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Advances in Econometrics, Operational Research, Data Science and Actuarial Studies
Author: M. Kenan Terzioğlu
language: en
Publisher: Springer Nature
Release Date: 2022-01-17
This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields. The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes. This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.
Finance in Central and Southeastern Europe
This book describes specific problems and proposes solutions for different areas of finance in Central and Southeastern European countries. Covering a broad spectrum of topics, from monetary economics and electronic money to capital markets, banking and insurance, it comprises theoretical and empirical contributions by authors from nine countries - Poland, Slovakia, Croatia, Bosnia and Herzegovina, Romania, Bulgaria, Montenegro, Serbia and Greece. Intended for academics as well as policy makers and practitioners it offers new perspectives on Central and Southeastern European finance research.
Covered Interest Parity in Emerging Markets
Author: Mai Dao
language: en
Publisher: International Monetary Fund
Release Date: 2025-03-28
We study the behavior of Covered Interest Parity (CIP) deviations – aka the CIP basis - in Emerging Markets (EM). A major challenge in computing the CIP basis in EM’s lies in measuring local currency interest rates which are free of local credit risk. To do so, we construct a ‘purified’ CIP basis for eight major EM currencies using supranational bonds issued in EM local currencies and US dollar going back twenty years. We show that this ‘purified’ CIP basis aligns well with theory-implied predictions. In the cross-section and the timeseries, the basis correlates with fundamental forces driving supply and demand for dollar forwards. Shocks to global dollar funding costs, global intermediary’s balance sheet capacity, and the demand for dollar safe assets interact with currency-specific dollar hedging and funding needs in moving the CIP basis in EM’s.