Become a Readings Member to make your shopping experience even easier. Sign in or sign up for free!

Become a Readings Member. Sign in or sign up for free!

Hello Readings Member! Go to the member centre to view your orders, change your details, or view your lists, or sign out.

Hello Readings Member! Go to the member centre or sign out.

Application of Capital Asset Pricing (Capm) and Arbitrage Pricing Theory (Apt) Models in Athens Exchange Stock Market
Paperback

Application of Capital Asset Pricing (Capm) and Arbitrage Pricing Theory (Apt) Models in Athens Exchange Stock Market

$199.99
Sign in or become a Readings Member to add this title to your wishlist.

Seminar paper from the year 2007 in the subject Business economics - Investment and Finance, grade: 90.0%, language: English, abstract: This paper examines the estimating and forecasting performance of the different and various Generalized Autoregressive Conditional Heteroscedasticity-GARCH’s models in relation to Capital Asste Pricing Model (CAPM) model. We apply the CAPM model with ordinary least squares (OLS) method to investigate if an ARCH (Autoregressive Conditional Heteroscedasticity) is presented and we are trying to decide and to analyze which GARCH model is the most appropriate and the best fitted for the financial time series that we have chosen. We apply CAPM model in the financial time series of the share prices of Technology-Software Sector in Athens Exchange stock market for the period January 1st of 2002 to October 30th of 2007 for the enterprises Unibrain
MLS Informatics and Dionic respectively, from April 2nd of 2002 to 30th October of 2007 for the enterprise Compucon, from August 2nd of 2002 to 30th October of 2007 for the enterprise Centric, and finally from February 2nd of 2004 to 30th October of 2007 for the enterprise Ilyda. Additionally, we apply roiling regressions, where the full programming routines in EVIEWS and MATLAB are described detailed. We conclude that the slope
coefficient of CAPM model is not constant through the time period of rolling regressions we apply. In the final part we examine a simple Arbitrage Pricing Theory (APT) model.

Read More
In Shop
Out of stock
Shipping & Delivery

$9.00 standard shipping within Australia
FREE standard shipping within Australia for orders over $100.00
Express & International shipping calculated at checkout

MORE INFO
Format
Paperback
Publisher
Grin Publishing
Country
Germany
Date
31 March 2010
Pages
100
ISBN
9783640576593

Seminar paper from the year 2007 in the subject Business economics - Investment and Finance, grade: 90.0%, language: English, abstract: This paper examines the estimating and forecasting performance of the different and various Generalized Autoregressive Conditional Heteroscedasticity-GARCH’s models in relation to Capital Asste Pricing Model (CAPM) model. We apply the CAPM model with ordinary least squares (OLS) method to investigate if an ARCH (Autoregressive Conditional Heteroscedasticity) is presented and we are trying to decide and to analyze which GARCH model is the most appropriate and the best fitted for the financial time series that we have chosen. We apply CAPM model in the financial time series of the share prices of Technology-Software Sector in Athens Exchange stock market for the period January 1st of 2002 to October 30th of 2007 for the enterprises Unibrain
MLS Informatics and Dionic respectively, from April 2nd of 2002 to 30th October of 2007 for the enterprise Compucon, from August 2nd of 2002 to 30th October of 2007 for the enterprise Centric, and finally from February 2nd of 2004 to 30th October of 2007 for the enterprise Ilyda. Additionally, we apply roiling regressions, where the full programming routines in EVIEWS and MATLAB are described detailed. We conclude that the slope
coefficient of CAPM model is not constant through the time period of rolling regressions we apply. In the final part we examine a simple Arbitrage Pricing Theory (APT) model.

Read More
Format
Paperback
Publisher
Grin Publishing
Country
Germany
Date
31 March 2010
Pages
100
ISBN
9783640576593