Interest free financial instruments and investigating the long term co- movements between conventional financial instruments
2019
0 views
0 downloads
Advisor: Prof. Dr. Ali Hepşen
Abstract (EN)
In the late of 2011, new financial instruments which is called lease certificate or the common global name sukuk, has been introduced to Turkish financial market. Undoubtedly, new variety of financial instruments and services are beneficial in terms of market depth and utility. Sukuk market receives many attention from institutional investors and asset managers due to high returns, lower correlation and growth potentiality. In this paper, we contribute to the on-going discussion on whether sukuk markets provide international diversification benefits for conventional fixed income portfolio investor. To proxy international sukuk and bond portfolio, we use FTSE fixed income indexes. In empirically modelling we utilise both Engle- Granger and Johansen co-integration method to investigate long term co-movement. We also employ Vector Error Correction Model for further investigation to see the power of relationship between indexes. We observe that, International Sukuk Index provide international diversification benefits for most of the other fixed income portfolio indexes.
Author
Dr. Berkan Ataş
Institution
How to Cite
Berkan Ataş (Doctorate thesis). Interest free financial instruments and investigating the long term co- movements between conventional financial instruments, 2019, İstanbul University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from İstanbul University
- In the covid 19 pandemic of female employees at a university hospital attitudes and affecting factors in nutrition of 9 months-6 years old children(2022)
- The perception of the right-wing movements in Turkey as to the 27 May Coup: 1960-1980(2020)
- Economic and social life in the Ottoman Empire according to the 1890 year's news of La Turquie Newspaper(2022)
- Land regime in the Umayyads period(2022)
- Merkel hücreli karsinomda tanısal ve prognostik belirteçler(2022)
- Use of machine learning methods in classification of respiratory system diseases(2021)