The use of quantitative methods in investment decisions: a literature review

S Eti - Research anthology on personal finance and …, 2021 - igi-global.com
Quantitative methods are mainly preferred in the literature. The main purpose of this chapter
is to evaluate the usage of quantitative methods in the subject of the investment decision …

Defining the significant factors of currency exchange rate risk by considering text mining and fuzzy AHP

G Silahtaroğlu, H Dinçer, S Yüksel - Data science and multiple criteria …, 2021 - Springer
This study aims to determine the factors affecting the exchange rate risk of companies. In this
context, firstly, articles in the ScienceDirect database that contain exchange rate risk in their …

Identifying indicators of global financial crisis with fuzzy logic and data science: A comparative analysis between developing and developed economies

G Silahtaroğlu, H Dinçer, S Yüksel - Data Science and Multiple Criteria …, 2021 - Springer
The main purpose of this study is to define the leading indicators of the 2008 global financial
crisis for both developing and developed economies. In this context, 16 different variables …

INTERNAL DETERMINANTS OF CREDIT, EXCHANGE, INTEREST AND LIQUIDITY RISKS IN THE BANKING SECTOR

B Akkaynak - Journal of International Management Educational and …, 2022 - dergipark.org.tr
The banking sector is one of the most important intermediary institutions in financial markets.
They are institutions that are exposed to many systematic and non-systematic risks due to …

[图书][B] Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods

G Silahtaroğlu, H Dinçer, S Yüksel - 2021 - books.google.com
This book considers and assesses essential financial issues by utilizing data science and
fuzzy multiple criteria decision making (MCDM) methods. It introduces readers to a range of …

Gayrimenkul sektörünün bankacılık krizleri üzerindeki etkisi: Türkiye örneği

İ Canöz - 2019 - search.proquest.com
Dünya'nın farklı bölgelerinde yaşanmış gayrimenkul kaynaklı bankacılık krizleri, ekonomisi
inşaat ile büyüyen Türkiye için de söz konusu olabilir mi?''fikri bu tezin ortaya çıkış …

Profitability prediction of Turkish banking industry: A comparative analysis with data science and fuzzy ANP

G Silahtaroğlu, H Dinçer, S Yüksel - Data Science and Multiple Criteria …, 2021 - Springer
In this study, it is aimed to estimate the factors affecting the profitability of the Turkish banking
sector. For this purpose, 34 different variables were firstly determined by literature review …

Data Science and Multiple Criteria Decision Making Approaches in Finance

This book aims to evaluate different financial issues to reach sustainable economic
development. In this context, assessments were made on 6 different important issues. In this …