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Enflasyon Volatilitesinin Otoregresif Koşullu Değişen Varyans Modelleri ile İncelenmesi: Türkiye Örneği

Yıl 2024, Cilt: 38 Sayı: 4, 238 - 244, 15.10.2024
https://doi.org/10.16951/trendbusecon.1521577

Öz

Türkiye ekonomisinde son on yılda yaşanan aşırı fiyat artışları, ülke ekonomisinde önemli bir refah kaybına sebebiyet vermiş olup enflasyondaki fiyat artışlarının kalıcılığının literatürde yeterli sayıda incelenmediği gözlemlenmiştir. Bu çalışmadaki temel amaç 2005M01-2024M04 zaman serisini baz alarak fiyat artışlarının kalıcı olup olmadığını ampirik analizlerle sorgulamaktır. Geleneksel birim kök testleriyle enflasyon serisinin durağanlığının incelendiği çalışmada, enflasyondaki şokların kalıcılığını araştırmak için otoregresif koşullu değişen varyans modellerinden yararlanılmıştır. Elde edilen bulgulara göre, Türkiye için enflasyondaki volatilitenin kalıcı olduğu tespit edilmiş, sonuçlar değerlendirilerek politika önerisinde bulunulmuştur.

Kaynakça

  • Amano, R. (2007). Inflation persistence and monetary policy: A simple result. Economics Letters, 94, 26-31. [CrossRef]
  • Balcılar, M. (2004). Persistence in inflation: Does aggregation cause long memory? Emerging Markets Finance and Trade, 40(5), 25-56. [CrossRef]
  • Berument, H., Yalcin, Y., & Yildirim, J. (2009). The effect of inflation uncertainty on inflation: Stochastic volatility in mean model within a dynamic framework. Economic Modelling, 26, 1201-1207. [CrossRef]
  • Berument, M. H., & Sahin, A. (2010). Seasonality in inflation volatility: Evidence from Turkey. Journal of Applied Economics, 13(1), 39-65. [CrossRef]
  • Bilici, B., & Çekin, S. E. (2020). Inflation persistence in Turkey: A TVP-estimation approach. The Quarterly Review of Economics and Finance, 78, 64-69. [CrossRef]
  • Bollerslev, T. (1986). Generalized autoregressive conditional heteroscedasticity. Journal of Econometrics, 31, 307–327. [CrossRef]
  • Caporale, G. M., Gil-Alana, L. A., & Trani, T. (2020). On the persistence of UK inflation: A long-range dependence approach. International Journal of Finance & Economics, 27, 439-454. [CrossRef]
  • Dickey, D. A., & Fuller, W. A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root, Econometrica, 49, 1057-1072. [CrossRef]
  • Edwards, S. (1989). Real exchange rates, devaluation and adjustment: Exchange rate policies in developing countries. Cambridge: MIT Press. [CrossRef]
  • Engle, R. F. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1008. [CrossRef]
  • Erlat, H. (2001). Long memory in Turkish inflation rates. Topics in Middle Eastern and African Economies, 3, 1-18. [CrossRef]
  • Eygü, H., Aksu, H., & Moavia, M. A. U. (2016). Inflation prediction and inflation volatility for Turkey. Mediterranean Journal of Social Sciences, 7(1), 361-368. [CrossRef]
  • Fasanya, I. O., & Adekoya, O. B. (2017). Modelling inflation rate volatility in Nigeria with structural breaks. CBN Journal of Applied Statistics, 8(1), 175-193. [CrossRef]
  • Hossain, A., & Raghavan, M. (2019). Drivers of inflation and inflation volatility and their effects on macroeconomic fluctuations in Indonesia and Thailand (7 Eylül). [CrossRef]
  • Iddrisu, A. K., Otoo, D., Abdul, I. W., & Ankamah, S. (2019). Modeling and forecasting of Ghana’s inflation volatility. American Journal of Industrial and Business Management, 9, 930-949. [CrossRef]
  • Korkmaz, Ö. (2019). Kredi kullanım oranları ile enflasyon oranları arasındaki ilişki: Türkiye üzerine bir inceleme. Maliye Dergisi, 176, 98-127. [CrossRef]
  • Kuncoro, H., Fafurida, F., & Jamil, I. A. B. A. (2024). Growth volatility in the inflation-targeting regime: evidence from Indonesia. Quantitative Finance and Economics, 8(2), 235–254. [CrossRef]
  • Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that the economic time series have a unit root? Journal of Econometrics, 54, 159-178. [CrossRef]
  • Marques, C. B. (2004). Inflation persistence: Facts or artefacts? European Central Bank Working Paper Series, No.371. [CrossRef]
  • Montiel, P.J. (2003). Macroeconomics in Emerging Markets. Cambridge: Cambridge University Press. [CrossRef]
  • Nelson, D. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347-370. [CrossRef]
  • Oliveira, F. N., & Petrassi, M. (2010). Is inflation persistence over? Banco Central do Brasil Working Paper Series, No. 230. [CrossRef]
  • Omotosho, B. S., & Doguwa, S. I. (2012). Understanding the dynamics of inflation volatility in Nigeria: A GARCH perspective. CBN Journal of Applied Statistics, 3(2), 51-74. [CrossRef]
  • Özcan, M. (2022). Türkiye’de enflasyon yapışkanlığının asimetrik yöntemler ile incelenmesi. Ekonomi, Politika & Finans Araştırmaları Dergisi, 7(Özel Sayı),106-122. [CrossRef]
  • Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. [CrossRef]
  • Pivetta, F., & Reis, R. (2007). The persistence of inflation in the United States. Journal of Economic Dynamics & Control, 31, 1326–1358. [CrossRef]
  • Poole, W., & Wheelock, D. C. (2008). Stable prices, stable Economy: Keeping inflation in check must be No. 1 goal of monetary policymakers. Regional Economist, 4-9. [CrossRef]
  • Rizvi, S. K. A., Naqvi, B., Bordes, C., & Mirza, N. (2014). Inflation volatility: An Asian perspective. Economic Research-Ekonomska Istraživanja, 27(1), 280-303. [CrossRef]
  • Siklos, P. L. (1999). Inflation target design: Chancing inflation performance and persistence in industrial countries. Federal Reserve Bank of St.Louis Review, 47-58. [CrossRef]
  • Tarı, R. (2018). Ekonometri. Genişletilmiş 13. Baskı, Kocaeli: Umuttepe Yayınları.
  • Tunay, K.B. (2009). Türkiye’de enflasyon sürekliliğinin ABKBHO modelleriyle analizi. Öneri Dergisi, 8(31), 249-257. [CrossRef]
  • Türkiye Cumhuriyet Merkez Bankası. TÜFE (Yıllık % Değişim) Verileri (Erişim Tarihi: 07.06.2024).
  • Uğurlu, E. (2019). ARCH/GARCH modelleri: EViews uygulaması. Ders Notları (3), 1-28. [CrossRef]
  • Yıldırım, H., & Bekun, F. V. (2023). Predicting volatility of bitcoin returns with ARCH, GARCH and EGARCH models. Future Business Journal, 9(75). [CrossRef]

Examining the Inflation Volatility with Autoregressive Conditional Heteroscedasticity Models: The Case of Türkiye

Yıl 2024, Cilt: 38 Sayı: 4, 238 - 244, 15.10.2024
https://doi.org/10.16951/trendbusecon.1521577

Öz

The extreme price increases experienced in the Turkish economy in the last decade have caused a significant loss of welfare in the country's economy, and it has been observed that the persistence of price increases in inflation has not been examined sufficiently in the literature. The main purpose of this study is to question whether price increases are persistent through empirical analysis, based on the 2005M01-2024M04 time series. In the study where the stationarity of the inflation series has been examined with traditional unit root tests, autoregressive conditional heteroscedasticity models have been used to investigate the persistence of shocks in inflation. According to the findings, it has been determined that the volatility in inflation for Türkiye is persistent, and policy implications have been made by evaluating the results.

Kaynakça

  • Amano, R. (2007). Inflation persistence and monetary policy: A simple result. Economics Letters, 94, 26-31. [CrossRef]
  • Balcılar, M. (2004). Persistence in inflation: Does aggregation cause long memory? Emerging Markets Finance and Trade, 40(5), 25-56. [CrossRef]
  • Berument, H., Yalcin, Y., & Yildirim, J. (2009). The effect of inflation uncertainty on inflation: Stochastic volatility in mean model within a dynamic framework. Economic Modelling, 26, 1201-1207. [CrossRef]
  • Berument, M. H., & Sahin, A. (2010). Seasonality in inflation volatility: Evidence from Turkey. Journal of Applied Economics, 13(1), 39-65. [CrossRef]
  • Bilici, B., & Çekin, S. E. (2020). Inflation persistence in Turkey: A TVP-estimation approach. The Quarterly Review of Economics and Finance, 78, 64-69. [CrossRef]
  • Bollerslev, T. (1986). Generalized autoregressive conditional heteroscedasticity. Journal of Econometrics, 31, 307–327. [CrossRef]
  • Caporale, G. M., Gil-Alana, L. A., & Trani, T. (2020). On the persistence of UK inflation: A long-range dependence approach. International Journal of Finance & Economics, 27, 439-454. [CrossRef]
  • Dickey, D. A., & Fuller, W. A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root, Econometrica, 49, 1057-1072. [CrossRef]
  • Edwards, S. (1989). Real exchange rates, devaluation and adjustment: Exchange rate policies in developing countries. Cambridge: MIT Press. [CrossRef]
  • Engle, R. F. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1008. [CrossRef]
  • Erlat, H. (2001). Long memory in Turkish inflation rates. Topics in Middle Eastern and African Economies, 3, 1-18. [CrossRef]
  • Eygü, H., Aksu, H., & Moavia, M. A. U. (2016). Inflation prediction and inflation volatility for Turkey. Mediterranean Journal of Social Sciences, 7(1), 361-368. [CrossRef]
  • Fasanya, I. O., & Adekoya, O. B. (2017). Modelling inflation rate volatility in Nigeria with structural breaks. CBN Journal of Applied Statistics, 8(1), 175-193. [CrossRef]
  • Hossain, A., & Raghavan, M. (2019). Drivers of inflation and inflation volatility and their effects on macroeconomic fluctuations in Indonesia and Thailand (7 Eylül). [CrossRef]
  • Iddrisu, A. K., Otoo, D., Abdul, I. W., & Ankamah, S. (2019). Modeling and forecasting of Ghana’s inflation volatility. American Journal of Industrial and Business Management, 9, 930-949. [CrossRef]
  • Korkmaz, Ö. (2019). Kredi kullanım oranları ile enflasyon oranları arasındaki ilişki: Türkiye üzerine bir inceleme. Maliye Dergisi, 176, 98-127. [CrossRef]
  • Kuncoro, H., Fafurida, F., & Jamil, I. A. B. A. (2024). Growth volatility in the inflation-targeting regime: evidence from Indonesia. Quantitative Finance and Economics, 8(2), 235–254. [CrossRef]
  • Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that the economic time series have a unit root? Journal of Econometrics, 54, 159-178. [CrossRef]
  • Marques, C. B. (2004). Inflation persistence: Facts or artefacts? European Central Bank Working Paper Series, No.371. [CrossRef]
  • Montiel, P.J. (2003). Macroeconomics in Emerging Markets. Cambridge: Cambridge University Press. [CrossRef]
  • Nelson, D. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347-370. [CrossRef]
  • Oliveira, F. N., & Petrassi, M. (2010). Is inflation persistence over? Banco Central do Brasil Working Paper Series, No. 230. [CrossRef]
  • Omotosho, B. S., & Doguwa, S. I. (2012). Understanding the dynamics of inflation volatility in Nigeria: A GARCH perspective. CBN Journal of Applied Statistics, 3(2), 51-74. [CrossRef]
  • Özcan, M. (2022). Türkiye’de enflasyon yapışkanlığının asimetrik yöntemler ile incelenmesi. Ekonomi, Politika & Finans Araştırmaları Dergisi, 7(Özel Sayı),106-122. [CrossRef]
  • Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. [CrossRef]
  • Pivetta, F., & Reis, R. (2007). The persistence of inflation in the United States. Journal of Economic Dynamics & Control, 31, 1326–1358. [CrossRef]
  • Poole, W., & Wheelock, D. C. (2008). Stable prices, stable Economy: Keeping inflation in check must be No. 1 goal of monetary policymakers. Regional Economist, 4-9. [CrossRef]
  • Rizvi, S. K. A., Naqvi, B., Bordes, C., & Mirza, N. (2014). Inflation volatility: An Asian perspective. Economic Research-Ekonomska Istraživanja, 27(1), 280-303. [CrossRef]
  • Siklos, P. L. (1999). Inflation target design: Chancing inflation performance and persistence in industrial countries. Federal Reserve Bank of St.Louis Review, 47-58. [CrossRef]
  • Tarı, R. (2018). Ekonometri. Genişletilmiş 13. Baskı, Kocaeli: Umuttepe Yayınları.
  • Tunay, K.B. (2009). Türkiye’de enflasyon sürekliliğinin ABKBHO modelleriyle analizi. Öneri Dergisi, 8(31), 249-257. [CrossRef]
  • Türkiye Cumhuriyet Merkez Bankası. TÜFE (Yıllık % Değişim) Verileri (Erişim Tarihi: 07.06.2024).
  • Uğurlu, E. (2019). ARCH/GARCH modelleri: EViews uygulaması. Ders Notları (3), 1-28. [CrossRef]
  • Yıldırım, H., & Bekun, F. V. (2023). Predicting volatility of bitcoin returns with ARCH, GARCH and EGARCH models. Future Business Journal, 9(75). [CrossRef]
Toplam 34 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Finansal Ekonomi
Bölüm Araştırma Makaleleri
Yazarlar

Uğur Ayık 0000-0002-4181-2289

Hüseyin Özer 0000-0003-4915-6447

Erken Görünüm Tarihi 9 Ekim 2024
Yayımlanma Tarihi 15 Ekim 2024
Gönderilme Tarihi 24 Temmuz 2024
Kabul Tarihi 5 Eylül 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 38 Sayı: 4

Kaynak Göster

APA Ayık, U., & Özer, H. (2024). Enflasyon Volatilitesinin Otoregresif Koşullu Değişen Varyans Modelleri ile İncelenmesi: Türkiye Örneği. Trends in Business and Economics, 38(4), 238-244. https://doi.org/10.16951/trendbusecon.1521577

Content of this journal is licensed under a Creative Commons Attribution 4.0 International License

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