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- W2118811803 abstract "In this study, we analyze the sensitivity of firms in Turkey's financial sector to fluctuations in exchange rates by using a market model. The existence of structural breaks is taken into account through the shifts in volatility by using the Iterated Cumulative Sum of Squares (ICSS) algorithm. We also aim to identify some firm-specific factors that indicate statistically significant exchange-rate exposure. The method we use is the binary logistic model. Our findings show that block/family ownership is important for exchange-rate exposure and that it increases the probability of observing significant exposure. Firm age is significant but its sign is different for different sectors. ROE has a positive impact on the banking and insurance sub-sectors, while firm size impacts that probability, as expected, with a negative sign." @default.
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- W2118811803 date "2009-07-01" @default.
- W2118811803 modified "2023-10-17" @default.
- W2118811803 title "Exchange-Rate Exposure and the Financial Sector" @default.
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