Relevant bibliographies by topics / Indicators of financial distress

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  1. Dissertations / Theses

Academic literature on the topic 'Indicators of financial distress'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Dissertations / Theses on the topic "Indicators of financial distress"

1

McCurdy, Theresa Karen Lynne. "Primary indicators of financial distress in Canadian trust companies." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ38557.pdf.

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2

Bezuchová, Alena. "Finanční analýza podniků následně procházejících konkurzem." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-114084.

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The work "Financial Analysis of companies undergoing bankruptcy later" deals with the issue of bankruptcy debtor. It analyzes the situation where the company gets into financial distress and financial analysis examines indicators that best represent the financial situation and the impending decline. It continous with bankruptcy and insolvency of the debtor, and these two parts solves from both a legal and from an accounting perspective. Both parts are supplemented by short illustrative examples, which should help clarify emerging issues. In the practical part a three companies were selected, w
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3

Pranckh, Rupprecht. "Corporate Financial Distress and Financial Restructuring Solutions." St. Gallen, 2006. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/01666007002/$FILE/01666007002.pdf.

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Outecheva, Natalia. "Corporate financial distress : an empirical analysis of distress risk." kostenfrei, 2007. http://www.unisg.ch/www/edis.nsf/wwwDisplayIdentifier/3430.

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Ashraf, Sumaira. "Three essays on financial distress." Doctoral thesis, Universidade de Évora, 2019. http://hdl.handle.net/10174/30150.

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Large corporate failures and scandals in recent years indicate the shortcomings of current risk assessment tools and highlight the need for more extensive research on predicting financial distress (FD). The main objective of this thesis, comprised of three independent essays, is to provide empirical evidence on the factors affecting financial distress of firms. The first essay compares the accuracy of traditional distress prediction models at predicting the early warning signs of financial distress. The results reveal that the prediction accuracy of models declines for both early and more prog
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Aziz, Muhammad A. "Predicting corporate financial distress in UK." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/34090.

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The motivation for empirical research in corporate financial distress prediction is clear: the early detection of financial distress and the use of corrective measures are preferable to protection under insolvency law. Many different models have been used to predict corporate financial distress, and choosing between them for empirical application is not straightforward. One objective of this research is providing a comprehensive review, clarifying the problem of model choice in empirical prediction of corporate financial distress. To that end, we conduct a meta-analysis of the literature revie
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7

Costa, Magali Pedro. "Three essays on firms' financial distress." Doctoral thesis, Universidade de Évora, 2015. http://hdl.handle.net/10174/17512.

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Financial and output market decisions are crucial to the success or failure of an or- ganization. These decisions are influenced by the dynamic and competitive economic environment in which firms operate and, in turn, affect the ability of firms to meet their debt obligations. This thesis is constituted by three separate but interrelated essays which explore the impact of financial and operating decisions on the default risk. The first two essays study the equilibrium default probability, in a two-stage differentiated product duopoly model with uncertainty, where firms decide their financial s
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8

Oshiro, Renan Kenji. "Estruturas de governança corporativa e financial distress: há relação entre conselho de administração e empresas em financial distress?" reponame:Repositório Institucional do FGV, 2016. http://hdl.handle.net/10438/15858.

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Submitted by Renan Kenji Oshiro (renan.oshiro@gmail.com) on 2016-03-14T17:17:08Z No. of bitstreams: 1 OSHIRO - Estruturas de governança corporativa e financial distress.pdf: 1792395 bytes, checksum: 0816d14d773c954b257c5ad3f90312d1 (MD5)<br>Approved for entry into archive by Renata de Souza Nascimento (renata.souza@fgv.br) on 2016-03-14T17:20:18Z (GMT) No. of bitstreams: 1 OSHIRO - Estruturas de governança corporativa e financial distress.pdf: 1792395 bytes, checksum: 0816d14d773c954b257c5ad3f90312d1 (MD5)<br>Made available in DSpace on 2016-03-14T17:42:57Z (GMT). No. of bitstreams: 1 OS
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Stulpinienė, Vaida. "Financial distress prediction model of family farms." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2013~D_20140123_133545-56537.

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Designed financial distress prediction model is intended directly for the farmer (decision-maker) in order to diagnose the farm’s financial condition and predict the likelihood of financial distress, by using financial information of his farm. There are identified family farm characteristics in which family farms have higher risks to run in financial distress and are guidelines for the family farms that intend to more carefully monitor and control their financial condition. The aim of the research: after analysing the conception of financial distress and identifying the factors determining the
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10

Rutishauser, Philipp. "Unternehmen im Financial Distress Modelle zur Krisenfrüherkennung /." St. Gallen, 2006. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/03601762001/$FILE/03601762001.pdf.

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