ECO677 Finans Teorileri
Bu dersin amacı finansal ekonomi programı (Tezsiz YL) öğrencileri için temel finansal kavramlara giriş yapmak ve finansal teorileri tanıtmaktır. Daha fazla bilgi için Click here
Bu dersin amacı finansal ekonomi programı (Tezsiz YL) öğrencileri için temel finansal kavramlara giriş yapmak ve finansal teorileri tanıtmaktır. Daha fazla bilgi için Click here
Introduction to the financial system and markets as well as the widely used financial instrument and their pricing models. In addition, Risk Management concept is also covered. For more information Click here
Introduction to machine learning (ML) techniques. Course starts with a discussion about the difference between traditional Econometric methods and Statistical learning. Then introduce these learning techniques. For more information Click here
The aim of this course is to introduce current state of the art methodologies in Time series. The topics include the followings, discrete-continuous time series, domains: probability-time-frequency, time series and causality, exploratory analysis of multivariate time series, similarities of time series, clustering of time series, general approach for time series data mining. For more information
Click here
Bu dersin amaçları;
(i) finans teorilerinin temelleri ışığında öğrencilere risk ve risk yönetimini,
(ii) finansal enstrümanların fiyatlama tekniklerini tanıtmak ve
(iii) piyasa ve kredi risk ölçümlerindeki temel hesaplamaları tanıtmaktır.
Daha fazla bilgi için
tıklayınız
This course aims to introduce time series analysis and its applications in economics/finance. At the end of the course, the students shall be able to create time series models for real world time series data. The main software used in this course for statistical programming is [R](http://cran.r-project.org/ "The Comprehensive R Archive Network"). Students shall be able to use R and its related packages. The content of the course is dynamic and changing in every year. For more information
Click here
The aim of this undergraduate course to introduce the concept of decision making with and
without uncertainty to fourth year students. The following topics are included; Heuristics,
utility theory and utility function (single-multi attribute), statistical decision theory, risk and uncertainty, decision trees,
simulation, stochastic dominance. For more information Click here
Bu ders iktisat öğrencilerine karar verme analizlerinin temellerini tanıtmayı amaçlamaktadır. Dersi başarıyla tamamlayan öğrenciler, belirlilik ve belirsizlik altında [rasyonel] karar vermeye yönelik model, analiz teknikleri ve gerçek hayat uygulamalarına yönelik bazı araçların kullanımını da öğrenmiş olacaklardır. Dersin içeriği; karmaşık ortamlarda karar verme; risk ve belirsizlik; istatistiksel karar teorisi, fayda teorisi; karar ağaçları; buluşsal yöntemler; benzetim yöntemleri; Stokastik üstünlük; etkin sınır; çok amaçlı karar verme parçalarından oluşmaktadır. Click here
This course aims to introduce stochastic differential equations and
application of continuous time time series modeling in finance and economics.
At the end of the course, the students shall be able to model the real world time series data.
For more information Click here
Finansal Piyasalar dersinde, Piyasalar, işleyişi, Risk ve Risk Yönetimi ve Finansal Enstrümalnarın Fiyatlama modelleri ele alınacaktır. Daha fazla bilgi için Click here
The aim of this course; (i) to introduce the fundamental theories in finance,
(ii) to introduce the pricing of some financial instrument and (iii) to introduce
financial risk management including pricing financial derivatives and instruments.
For more information Click here
This is the decision theory course (ECO450) given in Turkish. For more information Click here
Course content includes two parts, Foundations: Uncertainty-Risk-Macroeconomics; Monetary Activities, Money-Bank and Regulations, Financial Theories, Efficient Markets; Pricing and Practice: Stochastic processes and probability, Asset pricing, Options and pricing, financial innovations and recent crisis.
The following topics are introduced; Complex decisions; factors affecting decisions; risk and uncertainty; taxonomies of uncertainty; heuristics; judgment of cause and contingency; beliefs; normative decision theory; descriptive decision theories; mental accounting; moral judgments.