An assessment of Strategic Importance of Credit Rating Agencies for Companies and Organizations

Akdemir, Ali; Karslı, Durdu

doi:10.1016/j.sbspro.2012.09.1150

Cited by 5 publications

(2 citation statements)

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“…Akdemir and Karsli (2012) suggested that, while credit rating agencies play a praiseworthy role in Eurozone financial markets, if the reputation of an agency was suspect, and did not provide correct ratings, it may elevate global financial market crisis. Credit rating agencies provide rating reviews that are influenced by the informational content of crediting ratings, which possibly extend their economic function in financial markets (Bannier and Hirsch 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating the enhancement and improvement of China’s technology and financial services platform innovation strategy

Chen

2016

SpringerPlus

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The development of high-tech industry has been prosperous around the world in past decades, while technology and finance have already become the most significant issues in the information era. While high-tech firms are a major force behind a country’s economic development, it requires a lot of money for the development process, as well as the financing difficulties for its potential problems, thus, how to evaluate and establish appropriate technology and financial services platforms innovation strategy has become one of the most critical and difficult issues. Moreover, how the chosen intertwined financial environment can be optimized in order that high-tech firms financing problems can be decided has seldom been addressed. Thus, this research aims to establish a technology and financial services platform innovation strategy improvement model, as based on the hybrid MADM model, which addresses the main causal factors and amended priorities in order to strengthen ongoing planning. A DEMATEL technique, as based on Analytic Network Process, as well as modified VIKOR, will be proposed for selecting and re-configuring the aspired technology and financial services platform. An empirical study, as based on China’s technology and financial services platform innovation strategy, will be provided for verifying the effectiveness of this proposed methodology. Based on expert interviews, technology and financial services platforms innovation strategy improvement should be made in the following order: credit guarantee platform (C)_credit rating platform (B)_investment and finance platform (A).

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Section: Literature Reviewmentioning

confidence: 99%

Evaluating the enhancement and improvement of China’s technology and financial services platform innovation strategy

Chen

2016

SpringerPlus

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“…Thus, credit rating is a very important measure for companies. Credit rating expedites the process of purchasing and issuing bonds by providing an uniform and efficient measure of credit risk (Akdemir and Karslı, 2012). Thus, instead of borrowing loans from banks, public companies are more likely to raise money from capital markets by issuing bonds and notes.…”

Section: Introductionmentioning

confidence: 99%

A Sparsity Algorithm with Applications to Corporate Credit Rating

Wang,

Chen,

Florescu

2021

Preprint

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In Artificial Intelligence, interpreting the results of a Machine Learning technique often termed as a black box is a difficult task. A counterfactual explanation of a particular "black box" attempts to find the smallest change to the input values that modifies the prediction to a particular output, other than the original one. In this work we formulate the problem of finding a counterfactual explanation as an optimization problem. We propose a new "sparsity algorithm" which solves the optimization problem, while also maximizing the sparsity of the counterfactual explanation. We apply the sparsity algorithm to provide a simple suggestion to publicly traded companies in order to improve their credit ratings. We validate the sparsity algorithm with a synthetically generated dataset and we further apply it to quarterly financial statements from companies in financial, healthcare and IT sectors of the US market. We provide evidence that the counterfactual explanation can capture the nature of the real statement features that changed between the current quarter and the following quarter when ratings improved. The empirical results show that the higher the rating of a company the greater the "effort" required to further improve credit rating.Recent literature is implementing machine learning and deep learning techniques to assess public corporations' credit rating. In the US markets, corporate credit rating has been evaluated using Support Vector Machines (SVM's), Tree based models and network learning methods such as Artificial Neural Network (ANN),

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Macroannouncements, bond auctions and rating actions in the European government bond spreads

Boffelli

Urga

2015

Journal of International Money and Finance

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This paper investigates the impact of macroannouncements, government bond auctions and rating actions on the 10-year government bond spreads for Belgium, France, Italy, the Netherlands, Spain with respect to Germany. Using a unique tick-by-tick dataset over 1/02/2009-05/31/2012, we identify the impact of the three drivers via jump and cojump detection procedures. Disentangling the pre-from the post-announcement effects, real economy and forward looking news releases from US and Euro area, country specific Spanish and German macroannouncements, and auctions hold in distressed countries such Italy and Spain have a statistically and economically significant effect.No role is played by rating actions.Keywords: Jumps, Cojumps,Government Bond Spreads, Macroannouncements, Government Bond Auctions, Rating Actions.J.E.L. Classification Numbers: C58, C12, H63, G24.Europe is under stress and integration among European countries seems more fragile than ever.Starting from the subprime crisis in 2007, markets are more aware of the differences between European countries, and this sentiment is reflected, amongst others, in increasing differentials of government bond yields. In 2008 and 2009, government bond spreads became sizable but it was in 5 2010 and 2011 that spreads substantially increase, reaching levels even higher than those experienced in the pre-Euro era. It was just after the famous Mario Draghi's "whatever it takes" in July 2012 that a more normal situation on government bond markets was restored. The European sovereign debt $ We wish to thank participants in the 12th Oxmetrics User Conference (Cass, 3-4 September 2012), in particular Siem Koopman, Sebastien Laurent, and Bill Lyons for useful suggestions. We thank Michael J. Flemming and Jan Novotny for having provided very useful comments on a previous version of the paper. The usual disclaimer applies. Special thanks to Morningstar, in particular to Richard Barden, for having made available the rich data set used in this paper. Simona Boffelli acknowledges financial support from the Centre for Econometric Analysis of Cass Business School.* Centre for Econometric Analysis, Faculty of Finance, Cass Business School, City University London, 106 Bunhill Row, London, EC1Y 8TZ, UK and Bergamo University, Italy. G.Urga@city.ac.uk, Tel: +44 (0)20 7040 8698, Fax: +44 (0)20 7040 8881. Preprint submitted to Journal of International Money and FinanceDecember 22, 2014 crisis involving, although at different extents, all the peripheral countries have questioned the much celebrated markets' self-regulatory power as well as the ability of policy makers and regulators to 10 adopt stability measures and stimulate economic growth. Thus, understanding which factors drive sovereign risk is particularly timely also for the macroeconomic consequences of the comovements associated to these factors. For instance, higher spreads deteriorate borrowing capabilities and market confidence which simultaneously impact on consumption and investment. The way to ameliorate the effects of th...

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An assessment of Strategic Importance of Credit Rating Agencies for Companies and Organizations

Cited by 5 publications

References 0 publications

Evaluating the enhancement and improvement of China’s technology and financial services platform innovation strategy

Evaluating the enhancement and improvement of China’s technology and financial services platform innovation strategy

A Sparsity Algorithm with Applications to Corporate Credit Rating

Macroannouncements, bond auctions and rating actions in the European government bond spreads

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