News & events

Introduction to Credit Risk part of the Master’s Programme in Applied Econometrics and Economic Modeling.


We are glad to announce that on 20th of December Mr. Rossen Valtchanov delivered a lecture on Introduction to Credit Risk to the students from Sofia University ‘St. Kliment Ohridski”, enrolled in Master’s Programme in Applied Econometrics and Economic Modeling.

Credit Risk Management Course part of the Master’s Programme in Applied Econometrics and Economic Modeling


On 12th of December, Dr. Yurt Alici - expert with more than 20 years professional experience in consumer credit counseling and risk management, started the Credit Risk Management course, part of the Master’s Programme in Applied Econometrics and Economic Modeling in Faculty of Economics and Business Administration in Sofia University ‘St. Kliment Ohridski’. Within two days, the specialist in credit risk modeling held two lectures about Models for Predicting Bankruptcy and Business Models

2-Day Workshop Humans and the Art of Analytical Modelling


More information about the program and the lecturers you can find here. [gallery ids="660,661,662,663,664,665,666,667,668,669" orderby="rand"]  



Upon return from Edinburgh, ERMC would like to wish all participants and the Academic Faculty of the M.Sc. Applied Econometrics and Economic Modelling of Sofia University St. Kliment Ohridski every success in the forthcoming academic year.

Credit Scoring and Credit Control XVI


Four AEEM students who won ERMC awards for best credit risk modelling projects joined Europe’s premier conference for credit scoring and related topics covering everything from current industry issues to the latest statistical research findings. More information about the conference may be found here:

Conference Grant Award in Credit risk modelling competition


      Exeter Risk Management has announced a Conference Grant Award for the best assignment delivery as a part of ERMC contribution in  MSC IN ECONOMETRICS AND FINANCIAL MODELLING and cooperation with Sofia Univerisity's Faculty of Economics and Business Administration.       Course Assignments have been delivered as a result of teamwork where the final assignment was subject to confirmed data sources. The assignment had to cover one of the following topics: Credit Acquisition Sco

Deposit Insurance Design and Credit Union Risk


      EMRC is pleased to announce its participation in Deposit Insurance Design and Credit Union Risk public lecture.       On June 9, 2017, Prof. Christina Atanasova, Finance Department, Beedie School of Business, Simon Fraser University, delivered a public lecture on deposit insurance and credit union risk. For more detailed info, please see Prof. Atanasova's profile here.

Financial Risk Insights, Issue 31, Center for Financial Proffessionals


Financial Risk Insights, Issue 31, from June 2017, covered the following topics: Current regulatory environment for intraday liquidity risk was presented by senior risk specialist from Bank of Ireland; Complementary stress testing presentation was given by Credit Suisse, where process orientated generic framework for reverse stress testing was described; Stress testing insights were presented by BNP Pariba: The importance of the risk discipline for more integrated testing approach was po

Fintech, MoneyConf in Madrid


      MoneyConf 2017 was placed in Madrid, Spain where EMRC had the pleasure to take part in. All participants possessed the opportunity to get closer to the most popular progress in Business, Finance, Banking, Commerce, Insurance, Wealth Management, Capital Markets, Money, Start-up, Fintech and Financial Technology at this significant meeting. This year around 1800 industry leaders and professionals have come together in Madrid for MoneyConf.       The conference days were fulfilled with

Second Master Class in Empirical Methods in Finance with DR. Christiana Atanasova


      EMRC is pleased to announce its participation in the 2nd Master Class in Empirical Methods in Finance. More information is available on  

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Analytics project: Predictive Modelling and Forecasting

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