Abstract
This paper aims to compare the volatility forecasting performance of linear and nonlinear models for ISE-30 future index which is traded in Turkish Derivatives Exchangefor the period between 04.02.2005-17.06.2011. As a result of analyses, we conclude that ANN model has better forecasting performance than traditional ARCH-GARCH models. This result is important in many fields of finance such as investment decisions, asset pricing, portfolio allocation and risk management
Keywords
- Volatility Forecasting Search this journal for Volatility Forecasting (opens in a new tab)
- ARCH-GARCH Models Search this journal for ARCH-GARCH Models (opens in a new tab)
- Artifical Neural Network Search this journal for Artifical Neural Network (opens in a new tab)
- Turkish Derivative Exchange Search this journal for Turkish Derivative Exchange (opens in a new tab)
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Copyright (c) 2013 Yasemin Deniz Akarım, Soner Akkoc (Author)

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Keywords
- Volatility Forecasting Search this journal for Volatility Forecasting (opens in a new tab)
- ARCH-GARCH Models Search this journal for ARCH-GARCH Models (opens in a new tab)
- Artifical Neural Network Search this journal for Artifical Neural Network (opens in a new tab)
- Turkish Derivative Exchange Search this journal for Turkish Derivative Exchange (opens in a new tab)
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