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.
Chapter 1: The Cobb-Douglas production function for an exponential
model.
Chapter 2: Threshold Unit Root Tests with Smooth Transitions.-
Chapter 3: Jump connectedness in the European foreign exchange market.-
Chapter 4:Modeling Currency Exchange Data with Asymmetric Copula Functions.-
Chapter 5: The Joint Tests of the Parity Conditions: Evidence from a Small
Open Economy.
Chapter 6: Stochastic volatility models with endogenous breaks
in volatility forecasting.
Chapter 7: Effect in Quality Control Based of
Hotelling T2 and CUSUM Control Chart Hakan EYGÜ.
Chapter 8: A Robust
Regression Method Based on Pearson Type VI Distribution.
Chapter 9: Discrete
Volatilities of Listed Real Estate Funds.
Chapter 10: Have Commodity Markets
Political Nature?.
Chapter 11: A Nonlinear Panel ARDL Analysis of Pollution
Haven/ Halo Hypothesis.
Chapter 12: An Investigation of Asymmetries in
Exchange Rate Pass-through to Domestic Prices.
Chapter 13: Investigation of
the Country-Specific Factors for URAP.
Chapter 14: The Impact of Outsourcing
and Innovation on Industry 4.0.
Chapter 15: Subjective Well-Being of Poor
Households.
M. Kenan Terziolu received his MSc. degree in Actuarial Sciences from Hacettepe University, Ankara (Turkey). He studied at Tilburg University (Netherlands) in the Department of Econometrics and Operations between 2008 and 2009 while working in the Department of Actuarial Sciences at Hacettepe University between 2006 and 2009 as a Research Assistant. He worked as a Risk Analyst Assistant (Assistant Specialist) in Ziraat Bank Risk Management Department and received his Ph.D. degree in Econometrics from the Department of Econometrics at Gazi University, Ankara (Turkey). Since 2018, he has been working as an Associate Professor in the Econometrics Department at Trakya University, Edirne (Turkey). He is part of the management team at the Risk Management and Corporate Sustainability Application and Research Center at Trakya University. His research focuses on linear/non-linear time series analysis, financial econometrics, risk management, valuation method, and data sciences.
