx.doi.org/10.3905/jsf.2008.706226.

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32

West, Jason. "Structured Islamic Finance Options for theResources Sector." Journal of Structured Finance 18, no. 3 (2012): 91–101. http://dx.doi.org/10.3905/jsf.2012.18.3.091.

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33

Kotecha, Mahesh, and María Carolina Barón. "Structured Finance in Colombia: Experience and Lessons." Journal of Structured Finance 19, no. 1 (2013): 77–84. http://dx.doi.org/10.3905/jsf.2013.19.1.077.

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34

Borod, Ronald S. "Convergence of Project Finance and Structured Finance in the Wind Power Sector." Journal of Structured Finance 11, no. 1 (2005): 52–56. http://dx.doi.org/10.3905/jsf.2005.502628.

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35

Das, Sanjiv Ranjan, and Seoyoung Kim. "Managing Rollover Risk with Capital Structure Covenants in Structured Finance Vehicles." Journal of Fixed Income 26, no. 4 (2017): 92–112. http://dx.doi.org/10.3905/jfi.2017.26.4.092.

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36

Shabbir, Malik Shahzad. "The combine synergies between Islamic Micro Finance Portfolio and various Structured Finance Solutions." Global Review of Islamic Economics and Business 6, no. 2 (2018): 117. http://dx.doi.org/10.14421/grieb.2018.062-04.

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AbstractPurpose: The objective of this study is to combine the both Islamic micro finance portfolio and structured finance within the limits of Shariah. However, sustainability and access to traditional funding sources by micro finance institutions (MFI) have remained a pressing issue for the finance industry. The traditional sources of finance such as commercial banks have been unwilling and reluctant to join hands with micro finance institutions.Design/methodology/approach A unique structured proposal for business model is suggested in this paper. It combines synergies of structured finance solution for Islamic banks to join hands with existing micro finance providers. The proposed business model will enhance the financing capacity of the existing micro finance Industry by a staggering two thirds, simply by bringing in matching funds from traditional sources. These funds are based on the strong business model using synergies and financially innovative structured solution proposed for risk management etc.Finding It is a commercially viable solution which is capable of being replicated for the entire industry with a huge win-win for all. The results reveal that helping hands for relief development (HHRD) would be providing its share of Rs.115 Million (1045454.54 US dollars) to be matched on 60:40 ratios with Meezan Bank Limited (MBL). Furthermore, Rs.76.667 Million (696972.72 US dollars) and the total Rs.191.667 Million (1742427.27 US dollars) have matched on 30:70 bases between both HHRD and MBL regarding challenges of financial innovation.Originality/valueThis study highlights the issue, why financial institutions of Pakistan especially government sector banks avoided to joint hands with micro finance providers for various reason. These reasons are discussed in detail with proper solution in the paper.

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37

Sameer El Khatib, Ahmed. "Machine Learning and Finance." International Journal for Innovation Education and Research 9, no. 4 (2021): 29–55. http://dx.doi.org/10.31686/ijier.vol9.iss4.3016.

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The aim of this paper is provide a first comprehensive structuring of the literature applying machine learning to finance. We use a probabilistic topic modelling approach to make sense of this diverse body of research spanning across the disciplines of finance, economics, computer sciences, and decision sciences. Through the topic modelling approach, a Latent Dirichlet Allocation Technique (LDA), we can extract the 14 coherent research topics that are the focus of the 6,148 academic articles during the years 1990-2019 analysed. We first describe and structure these topics, and then further show how the topic focus has evolved over the last two decades. Our study thus provides a structured topography for finance researchers seeking to integrate machine learning research approaches in their exploration of finance phenomena. We also showcase the benefits to finance researchers of the method of probabilistic modelling of topics for deep comprehension of a body of literature, especially when that literature has diverse multi-disciplinary actors.

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38

Arifiyanto, Aditya, Prahastiwi Utari, and Andre Noevi Rahmanto. "Groupthink Antecedent Conditions of the Social Media Team of the Ministry of Finance of the Republic of Indonesia." International Journal of Social Science Research and Review 4, no. 1 (2021): 51–58. http://dx.doi.org/10.47814/ijssrr.v4i1.70.

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The use of information technology to communicate has become a new culture in recent years, one of which is the use of social media in communication. No exception government agencies also use to disseminate government policy information. At the Ministry of Finance of the Republic of Indonesia, there is a team that specializes in managing the Ministry of Finance's social media accounts. Through this research will reveal whether the social media team of the Ministry of Finance of the Republic of Indonesia has the potential to indicate groupthink in the process of group communication in order to make effective decisions. This study will use Antecedent Conditions as a guideline for the main indicators. This study uses a descriptive qualitative method with semi-structured interviews as a way to retrieve data. Informants involved in this study were five people consisting of members of the Ministry of Finance's social media team from the January 2017 to December 2018 period. The results revealed that the Ministry of Finance social media team had the potential to Groupthink, this was known from group cohesion, organizational structure faults and external pressures that affect them at work.

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39

Sanford, A. D., and I. A. Moosa. "A Bayesian network structure for operational risk modelling in structured finance operations." Journal of the Operational Research Society 63, no. 4 (2012): 431–44. http://dx.doi.org/10.1057/jors.2011.7.

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40

Williams, Kent R. "Mitigating Servicing Fraud in a Structured Finance Transaction." Journal of Structured Finance 10, no. 3 (2004): 39–47. http://dx.doi.org/10.3905/jsf.2004.443354.

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41

Paschalides, Philip. "Playing God: A Newtonian Analogy for Structured Finance." Journal of Structured Finance 18, no. 1 (2012): 22–25. http://dx.doi.org/10.3905/jsf.2012.18.1.022.

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42

J. Schmidt, Holger, Roger B. Mason, Juan-Pierré Bruwer, and Jonathan Aspeling. "Access to finance problems for small retail businesses in South Africa: comparative views from finance seekers (retailers) and finance providers (banks)." Banks and Bank Systems 12, no. 2 (2017): 20–30. http://dx.doi.org/10.21511/bbs.12(2).2017.02.

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Small retail businesses are essential for the growth of the South African economy. Though many of these business entities need more assets to seize business opportunities, previous research studies suggest that their overall access to finance through banks and other finance providers seems to be limited. In general, small retail businesses are usually managed by entrepreneurs who lack financial knowledge, but banks, when deciding on credit applications, rely heavily on financial information, which is provided by these entrepreneurs. Notwithstanding the aforementioned, this study aimed to explore barriers that limit access to finance for South African small retailers, from the perspectives of finance providers (banking institutions) and finance seekers (small retailers). Additionally, measures were highlighted to show how those hurdles could be overcome. Qualitative research was conducted, whereby data were collected via semi-structured interviews with management personnel at banks and other financial institutions, as well as independent experts and small retail business owners and managers. The findings show that many financing opportunities are available to small retail businesses, but access to these opportunities is limited mainly owing to, inter alia, strict bank regulations and factors that are inherent to small retail business owners.

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43

Marques, Manuel O., and João M. Pinto. "A comparative analysis of ex ante credit spreads: Structured finance versus straight debt finance." Journal of Corporate Finance 62 (June 2020): 101580. http://dx.doi.org/10.1016/j.jcorpfin.2020.101580.

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44

Gaćeša, Radmila. "Supply chain finance." Bankarstvo 49, no. 4 (2020): 100–111. http://dx.doi.org/10.5937/bankarstvo2004100g.

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Supply channel financing or reverse factoring can be defined as the use of financial instruments and technologies to optimize the management of working capital and liquidity, which are linked to the supply chain. This type of transaction includes the following participants: the supplier, the buyer and the factor as an intermediary. Given the available expertise, professionally trained staff, structured experience, technical equipment and some other functionalities, banks are, as factors, ideal participants in supply chain financing. The support provided by international financial institutions, some of which will be mentioned more specifically in the following text, can be a valuable opportunity to improve existing models, and to initiate new projects and install appropriate platforms, which would certainly benefit both clients and the banks themselves.

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45

Kumar Kashyap, Amit, and Vijaylaxmi Sharma. "REGULATORY REFORMS FOR STRUCTURED GREEN FINANCE: EXPLORING THE CASE OF INTERNATIONAL FINANCE SERVICE CENTRE, INDIA." International journal of ecosystems and ecology science (IJEES) 12, no. 4 (2022): 79–90. http://dx.doi.org/10.31407/ijees12.410.

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46

Siklar, Emel, and Ilyas Siklar. "Ethics de' Competitiveness in Finance: An Emancipative Structured Assessment and Evaluation of Indian Finance Industry." International Journal of Economics and Financial Research, no. 72 (June 1, 2021): 28–42. http://dx.doi.org/10.32861/ijefr.72.43.56.

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The details of a central bank’s monetary policy are based on assumptions about the money demand. This requires researches that aim to investigate money demand dynamics. Knowing these dynamics will support the identification of risks that may pose a threat to price stability in the long run. This study aims to analyze the changes observed in the demand for money during the last 35 years (1986-2020) in Turkey. When the analyzing period is considered as a whole in the study, it is determined that the demand for money is not stable. However, the nonlinear cointegration analysis used within the framework of soft transition models indicates that the money demand model can be divided into two different regimes with stability. In this case, it is possible to talk about the existence of a transition period in which stability is lost in the demand for money. The analyzing technique used allows the coefficients obtained for money demand to change over time according to the regime in which the economy operates. Nonlinear estimation results indicate that there is a long-term relationship between the demand for money and its macroeconomic determinants such as price level, income, interest rate, and money holding preferences of economic agents.

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47

Saraogi, Ravi, Vandana Bhaskaran, and BNS Kumar. "Structured Finance and Bond Market Development for Indian Microfinance." Asian Journal of Research in Banking and Finance 4, no. 9 (2014): 215. http://dx.doi.org/10.5958/2249-7323.2014.00958.4.

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48

Das, Sanjiv, and Seoyoung Kim. "The Design and Risk Management of Structured Finance Vehicles." Journal of Risk and Financial Management 9, no. 4 (2016): 12. http://dx.doi.org/10.3390/jrfm9040012.

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49

Josephson, Jens, and Joel D. Shapiro. "Credit Ratings and Structured Finance." SSRN Electronic Journal, 2018. http://dx.doi.org/10.2139/ssrn.3267435.

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50

Jobst, Andreas A. "A Primer on Structured Finance." SSRN Electronic Journal, 2005. http://dx.doi.org/10.2139/ssrn.832184.

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