The research presented in this thesis addresses different aspects of dynamic portfolio construction and portfolio risk measurement. It brings the research on dynamic portfolio optimization, replicating portfolio construction, dynamic portfolio risk measurement and volatility forecast together....

We test whether the selected cryptocurrencies exhibit long memory behavior in returns and volatility. We use data on five most traded cryptocurrencies: Bitcoin, Litecoin, Ethereum, Bitcoin Cash, and XRP. Using recent tests of long memory developed against persistent and nonlinear alternatives,...

In this paper, we evaluate alternative optimization frameworks for constructing portfolios of hedge funds. Using monthly hedge fund index returns for the period 1990 to 2011, we compare the standard mean-variance optimization model with models based on CVaR, CDaR and Omega, for both conservative...

Turkish Abstract: Çalışmada, İMKB 100 endeksinin 1995-2004 dönemine ait günlük ve haftalık verileri kullanılarak, finansal verilerde sıkça rastlanan volatilite kümelenmesi, asimetrik fiyat hareketleri, kaldıraç etkisi ve kalın kuyruk özellikleri araştırılmış, volatiliteyi...

English Abstract:In this study, neural network models are introduced and employed for the classification of failed non-failed banks prior to the failure of banks. To perform classification 36 financial and operational ratio of banks operating in Turkey were used as an input to the models. Two...

Turkish Abstract: En eski fakat az bilinen riskin, yani operasyonel riskin yönetimi ihtiyacı, 1990'lı yıllarda meydana gelen tanınmış yüksek tutarlı operasyonel kayıp olaylarından sonra artmıştır. Operasyonel riskin yönetimi, yalnızca finansal değil, aynı zamanda tüm diğer...

We employ neural network models to forecast the direction and the level of change in Istanbul Stock Exchange (ISE) Composite Index and 10 sector indices. We use 7 domestic and 15 international economic variables and stock indices. Three types of forecast methods were employed for each sector...