Tarih:
Konum: A-416
TED University
Graduate School Seminar
Applied Data Science Program
COMPUTATIONAL ANALYSIS OF CBRT'S POLICY STATEMENTS
AND QUANTIFYING THE EFFECTS ON FINANCIAL MARKETS
Abstract: Central Bank's announcements are an important information-gathering tool of financial markets. Announcements are generally published as a text, which in turn is as a data source whose analytical potential has not been fully tapped. Studies have shown that texts can be analyzed as quantitative data and explored as positive or negative polarity and digitalized accordingly as well as gives an overview of opinion determining the attitude (i.e., sense, emotion, opinion). With text mining techniques, extracting the quantitative meanings from the texts is possible. Besides the content of the message being significant, it is also essential that the message is given by whom. Many announcements published as the "collegial" view of the related committee members by central banks. An important question that needs an answer is which author or author group writes what information. This paper seeks to investigate effects of the central bank announcements on the financial market by determining which an author/author group announces the central bank statements and identifying the attitudes of the author/author group. As a result of this measurement, the attitude and tone of the authors/ author groups and the relation of these attitudes and tones to the financial markets will be examined
By
Dr. Hakan Emekci,
Date: January 14, 2022 Friday
Time: 10:30 Room: A-416
Bio of the speaker: Dr. Hakan Emekci holds a Ph.D. degree in Economics from Hacettepe University, a Master’s in Finance degree from London Business School (LBS), and a Bachelor’s degree in Computer Engineering from Middle East Technical University (METU). Dr. Emekci has worked for the Turkish Treasury for ten years. During this period, he prepared Medium Term Economic Plans of Turkey for periods 2012-2015 with Macro-Economic Modeling Team and negotiated macroeconomic framework with IMF in the context of Article IV consultations. He represented Turkey in several international organizations including G20, EU, Responsible Finance Forum. He is co-author of the book “Data Analysis with R” written in Turkish and gave “Data Mining with R” lectures to Auditors at Ankara Social Sciences University. He is a senior researcher at Koc University Computational Social Science Lab. His research interests lie in the areas of macro-economic modeling, machine learning (ML), artificial intelligence (AI), and Natural Language Processing (NLP).