Researcher:
Yılmaz, Emrah

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Master Student

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Emrah

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Yılmaz

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Yılmaz, Emrah

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2014 - 20172

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Researcher Of Publications: search.filters.isAuthorOfPublication.cd44ce9e-8256-4275-ab7b-1ff123d1e7f1

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    Foreign ownership and bank efficiency: evidence from Turkey
    (IGI Global, 2014) Department of Business Administration; N/A; Akdeniz, Özlem Olgu; Yılmaz, Emrah; Teaching Faculty; Master Student; Department of Business Administration; College of Administrative Sciences and Economics; Graduate School of Social Sciences and Humanities; 113156; N/A
    This chapter examines the association between Foreign Direct Investment (FDI) and efficiency of commercial banks in Turkey during the 2003-2010 period. First, the authors examine the technical efficiency of banks by applying the Data Envelopment Analysis (DEA) and financial ratio analysis following the relevant literature. Then, they attempt to shed light on the relationship between FDI and bank efficiency applying a second stage regression analysis. The results indicate that banks that have received FDI are more efficient than others whilst there is no significant correlation among the FDI dummy and bank efficiency in Turkey. Moreover, the analysis of balance sheet ratios suggests that foreign investors target more profitable and larger banks in the sector to form partnerships. Thus, consistent with Berger et al. (2003), the authors propose that efficiency is a pre-condition rather than a result of FDI in the Turkish banking sector.
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    Cross-selling investment products with a win-win perspective in portfolio optimization
    (Informs, 2017) Özçelik, M. Hamdi; Department of Business Administration; Department of Business Administration; Department of Business Administration; N/A; Ali, Özden Gür; Akçay, Yalçın; Sayman, Serdar; Yılmaz, Emrah; Faculty Member; Faculty Member; Faculty Member; PhD Student; Department of Business Administration; College of Administrative Sciences and Economics; College of Administrative Sciences and Economics; College of Administrative Sciences and Economics; Graduate School of Business; 57780; 51400; 112222; N/A
    We propose a novel approach to cross-selling investment products that considers both the customers' and the bank's interests. Our goal is to improve the risk-return profile of the customer's portfolio and the bank's profitability concurrently, essentially creating a win-win situation, while deepening the relationship with an acceptable product. Our cross-selling approach takes the customer's status quo bias into account by starting from the existing customer portfolio, rather than forming an efficient portfolio from scratch. We estimate a customer's probability of accepting a product offer with a predictive model using readily available data. Then, we model the investment product cross-selling problem as a nonlinear mixed-integer program that maximizes a customer's expected return from the proposed portfolio, while ensuring that the bank's profitability improves by a certain factor. We implemented our methodology at the private banking division of Yapi Kredi, the fourth-largest private bank in Turkey. Empirical results from this application illustrate that (1) a traditional mean-variance portfolio optimization approach does not increase portfolio returns and reduces overall bank profits, (2) a standard cross-selling approach increases bank profits at the expense of the customers' portfolio returns, and (3) our win-win approach increases the expected portfolio returns of customers without increasing their variances, while simultaneously improving bank profits substantially.