Neural and wavelet network models for financial distress classification

This work analyzes the use of linear discriminant models, multi-layer perceptron neural networks and wavelet networks for corporate financial distress prediction. Although simple and easy to interpret, linear models require statistical assumptions that may be unrealistic. Neural networks are able to discriminate patterns that are not linearly separable, but the large number of parameters involved in a neural model often causes generalization problems. Wavelet networks are classification models that implement nonlinear discriminant surfaces as the superposition of dilated and translated versions of a single "mother wavelet" function. In this paper, an algorithm is proposed to select dilation and translation parameters that yield a wavelet network classifier with good parsimony characteristics. The models are compared in a case study involving failed and continuing British firms in the period 1997-2000. Problems associated with over-parameterized neural networks are illustrated and the Optimal Brain Damage pruning technique is employed to obtain a parsimonious neural model. The results, supported by a re-sampling study, show that both neural and wavelet networks may be a valid alternative to classical linear discriminant models.

On the utility of input selection and pruning for financial distress prediction models

Analyzes the use of linear and neural network models for financial distress classification, with emphasis on the issues of input variable selection and model pruning. A data-driven method for selecting input variables (financial ratios, in this case) is proposed. A case study involving 60 British firms in the period 1997-2000 is used for illustration. It is shown that the use of the Optimal Brain Damage pruning technique can considerably improve the generalization ability of a neural model. Moreover, the set of financial ratios obtained with the proposed selection procedure is shown to be an appropriate alternative to the ratios usually employed by practitioners.

Variable selection for financial distress classification using a genetic algorithm

This paper is concerned with the use of a genetic algorithm to select financial ratios for corporate distress classification models. For this purpose, the fitness value associated to a set of ratios is made to reflect the requirements of maximizing the amount of information available for the model and minimizing the collinearity between the model inputs. A case study involving 60 failed and continuing British firms in the period 1997-2000 is used for illustration. The classification model based on ratios selected by the genetic algorithm compares favorably with a model employing ratios usually found in the financial distress literature.

Ratio selection for classification models

This paper is concerned with the selection of inputs for classification models based on ratios of measured quantities. For this purpose, all possible ratios are built from the quantities involved and variable selection techniques are used to choose a convenient subset of ratios. In this context, two selection techniques are proposed: one based on a pre-selection procedure and another based on a genetic algorithm. In an example involving the financial distress prediction of companies, the models obtained from ratios selected by the proposed techniques compare favorably to a model using ratios usually found in the financial distress literature.

Financial protection in the UK building industry: a guide for clients and the construction supply chain.

There is a clear need for financial protection in the construction industry, both to guarantee satisfactory completion of construction projects and to guard against non-payment. However, the cost of financial protection is often felt to be disproportionately high, with unnecessary overlap between different measures. The Reading Construction Forum has commissioned and steered research which is published in this report in an effort to bring the problem out into the open and to clarify the various options open to the various parties and stakeholders in the construction process. "Financial Protection in the UK Building Industry" is the first definitive report on the subject, offering an accurate and simple guide that all levels within the construction industry can understand. This accessible new guide considers the problem of financial protection and clearly lays out the alternative solutions.It looks by turn at the client, the main contractor, and the sub-contractor, discussing which financial protection options are available to each of them, and considers the pros and cons of each option. The cost of each type of financial protection is weighed against the amount of protection provided and the risks involved. The book concludes with guidance for consultants, emphasising relevant points to consider when advising clients and contractors about which type of financial protection to choose. "Financial Protection in the UK Building Industry" was researched by a literature search, collection of statistical data, and financial data, as well as discussions with clients, contractors, sub-contractors and consultants. This investigation has shown that the direct costs of implementing financial protection measures are marginal, and that wider adoption of payment protection would create a more equitable situation between contracting parties.This guide will enable anyone in the construction industry to consider all the options, and determine what is the best solution for them. "Reading Construction Forum Financial Protection for the UK Building Industry" was complied by the University of Reading, funded by the Reading Construction Forum. The Forum has recently commissioned and steered a number of high-profile reports covering important aspects of the construction industry. Members of the Forum include major companies which are concerned with achieving high quality in the design, construction and use of commercial, retail and industrial buildings. All are committed to change and innovation in the British and European construction industries.

Financial protection in the UK building industry: bonds, retentions and guarantees

Financial Protection in the UK Building Industry provides comprehensive treatment of a complex aspect of construction management which is increasingly important in modern construction contracts. The term 'Financial Protection' refers to refers to the various mechanisms by which funds are made available to ensure the due performance of a partys contractual obligations. This book is based on material written for a research project funded by the Reading Construction Forum. Financial Protection in the UK Building Industry looks at the legal and economic background to the problem of providing financial protection to clients to guard against poor performance and or the insolvency of contractors, consultants and sub-contractors. The inclusion of practical guidance notes and summaries makes this a valuable guide for the construction professional as well as for the researcher. * provides in-depth analysis of financial protection measures * explores the ways in which financial protection can increase efficiency in the industry * financial protection in construction is beset with problems - this book points toward practical solutions

Livelihood diversification and moneylending in a Rajasthan village: what lessons for rural financial services?

The complexity of rural economies in developing countries is increasingly recognised, as is the need to tailor poverty reduction policies according to the diversity of rural households and their requirements. By reference to a village in Western India, the paper examines the results of a longitudinal micro-level research approach, employed for the study of livelihood diversification and use of informal finance. Over a 25-year period, livelihoods are shown to have become more complex, in terms of location, types of non-farm activities, and combinations of activities. Moreover, livelihood pathways taken continue to be critically affected by economic and social inequalities implicit in the caste system and tribal economy. A longitudinal micro-level research approach is shown to be one that can effectively identify the many complexities of rural livelihoods and the continued dependence on the informal financial sector, providing important insights into the requirements for rural financial products and services.

Training to address attitudes and behaviour of rural bank managers in Madhya Pradesh, India: A programme to facilitate financial inclusion

Given their physical presence in India, banks are arguably well-placed to improve financial inclusion in rural areas. However, uncertain repayment capacities and high transaction costs mean formal financial institutions are often reluctant to lend to the rural poor. Conversely, high transaction costs in dealing with banks are also incurred by clients, through, for example, lengthy, cumbersome and potentially ignominious procedures. Negative attitudes towards poor clients can be an important component of such transaction costs. An applied research project funded by the Enterprise Development Innovation Fund (EDIF-DFID) developed an innovative training programme designed to encourage more positive attitudes of bank staff towards poor clients, and towards their own role in rural poverty alleviation and development. This paper examines the development of the training programme, its implementation, and the results of its evaluation. It is shown that training can bring about attitudinal change, which in turn is reflected in behaviour and social impact.

An entropy-based financial decision support system (e-FDSS) for project analysis in construction SMEs

Uncertainty contributes a major part in the accuracy of a decision-making process while its inconsistency is always difficult to be solved by existing decision-making tools. Entropy has been proved to be useful to evaluate the inconsistency of uncertainty among different respondents. The study demonstrates an entropy-based financial decision support system called e-FDSS. This integrated system provides decision support to evaluate attributes (funding options and multiple risks) available in projects. Fuzzy logic theory is included in the system to deal with the qualitative aspect of these options and risks. An adaptive genetic algorithm (AGA) is also employed to solve the decision algorithm in the system in order to provide optimal and consistent rates to these attributes. Seven simplified and parallel projects from a Hong Kong construction small and medium enterprise (SME) were assessed to evaluate the system. The result shows that the system calculates risk adjusted discount rates (RADR) of projects in an objective way. These rates discount project cash flow impartially. Inconsistency of uncertainty is also successfully evaluated by the use of the entropy method. Finally, the system identifies the favourable funding options that are managed by a scheme called SME Loan Guarantee Scheme (SGS). Based on these results, resource allocation could then be optimized and the best time to start a new project could also be identified throughout the overall project life cycle.

Positive schizotypy and trait dissociation as vulnerability factors for post-traumatic distress

Objective. This study investigated whether trait positive schizotypy or trait dissociation was associated with increased levels of data-driven processing and symptoms of post-traumatic distress following a road traffic accident. Methods. Forty-five survivors of road traffic accidents were recruited from a London Accident and Emergency service. Each completed measures of trait positive schizotypy, trait dissociation, data-driven processing, and post-traumatic stress. Results. Trait positive schizotypy was associated with increased levels of data-driven processing and post-traumatic symptoms during a road traffic accident, whereas trait dissociation was not. Conclusions. Previous results which report a significant relationship between trait dissociation and post-traumatic symptoms may be an artefact of the relationship between trait positive schizotypy and trait dissociation.