Analysis of the Volatility of Turkey’s CDS Spreads Using GARCH Models

Yıl 2020, Cilt: 35 Sayı: 1, 113 - 122, 31.03.2020

Mehmet Ozan Özdemir , Hamdi Emeç

https://doi.org/10.24988/ije.202035109

Cited By: 3

Öz

Credit derivative products are financial contracts that were started to be used in the financial markets in the 1990s to minimize the credit risk and were created to reduce or eliminate credit risk exposure by providing insurance against losses arising from credit events. The main function of the credit default swap (CDS), which is one of the most used credit derivative products, is to transfer the credit risk. The aim of this study is to predict the volatility of CDS spreads using GARCH models considering symmetric and asymmetric effects with normal, student-t, GED and skewed-t distributions and comparing forecasting performances. We analyze Turkey’s daily CDS spreads for the period January 1st 2010 - October 30th 2019. The results show that the models considering the asymmetric effect and the fat-tailed distributions tend to produce better results.

Anahtar Kelimeler

Credit Default Swap Spreads, Volatility, GARCH, Forecasting Models

Tek Değişkenli GARCH Modelleri İle Türkiye’nin CDS Primi Oynaklığının Analizi

Öz

Kredi türev ürünleri, kredi riskini minimize etmek için 1990’lı yıllarda finans piyasalarında kullanılmaya başlanmış ve kredi olaylarından kaynaklanan zararlara karşı sigorta sağlayarak, kredi riskine maruz kalmayı azaltmak veya ortadan kaldırmak için oluşturulmuş finansal sözleşmelerdir. En çok kullanılan kredi türev ürünlerinden biri olan kredi temerrüt takasının (CDS) temel işlevi kredi riskini dağıtmaktır. Bu çalışmanın amacı; CDS prim oynaklığını, normal, student-t, GED ve skewed-t dağılımları kullanarak simetrik ve asimetrik etkileri dikkate alan GARCH modelleri ile tahminlemek ve öngörü performanslarını karşılaştırmaktır. Bu amaç doğrultusunda 01 Ocak 2010 ile 30 Ekim 2019 tarihleri arasındaki günlük CDS risk primleri kullanılmıştır. Elde edilen sonuçlar asimetrik etkiyi dikkate alan modellerin ve kalın kuyruklu dağılımların daha iyi sonuçlar ortaya koyduğunu göstermektedir.

Anahtar Kelimeler

Kredi Temerrüt Takas Primi, Oynaklık, GARCH, Öngörümleme

Kaynakça

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