Technical Debt Prioritization: State of the Art. A Systematic Literature Review

Background. Software companies need to manage and refactor Technical Debt issues. Therefore, it is necessary to understand if and when refactoring Technical Debt should be prioritized with respect to developing features or fixing bugs. Objective. The goal of this study is to investigate the existing body of knowledge in software engineering to understand what Technical Debt prioritization approaches have been proposed in research and industry. Method. We conducted a Systematic Literature Review among 384 unique papers published until 2018, following a consolidated methodology applied in Software Engineering. We included 38 primary studies. Results. Different approaches have been proposed for Technical Debt prioritization, all having different goals and optimizing on different criteria. The proposed measures capture only a small part of the plethora of factors used to prioritize Technical Debt qualitatively in practice. We report an impact map of such factors. However, there is a lack of empirical and validated set of tools. Conclusion. We observed that technical Debt prioritization research is preliminary and there is no consensus on what are the important factors and how to measure them. Consequently, we cannot consider current research conclusive and in this paper, we outline different directions for necessary future investigations

Credit Risk, Systemic Uncertainties and Economic Capital Requirements for an Artificial Bank Loan Portfolio

This paper analyses the impact of different credit risk-based capital requirement implementations on banks' need for capital. The capital requirements for an artificially constructed risky loan portfolio are calculated by applying the BIS approach, the two widespread commercial risk-measurement models, CreditMetrics and CreditRisk+, and, finally, an original synthetic model similar to KMV. In the first three cases we closely follow the methodologies proposed by the regulatory or credit risk models. Economic capital requirements for the latter are obtained by means of Monte Carlo simulations. In the context of CreditMetrics, we additionally perform a Monte Carlo-based stress testing of the monetary policy changes reflected in the term structure of interest rates. Our model of KMV type combines the elements of the structural and the reduced-form methods of risky debt pricing, and the possibilities of its numerical solution are outlined.credit risk, economic capital, market risk, New Basel Capital Accord, systemic uncertainty.

A Roadmap to Reduce U.S. Food Waste by 20 Percent

The magnitude of the food waste problem is difficult to comprehend. The U.S. spends $218 billion a year -- 1.3% of GDP -- growing, processing, transporting, and disposing of food that is never eaten. The causes of food waste are diverse, ranging from crops that never get harvested, to food left on overfilled plates, to near-expired milk and stale bread. ReFED is a coalition of over 30 business, nonprofit, foundation, and government leaders committed to building a different future, where food waste prevention, recovery, and recycling are recognized as an untapped opportunity to create jobs, alleviate hunger, and protect the environment -- all while stimulating a new multi-billion dollar market opportunity. ReFED developed A Roadmap to Reduce U.S. Food Waste as a data-driven guide to collectively take action to reduce food waste at scale nationwide.This Roadmap report is a guide and a call to action for us to work together to solve this problem. Businesses can save money for themselves and their customers. Policymakers can unleash a new wave of local job creation. Foundations can take a major step in addressing environmental issues and hunger. And innovators across all sectors can launch new products, services, and business models. There will be no losers, only winners, as food finds its way to its highest and best use

An analysis of the change in financial position of the construction industry in Hong Kong

The purpose of this report is to find out the relationship between Hong Kong construction industry and the market condition of Hong Kong in the past 5 years (1993-97). Prior research showed that construction industry is an important contributor to the economic development of Singapore by helping to establish the infrastructure required for sustaining socioeconomic development (Ofori 1988). Although a number of researches were on the prediction of solvency, none was related to the construction industry in Hong Kong. Recently, Hong Kong has been facing economy difficulty, concern is aroused in the healthiness of Hong Kong business. Construction industry, being an important industry, deserves to study. To determine the relationship between market condition and the industry, we use the Capital Asset Pricing Model (CAPM). The results of CAPM showed that the financial performance of construction companies follow the movement of the market. We determine the change of financial position of Hong Kong construction companies by using the industrial average of the construction sector in Hong Kong and applying financial statement analysis techniques. We found from the financial statement analysis that most construction companies were not profitable and most of them had high gearing ratios. Questionnaires are sent to 22 listed construction companies to identify the possible factors that affect the their performance. According to the view of these construction companies, their performance was much affected by the economic condition. These results are consistent in the way that the construction companies are not profitable during the periods. Long Debtor’s Day and high gearing position are norms in construction industry. Most sample companies in our study follow these norms. The result shows that most sample companies follow the market to grow but the growth rate is not as rapid as the market. We recommend that the construction companies should better control their debt and expenses with great care so as to improve profitability and financial leverage. Through value management to achieve an effective management of change

Fatores determinantes da eficiência do setor bancário em Portugal: uma aplicação através de modelos de regressão fracional

The participation in the Euro area and the current financial crisis substantially conditioned the development of the Portuguese banking industry, for which is expected a continuous fall in income and a growing competitive pressure, improving the need to look carefully to issues as efficiency as an essential survival factor. Efficiency indicators of the main banks operating in Portugal were measured through DEA methodology. The application of two-stage models allowed circumventing the usual problems inherent to the coexistence of the production and intermediation approaches. The application of regression for proportions, more appropriate than traditional linear and Tobit regressions, to deal with the fractional nature of the DEA scores, allowed the identification of efficiency determinant factors for the main banks operating in Portugal. The fractional regression models demonstrate evidence of improved specification comparing to traditional regression models. The variables that appear to major influence on overall efficiency are internationalization, size and type of ownership of capital.info:eu-repo/semantics/publishedVersio

Organizational Capital: A New Approach to Lending in Nonprofit Affordable Housing

In spite of a diminishing supply of public resources, many nonprofit housing developers are expanding their roles and their portfolios to address an increasing need for decent affordable housing. But as nonprofit housing organizations mature, the traditional project-by-project funding system fails to support their broader development goals. This paper stresses the urgent need for equity, or "organizational capital," to help nonprofit housing organizations build their capacity and their impact. Unlike conventional financing, organizational capital is underwritten against a borrower's balance sheet, or its organizational ability to repay. Whereas project-based loans are tied to one particular project, organizational loans can be a source of liquidity whenever an organization needs it: on the front end of a deal, for general business operations or during periods of organizational expansion. Despite its many advantages, there is an extremely limited supply of organizational capital in nonprofit affordable housing. This research outlines the practical challenges to organizational investing and uncovers the underlying barriers that have prevented a nonprofit organizational capital market from emerging. These findings lead us to explore nonprofit housing organizations in a "closed system" of standardized reporting and rational decision-making. The study concludes that while a new nonprofit reporting system would greatly encourage organizational investing in housing, the private markets alone will not bring organizational lending to scale. The final sections of the paper discuss the public policy implications of a closed nonprofit capital system and highlight some innovative approaches taken by lenders to overcome the obstacles of organizational investing and advance a new model of lending in nonprofit affordable housing

Capital markets, CDFIs, and organizational credit risk

Can Community Development Financial Institutions (CDFIs) get unlimited amounts of low cost, unsecured, short- and long-term funding from the capital markets based on their organizational credit risk? Can they get pricing, flexibility, and procedural parity with for-profit corporations of equivalent credit risk? One of the key objectives of this book is to explain the reasons why the answer to the two questions above remains “no.” The other two key objectives are to show the inner workings of what has been done to date to overcome the obstacles so that we don’t have to retrace the same steps and recommend additional disciplines that position CDFIs to take advantage of the mechanisms of the capital markets once the markets stabilize