18,642 research outputs found

    Creating a global vision for sustainable fashion

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    Textiles, the fastest growing sector in household waste, have created an exponential rise in the export of second hand clothes (SHC) to overseas markets such as Kenya and Tanzania. Despite the few advantages for the destination markets (eg, enterprise opportunities), this has exasperated a difficult situation for domestic production. Increased cheap imports from Asia have also led to decline in SHC markets, resulting in increased land filling and the associated environmental impacts. Our research proposes remanufacturing fashion from the unwanted SHC, embellishing using local (destination market) craft/design. From literature review conducted, reuse and remanufacture of clothing causes the least impact on energy use and appears to be the most environmentally and socially friendly approach to sustainability efforts. Remanufacture of clothing is currently practiced at niche market levels, for it to have a broader impact; it needs to gain entry into the mass-market retail arena. In the mass market arena, the apparel value chain is organized around several parts with a marketing network at the retail level. Lead firms predominantly construct these value chains, are predominantly located in developed countries, and may be large retailers and brand-name firms, playing a significant role in specifying what is to be produced, how, and by whom. Our goal is to understand how designers, manufacturers and retailers may work together in a remanufacturing process. We present findings from interviews with Tanzanian second hand clothes retailers and artisans, UK fashion remanufacturers and retailers. We discuss the implications on the fashion design process and propose a new product development method for sustainable consumption of fashion. We conclude by reflecting on potential mechanisms of the supply chain integration and how the large multinationals may become engaged. Key words: remanufacturing, design process, supply chain, second hand clothe

    Estimation of Default Probabilities with Support Vector Machines

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    Predicting default probabilities is important for firms and banks to operate successfully and to estimate their specific risks. There are many reasons to use nonlinear techniques for predicting bankruptcy from financial ratios. Here we propose the so called Support Vector Machine (SVM) to estimate default probabilities of German firms. Our analysis is based on the Creditreform database. The results reveal that the most important eight predictors related to bankruptcy for these German firms belong to the ratios of activity, profitability, liquidity, leverage and the percentage of incremental inventories. Based on the performance measures, the SVM tool can predict a firms default risk and identify the insolvent firm more accurately than the benchmark logit model. The sensitivity investigation and a corresponding visualization tool reveal that the classifying ability of SVM appears to be superior over a wide range of the SVM parameters. Based on the nonparametric Nadaraya-Watson estimator, the expected returns predicted by the SVM for regression have a significant positive linear relationship with the risk scores obtained for classification. This evidence is stronger than empirical results for the CAPM based on a linear regression and confirms that higher risks need to be compensated by higher potential returns.Support Vector Machine, Bankruptcy, Default Probabilities Prediction, Expected Profitability, CAPM.

    Firm Characteristic Determinants of SME Participation in Production Networks

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    This paper provides an empirical analysis of small and medium enterprise (SME) participation in production networks. It gauges firm characteristic determinants of SME participation in production networks. The empirical investigation utilizes results obtained from an ERIA Survey on SME Participation in Production Networks, conducted over a three month period at the end 2009 in most ASEAN countries (i.e., Thailand, Indonesia, Malaysia, Philippines, Vietnam, Cambodia, and Laos PDR) and China. The results suggest that productivity, foreign ownership, financial characteristics, innovation efforts, and managerial/entrepreneurial attitudes are the important firm characteristics that determine SME participation in production networks. The paper extends the analysis to identify the determinants that allow SMEs to move from low to high quality or value adding participation in production networks. The results suggest that size, productivity, foreign ownership, and, to some extent, innovation efforts and managerial attitudes, are the important firm characteristics needed by SMEs to upgrade their positions in production networks. The finding suggests that SMEs really exploit competitiveness from economies of scale only when they are able to engage in production networks.

    The influence of dealers' perceptions on the buying and selling of Islamic bonds

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    EThOS - Electronic Theses Online ServiceGBUnited Kingdo

    The Impact of Hedging on Stock Return and Firm Value: New Evidence from Canadian Oil and Gas Companies

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    This paper analyzes the impact of hedging activities of large Canadian oil and gas companies on their stock returns and firm value. Differing from the existing literature this research finds that some of these relationships are nonlinear based on the framework of nonlinear generalized additive models. The research based on this more general methodology reveals some interesting findings on oil and gas hedging activities. The large Canadian oil and gas firms are able to use hedging to protect downside risk against the unfavorable oil and gas price changes. But oil hedging appears to be more effective in protecting stock returns than gas hedging is when downside risk presents. In addition, oil and gas reserves are more likely to play a positive (negative) role when the oil and gas prices are increasing (decreasing). Finally, hedging, in particular hedging on gas, together with profitability, investment and leverage, has certain impacts on firm value.oil; gas; hedging; return; firm value; general additive models ; Canada

    The pricing puzzle : the default term structure of collateralised loan obligations

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    Ambivalence in the regulatory definition of capital adequacy for credit risk has recently stirred the financial services industry to collateral loan obligations (CLOs) as an important balance sheet management tool. CLOs represent a specialised form of Asset-Backed Securitisation (ABS), with investors acquiring a structured claim on the interest proceeds generated from a portfolio of bank loans in the form of tranches with different seniority. By way of modelling Merton-type risk-neutral asset returns of contingent claims on a multi-asset portfolio of corporate loans in a CLO transaction, we analyse the optimal design of loan securitisation from the perspective of credit risk in potential collateral default. We propose a pricing model that draws on a careful simulation of expected loan loss based on parametric bootstrapping through extreme value theory (EVT). The analysis illustrates the dichotomous effect of loss cascading, as the most junior tranche of CLO transactions exhibits a distinctly different default tolerance compared to the remaining tranches. By solving the puzzling question of properly pricing the risk premium for expected credit loss, we explain the rationale of first loss retention as credit risk cover on the basis of our simulation results for pricing purposes under the impact of asymmetric information. Klassifikation: C15, C22, D82, F34, G13, G18, G2

    Hedging and Coordinated Risk Management: Evidence from Thrift Conversions

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    The authors propose an approach to analyzing risk management activities when multiple risks are bundled within a firm's assets or liabilities. They classify potentially bundled risks into two types: compensated risk and hedgeable risk. Firms earn rents for bearing compensated risk such as credit risk, and earn zero economic rents for bearing hedgeable risk such as interest rate risk. Because the costs associated with reducing hedgeable risk are lower than those associated with compensated risk, firms rationally eliminate hedgeable risks using either on- or off-balance sheet strategies. Thus, hedging becomes desirable even for risk-neutral or risk-seeking firms as a means of allocating risk. They denote this approach of optimal risk allocation among multiple risks with a firm as Coordinated Risk Management. The authors test the coordinated risk management approach by examining the interaction between interest rate risk (hedgeable risk) and credit risk (compensated risk) management at thrift institutions following conversion form a mutual-to-stock form of ownership. Although the concept of coordinated risk management applies to any firm, they use this sample because of data availability for the sample of converting thrifts and the control groups of non-converting institutions. The time-series findings are consistent with the coordinated management of interest rate risk and credit risk. In particular, immediately at conversion they observe decreased interest rate risk across institutions combined with a more gradual trend toward increasing credit risk. The negative relation between interest rate risk and credit risk is also significant in pooled tests. In addition, institutions use both on-balance sheet strategies and derivative instruments to reduce interest rate risk. This finding of decreasing interest rate risk occurs despite incentives to increase total risk following conversion. In light of the current discussions on the use of derivatives, this finding also indicates that thrifts use derivatives instruments for hedging rather than for speculative purposes. The cross-sectional results support models of optimal hedging. The authors provide evidence that interest rate risk hedging within an institution is positively associated with ex ante growth opportunities. They also provide evidence that managerial security holdings are a significant determinant of hedging activity. Finally, they report a negative association between managerial option holdings and interest rate risk hedging. Managers holding relatively high numbers of options maintain a risky position on-balance sheet with respect to unexpected changes in interest rates.

    Refining understanding of corporate failure through a topological data analysis mapping of Altman’s Z-score model

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    Corporate failure resonates widely leaving practitioners searching for understanding of default risk. Managers seek to steer away from trouble, credit providers to avoid risky loans and investors to mitigate losses. Applying Topological Data Analysis tools this paper explores whether failing firms from the United States organise neatly along the five predictors of default proposed by the Z-score models. Firms are represented as a point cloud in a five dimensional space, one axis for each predictor. Visualising that cloud using Ball Mapper reveals failing firms are not often neighbours. As new modelling approaches vie to better predict firm failure, often using black boxes to deliver potentially over-fitting models, a timely reminder is sounded on the importance of evidencing the identification process. Value is added to the understanding of where in the parameter space failure occurs, and how firms might act to move away from financial distress. Further, lenders may find opportunity amongst subsets of firms that are traditionally considered to be in danger of bankruptcy but actually sit in characteristic spaces where failure has not occurred

    Macroeconomics with frictions

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    This article is a progress report on research that attempts to include one type of market incompleteness and frictions in macroeconomic models. The focus of the research is the absence of insurance markets in which individual-specific risks may be insured against. The article describes some areas where this type of research has been and promises to be particularly useful, including consumption and saving, wealth distribution, asset markets, business cycles, and fiscal policies. The article also describes work in each of these areas that was presented at a conference sponsored by the Federal Reserve Bank of Minneapolis in the fall of 1993. ; Reprinted in the Quarterly Review, Summer 1997 (v. 21, no. 3)Macroeconomics
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