Eyup Kadioglu
I studied economics in Bilkent University with a full scholarship, since I ranked in top 200 among 1 million nominees in the university entrance examination and graduated from Bilkent University in 1997 with honour degree. I have two MSc degrees one is in economics from Hacettepe University and the other in Banking and Finance from Business School of University of Leeds. I got doctorate degree in Accounting and Finance from Baskent University in 2014. I was awarded Associate Professor of Finance title in 2017 by Turkish Higher Education Council. With the postdoc grant of TUBITAK, I worked as a postdoc researcher at Department of Economics in Ghent University during 2019/09 - 2020/06. I have been teaching "investment analysis and portfolio management", "financial markets", "financial management" and "monetary economics" courses in various universities in Turkey. I have been carrying out researches on finance, financial markets, corporate governance and corporate finance under affiliation of Ghent University.
I started to my professional career by enrolling to Banking School of Ziraat Bank in 1998, and till 2001 I worked as a financial analyst at Head of Treasury Department of Ziraat Bank Co. Between 2001 and 2017, I worked as an Assistant Auditor, Auditor and Senior Auditor at the Capital Markets Board of Turkey. Since the beginning of the 2017, I have been working at Investor Compensation Center of Turkey.
I hold Turkish CFA III, Certified Public Accountant and Independent Audit certifications in Turkey.
Address: Turkey
I started to my professional career by enrolling to Banking School of Ziraat Bank in 1998, and till 2001 I worked as a financial analyst at Head of Treasury Department of Ziraat Bank Co. Between 2001 and 2017, I worked as an Assistant Auditor, Auditor and Senior Auditor at the Capital Markets Board of Turkey. Since the beginning of the 2017, I have been working at Investor Compensation Center of Turkey.
I hold Turkish CFA III, Certified Public Accountant and Independent Audit certifications in Turkey.
Address: Turkey
less
InterestsView All (24)
Uploads
Papers by Eyup Kadioglu
ABSTRACT
ESTIMATING FINANCIAL FAILURE: AN AMPRICAL TEST ON THE MANUFACTURING INDUSTRY AT BORSA ISTANBUL
This study aims to develop models using C5 and CHAID decision tree algorithms and logistic regression to estimate the financial failure and/or success of a given manufacturing company. 35 financial ratios are used as independent variables calculated on the grounds of both company’s annual financial statements and notes from 2007 to 2013. The dependent variable is the successful or unsuccessful status of 206 manufacturing firms listed on the Borsa Istanbul. Qualitative criteria are used to categorize the companies as successful or unsuccessful. The rates of accurate classification for models are found to be at acceptable levels. Although the CHAID algorithm’s general rate of accuracy and its rate for successful companies are greater than the rates obtained from the C5 algorithm, the CHAID algorithm yielded much lower results than the C5 algorithm in predicting unsuccessful companies.
ABSTRACT
ESTIMATING FINANCIAL FAILURE: AN AMPRICAL TEST ON THE MANUFACTURING INDUSTRY AT BORSA ISTANBUL This study aims to develop models using C5 and CHAID decision tree algorithms and logistic regression to estimate the financial failure and/or success of a given manufacturing company. 35 financial ratios are used as independent variables calculated on the grounds of both company's annual financial statements and notes from 2007 to 2013. The dependent variable is the successful or unsuccessful status of 206 manufacturing firms listed on the Borsa Istanbul. Qualitative criteria are used to categorize the companies as successful or unsuccessful. The rates of accurate classification for models are found to be at acceptable levels. Although the CHAID algorithm's general rate of accuracy and its rate for successful companies are greater than the rates obtained from the C5 algorithm, the CHAID algorithm yielded much lower results than the C5 algorithm in predicting unsuccessful companies.