TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14365/4
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Article Volatility Transmission Between Housing and Stock Markets in Europe: a Multivariate Garch Perspective(Ege Univ, Fac Economics & Admin Sciences, 2018) Vardar, Gulin; Aydogan, BernaOver the past decade, the significant changes in the prices of stock and real estate markets have intensified the interest of heightened concern about volatility in these markets. This paper deals with the dynamic return and volatility transmissions across real estate and stock markets in European countries over the period from 1985:Q1 through 2017:Q1. Using VAR-BEKK-GARCH model, we find significant evidence supporting shock and volatility spillover effects from real estate to stock markets in Denmark, Finland, Ireland and Spain whereas evidence running from stock to real estate markets is found in Spain, Sweden and Italy. In contrast, there is no evidence of any such spillovers in Belgium. Overall, these empirical findings provide fresh insights and policy implications in cross-market volatility spillovers for domestic and international investors, and also policy makers, through the potential for improved risk management and more efficient portfolio diversification.Article Citation - WoS: 2An Analysis of Factors Affecting Credit Scoring Performance in Smes(Ege Univ, Fac Economics & Admin Sciences, 2019-04-30) Saygili, Ebru; Saygılı, Arıkan Tarık; Isik, Gokhan; Esendemirli, EbruIn small and medium enterprises (SMEs), both financial and non-financial indicators related to the company and the large shareholder have significant effects on credit scores. This study explores the hybrid nature of SME credit scoring systems by developing an SME credit scoring model with general indicators, financial indicators and intelligence indicators related to the company and the major shareholder. This study is the first to explore the effect of intelligence indicators in credit scoring. It used regression analysis to evaluate real data from 125 SMEs operating in Turkey. Of 17 independent variables, 9 had statistically significant relationships with SME credit scores. The paper includes a comprehensive discussion of the implications of these findings.