Kantar, Lokman2024-09-112024-09-112021978-303054108-8978-303054107-1https://doi.org/10.1007/978-3-030-54108-8_12https://hdl.handle.net/11363/8576The financial liberalization that began in the last quarter of the twentieth century caused sudden movements in the currencies and financial assets of the countries. These sudden movements are called volatility. Sudden price changes in financial assets made it difficult to predict the future and increased the risks of financial assets. Investors wishing to invest in financial assets wanted to estimate the price of assets correctly to minimize their risks; this has revealed the need for accurate determination of volatility. Since the changes in asset prices are not linear, volatilities in prices are determined by nonlinear methods. This chapter discusses the GARCH models (GARCH, GJR, EGARCH), which are nonlinear models, and tests the validity of these models through a Turkey application on exchange rate volatility. The findings of the study have indicated that the GARCH (1,1) model successfully explained the volatility in the exchange rate. © The Authors 2021. All rights reserved.eninfo:eu-repo/semantics/closedAccessARCH; EGARCH; Exchange Rate; GARCH; TGARCH; VolatilityBook Chapter28730010.1007/978-3-030-54108-8_122-s2.0-85148975003N/A