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Company Valuation and Bankruptcy Prediction - Forecasting of Companies' Future Performance Through Analyst Assessments and... Company Valuation and Bankruptcy Prediction - Forecasting of Companies' Future Performance Through Analyst Assessments and Stochastic Modeling (Paperback)
Jan Klobucnik
R1,777 Discovery Miles 17 770 Ships in 18 - 22 working days

Doctoral Thesis / Dissertation from the year 2013 in the subject Economics - Finance, grade: summa cum laude, University of Cologne, language: English, comment: The research was presented at several international conferences (Eighth Accounting Research Workshop, Basel, Hong Kong University of Science and Technology Research Seminar, Hong Kong, German Academic Association for Business Research Meeting, Bozen, European Accounting Association Annual Meeting, Lublijana, Midwest Finance Association Annual Meeting, New Orleans) and won several research awards (Financial Markets and Portfolio Management Award for the Best Professional Paper, granted by Swisscanto, Best Practice Paper Award, granted by the German Academic Association for Business Research)., abstract: The contribution of this study is manifold and relevant for academics and practitioners alike. It adds to the literature in the fields of corporate finance, financial accounting and stochastic modeling. In particular, this dissertation provides answers to the following questions: given the less efficient markets, can specialists as financial analysts provide additional information, which contain investment value? How can the true value of a company be determined with publicly available data and can discrepancies between fundamental and market values be exploited? Finally, is it possible to assess the firm's financial health and its likelihood of failure several years into the future? Adressing these questions, the study first illustrates the company valuation assessment by financial analysts as summarized in their target prices and the information processing by analysts and investors in detail. Second, this thesis offers a novel empirical implementation of a model for fundamental company valuation that employs accounting data. In this context it demonstrates severe over- and undervaluation from a fundamental perspective in the U.S. technology sector over the last 20 years. Both the analysts' company valuatio

Do Rating Announcements convey new Information? - An Event Study on Credit Default Swap Spreads (Paperback): Jan Klobucnik Do Rating Announcements convey new Information? - An Event Study on Credit Default Swap Spreads (Paperback)
Jan Klobucnik
R1,050 Discovery Miles 10 500 Ships in 18 - 22 working days

Diploma Thesis from the year 2010 in the subject Economics - Statistics and Methods, grade: 1,3, University of Tubingen, language: English, comment: empirische Arbeit, abstract: Rating agencies play an important role on the capital markets; however, during the financial crisis 2007-2009 people began to question how good their assessments of credit quality really are. In my study, I empirically examine the effect of rating announcements from Standard & Poor's on the Credit Default Swap (CDS) Market. It contributes to the field of rating agencies' performance measurement. Based on Event Study Methodology and recent CDS data, I detect virtually no significant abnormal spread change at the announcement date neither for downgrades nor upgrades. However, the CDS show some anticipation prior to the event especially for downgradings. Considering the rating date, I find evidence for an asymmetric reaction where downgrades cause stronger movement in the spreads. As a result, it seems as if rating changes do not convey a great part of new information to the markets. At the same time, the significant anticipation indicates that the CDS market processes information more efficiently.

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