Ders Bilgileri
FİNANCİAL MODELİNG | ||||||
---|---|---|---|---|---|---|
Kodu | Dönemi | Teori | Uygulama | Ulusal Kredisi | AKTS Kredisi | |
Saat / Hafta | ||||||
BUS468 | Spring | 3 | 0 | 3 | 4 |
Ön Koşulu Olan Ders( ler ) | |
Dili | en |
Türü | Elective |
Seviyesi | Bachelor's |
Öğretim Elemanı( ları ) | Prof. Dr. TURHAN KORKMAZ |
Öğretim Sistemi | Face to Face |
Önerilen Hususlar | Yok |
Staj Durumu | None |
Amacı | It is aimed to apply some financial models by using publicly traded firms' financial data over spreadsheet program in financial modeling course. Specifically, it is also aimed to interpret the results of models which are found by applying financial, statistical and mathematical functions of spreadsheet program. |
İçeriği | The content of this course; spreadsheet applications, proforma balance sheet and income statement, leasing or buying decisions, business valuation, bond investments, investment decisions, sensitivity analysis, constructing portfolios, option pricing models, simulation techniques, risk management, and computing value at risk. |
Dersin Öğrenim Çıktıları
# | Öğrenim Çıktıları |
---|---|
1 | To be able to evaluate investment projects. |
2 | To be able to apply sensitivity analysis |
3 | To be able to select optimal portfolios and apply optimization process |
4 | To be able to apply security valuation models |
5 | To be able to explain single and multi variable regression analysis |
6 | To be able to solve fundamental financial mathematics problems |
7 | To be able to solve oprion pricing models. |
Haftalık Ayrıntılı Ders İçeriği
# | Konular | Öğretim Yöntem ve Teknikleri |
---|---|---|
1 | Spreadsheet applications. | Reading pages 1 to 6 from lecture notes and application. |
2 | Modeling financial statements. | Reading pages 7 to 13 from lecture notes and application. |
3 | Modeling financial statements | Reading pages 14 to 16 from lecture notes and application. |
4 | Financial analysis of leasing operations. | Reading pages 17 to 19 from lecture notes and application. |
5 | Interest rate instruments. | Reading pages 205 to 233 from course book and application. |
6 | Basic statistics and matrix computations. | Reading pages 647 to 693 from course book and application. |
7 | Business valuation. | Reading pages 272 to 293 from course book and application. |
8 | Midterm Exam | Written Exam |
9 | Investment decisions. | Reading pages 344 to 369 from course book and application. |
10 | Sensitivity analysis. | Reading pages 344 to 369 from course book and application. |
11 | Valuation of derivatives and option pricing models. | Reading pages 374 to 470 from course book and application. |
12 | Portfolio modeling. | Reading pages 503 to 566 from course book and application. |
13 | Constructing portfolios using Markowitz mean variance model and evaluating optimal portfolios. | Reading pages 503 to 566 from course book and application. |
14 | Value at risk (VAR) computations and simulation techniques. | Reading pages 576 to 641 from course book and application. |
15 | Bond valuation and modeling yield to maturity curve. | Reading pages 294 to 337 from course book and application. |
16 | Final Exam | Written Exam |
Resources
# | Malzeme / Kaynak Adı | Kaynak Hakkında Bilgi | Referans / Önerilen Kaynak |
---|---|---|---|
1 | Turhan Korkmaz ve Mehmet Pekkaya, Excel Uygulamalı Finans Matematiği, 3. Baskı, Ekin Kitabevi, Bursa, 2012. | ||
2 | Turhan Korkmaz, Finansal Modelleme Ders Notları, Mersin Üniversitesi, 2015. - Simon Benninga, Financial Modeling, 4th Edition, MIT Press, 2014. |
Ölçme ve Değerlendirme Sistemi
# | Ağırlık | Çalışma Türü | Çalışma Adı |
---|---|---|---|
1 | 0.4 | 1 | 1. Mid-Term Exam |
2 | 0.6 | 5 | Final Exam |
Dersin Öğrenim Çıktıları ve Program Yeterlilikleri ile İlişkileri
# | Öğrenim Çıktıları | Program Çıktıları | Ölçme ve Değerlendirme |
---|---|---|---|
1 | To be able to evaluate investment projects. | 8͵10 | 1͵2 |
2 | To be able to apply sensitivity analysis | 1͵5͵9 | 1͵2 |
3 | To be able to select optimal portfolios and apply optimization process | 1͵7͵10 | 1͵2 |
4 | To be able to apply security valuation models | 1͵9͵10 | 1͵2 |
5 | To be able to explain single and multi variable regression analysis | 5͵9͵10 | 1͵2 |
6 | To be able to solve fundamental financial mathematics problems | 8͵10 | 1͵2 |
7 | To be able to solve oprion pricing models. | 1͵10 | 1͵2 |
Not: Ölçme ve Değerlendirme sütununda belirtilen sayılar, bir üstte bulunan Ölçme ve Değerlerndirme Sistemi başlıklı tabloda belirtilen çalışmaları işaret etmektedir.
İş Yükü Detayları
# | Etkinlik | Adet | Süre (Saat) | İş Yükü |
---|---|---|---|---|
0 | Course Duration | 14 | 3 | 42 |
1 | Course Duration Except Class (Preliminary Study, Enhancement) | 14 | 3 | 42 |
2 | Presentation and Seminar Preparation | 0 | 0 | 0 |
3 | Web Research, Library and Archival Work | 0 | 0 | 0 |
4 | Document/Information Listing | 0 | 0 | 0 |
5 | Workshop | 0 | 0 | 0 |
6 | Preparation for Midterm Exam | 1 | 0 | 0 |
7 | Midterm Exam | 1 | 12 | 12 |
8 | Quiz | 0 | 0 | 0 |
9 | Homework | 10 | 3 | 30 |
10 | Midterm Project | 0 | 0 | 0 |
11 | Midterm Exercise | 0 | 0 | 0 |
12 | Final Project | 1 | 0 | 0 |
13 | Final Exercise | 0 | 0 | 0 |
14 | Preparation for Final Exam | 1 | 10 | 10 |
15 | Final Exam | 1 | 16 | 16 |
152 |