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Analyzing The Effect of Monetary Policies and Financial Stability Measures Across Global Markets amid Covid-19 Pandemics

Yıl 2024, Cilt: 7 Sayı: 2, 111 - 141, 20.12.2024
https://doi.org/10.56206/husbd.1525892

Öz

This study investigates causal relationships among financial stability measures and monetary policies implemented in US, EU and Turkey. Selected variables from stock markets, money markets, and bond markets are tested. The set of macrofinancial process covers S&P500 stock market, BIST-100 stock market; Volatility index; German, US and Turkey 10-year treasury bond interest data, European Union 27 average CPI, US CPI, Turkey CPI, ECB policy rate, FED policy rate, CBRT policy rate data. The Granger causality analysis is applied for first; each dataset of US, EU and the Turkish economy, separately. Second, mutual impact of stock markets, money markets and bond markets are examined. Finally CBOE Volatility index (VIX) is taken into account. It is aimed to observe spillover effects from developed economies to emerging markets amid pandemics. The dataset covers the monthly period of 2019M1 to 2023M6.

Kaynakça

  • Akbakay, Z. (2018). Avrupa Merkez Bankasının Para Politikası: Fiyat İstikrarının Niceliksel Tanımı ve İki Sütunlu Analiz Yaklaşımı, Balkan Journal of Social Sciences, 14, 1-13.
  • Aytekin İ. and Uçan O. (2022). Döviz Kuru Enflasyon ve Dış Ticaret Arasındaki İlişkinin Ekonometrik bir Analizi:Türkiye Örneği, Academic Review of Economics and Administrative Sciences, 460–475.
  • Aytüre S. and Keskin M. (2024). The Relationship between the Istanbul Stock Market and Türkiye’s Foreign Trade, BMIJ Journal, 12 (2), 345-355. Doi:10.15295.
  • Baek S., Mohanty S.K. and Glambosky M. (2020). Covid-19 and Stock Market Volatility: An Industry Level Analysis. Finance Research Letters, 1-10.
  • Baker, S.R. et.al. (2020). The Unprecedented Stock Market Impact of Covid-19, NBER Working Paper Series. Working Paper 26945, 1-22.
  • Bernanke, B. S. and Kuttner, K. N. (2005). What Explains the Stock Market’s Reaction to Federal Reserve Policy?. The Journal of Finance, 60 (3), 1057- 1592.
  • Coşkuner M. and Özer A. (2024). Döviz Kuru ve Enflasyonun Hisse Senedi Getirisi Üzerindeki Etkisi- Balıkesir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 5(1), 15-24
  • Dickey, D. A. and Fuller, W. A. (1979). Distribution of Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 427-431.
  • Dickey, D. A. and Fuller, W. A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root. Econometrica, 1057-1072.
  • Engle, R. and Granger C.W.J. (1987). Co-integration and Error Correction: Representation, Estimation, Testing. Econometrica, 55, 251-276.
  • Engle, R.F., Ghysels, E. and Sohn, B. (2013). Stock Volatility and Macroeconomic Fundamentals. The Review of Economics and Statistics 95 (3): 776-797.
  • Fama, Eugene F. and Kenneth R. French,(1989). Business Conditions and Expected Returns on Stock and Bonds, Journal of Financial Economics, 23-49.
  • Fama, Eugene F. (1976). Inflation Uncertainty and the Expected Returns on Treasury Bills; Journal of Political Economy, 84 (3), 427-448.
  • Fama, Eugene F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work; The Journal of Finance, 25 (2) , Papers and Proceedings of the Twenty-Eighth Annual Meeting of the American Finance Association New York, 383-417.
  • Fama, Eugene F. and Schwert G.W. (1977). Asset Returns and Inflation; Journal of Financial Economics,5(2), 115- 146
  • Farokhnia K. and Osterrieder J. (2020). High Frequency Causality between Stochastic Volatility Time Series: Empirical Evidence, 1-15.
  • Geske, R. and Roll, R. (1983). The Fiscal and Monetary Linkage between Stock Returns and Inflation; The Journal of Finance, 1-33. Doi: 10.1111/j.1540- 6261.1983.
  • Granger, C. W. J. and Newbold, P. (1977). Forecasting Economic Time Series. New York: Academic Press. ISBN 0122951506
  • Granger, C. W. J .(1987). Co-Integration and Error Correction: Representation, Estimation, and Testing; Econometrica, 55 (2), 251-276.
  • Koç, H. (2020). Trilemma Hipotezi: Türkiye Ekonomisi Üzerine arklı bir Perspektif. İstanbul İktisat Dergisi, 383-412.
  • Lutkepohl, H. and Kratzig, M. (2005). Applied Time Series Econometrics. Cambridge University Press.
  • Lutkepohl, H. and Netsunajev, A. (2018). The Relation between Monetary Policy and the Stock Market in Europa. Econometrics, 6-36.
  • Meher K.B., Hawaldar I.T., Mohapatra L. and Sares A.M. (2020). The Impact of Covid-19 on Price of Crude Oil and Natural Gas Listed on Multi Commodity Exchange of India. International Journal of Energy Economics and Policy, 422-431.
  • Mishkin, F.S. (2013). The Economics of Money, Banking and Financial Markets (10th edition.). The Pearson Series in Economics.
  • Molnár A. and Csiszárik-Kocsir, Á. (2022). Forecasting Economic Growth with the Hungarian Composite Stock Market Index – a Granger Causality Test. Acta Polytechnica Hungarica 19 (8), 205-227.
  • Ohmura, H. (2020). The Connection between Stock Market Prices and Political Support: Evidence From Japan. Applied Economic Letters,1-7
  • Özkaya, A. (2022). Non-linear Dynamics and Recurrent Patterns in Stock Markets: A Comparison between BIST-100 and S&P500 Indices. OÜSOBİAD 12 (2), 1365-1380, Doi: 10.48146/odusobiad.1123224, 1365-1380.
  • Özkaya, A. and Altun Ö. (2024). Domestic and Global Causes for Exchange Rate Volatility: Evidence from Turkey. SAGE Open 14 (2), 1-14.
  • Özmen, M., Karlılar, S. and Karlılar, G. (2017). Türkiye için Döviz Kuru, Faiz ve Enflasyonun Hisse Senedi Getirileri Üzerine Etkileri. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 107-120.
  • Sekula P. (2019). Causality Analysis between Stock Market Indices. Financial Sciences Nauki O Finansach 24 (1), 74-83.
  • Schwert G.W. (1989). Why Does Stock Market Volatility Change Over Time? The Journal Of Finance,1115-1153.
  • Trivedi, J., Spulbar,C., Birau, R. and Minea E.L. (2021). Assessing the Changes in Statistical Property of Selected Stock Markets Behaviour before and after Covid-19 Pandemic: A Case Study. Research and Science Today Journal 2(22), 63-80.
  • Tsay, Ruey S. (2002). Analysis of Financial Time Series. New York: Wiley Series in Probability and Statistics, 81- 110.
  • Tsay, Ruey S. (1987). Conditional Heteroscedastic Time Series Models, Journal of the American Statistical Association, 590-604.
  • Ünal, S. (2020). Hisse Senedi Getirileri Üzerinde Para ve Maliye Politikası Araçlarının Etkisi: Borsa İstanbul üzerine bir Araştırma; Journal of Yasar University, 15(60), 772-789.
  • Vega P., Zack G, Calvo J. and Libman E. (2023). Inflation Determinants in Argentina (2004-2022); arXiv.org. [econ.GN],1-33. Doi: 10.48550.
  • Yeboah E. and Lamin C. (2024). The Dynamic Effect of Trade Openness, Debt, and Foreign Investment in Ghana’s Economy: An ARDL Bound Testing Approach; International Journal of Engineering and Management Sciences (IJEMS) 9 (2), 94-112. Doi: 10.21791/IJEMS.2024.01.
  • You K., Chinthalapati V.L. R., Mishra T. and Patra R. (2024). International Trade Network and Stock Market Connectedness: Evidence from Eleven Major Economies, Journal of International Financial Markets, Institutions & Money, 1-24.

Covid-19 Pandemisi Sırasında Küresel Piyasalarda Para Politikalarının ve Finansal İstikrar Tedbirlerinin Etkisinin Analizi

Yıl 2024, Cilt: 7 Sayı: 2, 111 - 141, 20.12.2024
https://doi.org/10.56206/husbd.1525892

Öz

Bu çalışma, ABD, AB ve Türkiye'de uygulanan para politikaları ile finansal istikrar tedbirleri arasındaki nedensel ilişkileri araştırmaktadır. Hisse senedi piyasaları, para piyasaları ve tahvil piyasalarından seçilen değişkenler test edilmiştir. Makrofinansal süreç seti S&P500 hisse senedi piyasası, BIST-100 hisse senedi piyasası; Volatilite endeksi; Almanya, ABD ve Türkiye 10 yıllık hazine bonosu faiz verileri, Avrupa Birliği 27 ortalama TÜFE, ABD TÜFE, Türkiye TÜFE, ECB politika faizi, FED politika faizi, TCMB politika faizi verilerini kapsamaktadır. Granger nedensellik analizi ilk olarak; ABD, AB ve Türkiye ekonomisine ait her bir veri seti için ayrı ayrı uygulanmıştır. İkinci olarak, hisse senedi piyasaları, para piyasaları ve tahvil piyasalarının karşılıklı etkisi incelenmiştir. Son olarak CBOE Volatilite endeksi (VIX) dikkate alınmıştır. Salgınlar sırasında gelişmiş ekonomilerden gelişmekte olan piyasalara yayılma etkilerinin gözlemlenmesi amaçlanmaktadır. Veri seti 2019M1 ile 2023M6 arasındaki aylık dönemi kapsamaktadır.

Kaynakça

  • Akbakay, Z. (2018). Avrupa Merkez Bankasının Para Politikası: Fiyat İstikrarının Niceliksel Tanımı ve İki Sütunlu Analiz Yaklaşımı, Balkan Journal of Social Sciences, 14, 1-13.
  • Aytekin İ. and Uçan O. (2022). Döviz Kuru Enflasyon ve Dış Ticaret Arasındaki İlişkinin Ekonometrik bir Analizi:Türkiye Örneği, Academic Review of Economics and Administrative Sciences, 460–475.
  • Aytüre S. and Keskin M. (2024). The Relationship between the Istanbul Stock Market and Türkiye’s Foreign Trade, BMIJ Journal, 12 (2), 345-355. Doi:10.15295.
  • Baek S., Mohanty S.K. and Glambosky M. (2020). Covid-19 and Stock Market Volatility: An Industry Level Analysis. Finance Research Letters, 1-10.
  • Baker, S.R. et.al. (2020). The Unprecedented Stock Market Impact of Covid-19, NBER Working Paper Series. Working Paper 26945, 1-22.
  • Bernanke, B. S. and Kuttner, K. N. (2005). What Explains the Stock Market’s Reaction to Federal Reserve Policy?. The Journal of Finance, 60 (3), 1057- 1592.
  • Coşkuner M. and Özer A. (2024). Döviz Kuru ve Enflasyonun Hisse Senedi Getirisi Üzerindeki Etkisi- Balıkesir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 5(1), 15-24
  • Dickey, D. A. and Fuller, W. A. (1979). Distribution of Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 427-431.
  • Dickey, D. A. and Fuller, W. A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root. Econometrica, 1057-1072.
  • Engle, R. and Granger C.W.J. (1987). Co-integration and Error Correction: Representation, Estimation, Testing. Econometrica, 55, 251-276.
  • Engle, R.F., Ghysels, E. and Sohn, B. (2013). Stock Volatility and Macroeconomic Fundamentals. The Review of Economics and Statistics 95 (3): 776-797.
  • Fama, Eugene F. and Kenneth R. French,(1989). Business Conditions and Expected Returns on Stock and Bonds, Journal of Financial Economics, 23-49.
  • Fama, Eugene F. (1976). Inflation Uncertainty and the Expected Returns on Treasury Bills; Journal of Political Economy, 84 (3), 427-448.
  • Fama, Eugene F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work; The Journal of Finance, 25 (2) , Papers and Proceedings of the Twenty-Eighth Annual Meeting of the American Finance Association New York, 383-417.
  • Fama, Eugene F. and Schwert G.W. (1977). Asset Returns and Inflation; Journal of Financial Economics,5(2), 115- 146
  • Farokhnia K. and Osterrieder J. (2020). High Frequency Causality between Stochastic Volatility Time Series: Empirical Evidence, 1-15.
  • Geske, R. and Roll, R. (1983). The Fiscal and Monetary Linkage between Stock Returns and Inflation; The Journal of Finance, 1-33. Doi: 10.1111/j.1540- 6261.1983.
  • Granger, C. W. J. and Newbold, P. (1977). Forecasting Economic Time Series. New York: Academic Press. ISBN 0122951506
  • Granger, C. W. J .(1987). Co-Integration and Error Correction: Representation, Estimation, and Testing; Econometrica, 55 (2), 251-276.
  • Koç, H. (2020). Trilemma Hipotezi: Türkiye Ekonomisi Üzerine arklı bir Perspektif. İstanbul İktisat Dergisi, 383-412.
  • Lutkepohl, H. and Kratzig, M. (2005). Applied Time Series Econometrics. Cambridge University Press.
  • Lutkepohl, H. and Netsunajev, A. (2018). The Relation between Monetary Policy and the Stock Market in Europa. Econometrics, 6-36.
  • Meher K.B., Hawaldar I.T., Mohapatra L. and Sares A.M. (2020). The Impact of Covid-19 on Price of Crude Oil and Natural Gas Listed on Multi Commodity Exchange of India. International Journal of Energy Economics and Policy, 422-431.
  • Mishkin, F.S. (2013). The Economics of Money, Banking and Financial Markets (10th edition.). The Pearson Series in Economics.
  • Molnár A. and Csiszárik-Kocsir, Á. (2022). Forecasting Economic Growth with the Hungarian Composite Stock Market Index – a Granger Causality Test. Acta Polytechnica Hungarica 19 (8), 205-227.
  • Ohmura, H. (2020). The Connection between Stock Market Prices and Political Support: Evidence From Japan. Applied Economic Letters,1-7
  • Özkaya, A. (2022). Non-linear Dynamics and Recurrent Patterns in Stock Markets: A Comparison between BIST-100 and S&P500 Indices. OÜSOBİAD 12 (2), 1365-1380, Doi: 10.48146/odusobiad.1123224, 1365-1380.
  • Özkaya, A. and Altun Ö. (2024). Domestic and Global Causes for Exchange Rate Volatility: Evidence from Turkey. SAGE Open 14 (2), 1-14.
  • Özmen, M., Karlılar, S. and Karlılar, G. (2017). Türkiye için Döviz Kuru, Faiz ve Enflasyonun Hisse Senedi Getirileri Üzerine Etkileri. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 107-120.
  • Sekula P. (2019). Causality Analysis between Stock Market Indices. Financial Sciences Nauki O Finansach 24 (1), 74-83.
  • Schwert G.W. (1989). Why Does Stock Market Volatility Change Over Time? The Journal Of Finance,1115-1153.
  • Trivedi, J., Spulbar,C., Birau, R. and Minea E.L. (2021). Assessing the Changes in Statistical Property of Selected Stock Markets Behaviour before and after Covid-19 Pandemic: A Case Study. Research and Science Today Journal 2(22), 63-80.
  • Tsay, Ruey S. (2002). Analysis of Financial Time Series. New York: Wiley Series in Probability and Statistics, 81- 110.
  • Tsay, Ruey S. (1987). Conditional Heteroscedastic Time Series Models, Journal of the American Statistical Association, 590-604.
  • Ünal, S. (2020). Hisse Senedi Getirileri Üzerinde Para ve Maliye Politikası Araçlarının Etkisi: Borsa İstanbul üzerine bir Araştırma; Journal of Yasar University, 15(60), 772-789.
  • Vega P., Zack G, Calvo J. and Libman E. (2023). Inflation Determinants in Argentina (2004-2022); arXiv.org. [econ.GN],1-33. Doi: 10.48550.
  • Yeboah E. and Lamin C. (2024). The Dynamic Effect of Trade Openness, Debt, and Foreign Investment in Ghana’s Economy: An ARDL Bound Testing Approach; International Journal of Engineering and Management Sciences (IJEMS) 9 (2), 94-112. Doi: 10.21791/IJEMS.2024.01.
  • You K., Chinthalapati V.L. R., Mishra T. and Patra R. (2024). International Trade Network and Stock Market Connectedness: Evidence from Eleven Major Economies, Journal of International Financial Markets, Institutions & Money, 1-24.
Toplam 38 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Finansal Ekonomi
Bölüm Makaleler
Yazarlar

Rabia Özkaya 0000-0002-0132-8441

Yayımlanma Tarihi 20 Aralık 2024
Gönderilme Tarihi 1 Ağustos 2024
Kabul Tarihi 10 Aralık 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 7 Sayı: 2

Kaynak Göster

APA Özkaya, R. (2024). Analyzing The Effect of Monetary Policies and Financial Stability Measures Across Global Markets amid Covid-19 Pandemics. Haliç Üniversitesi Sosyal Bilimler Dergisi, 7(2), 111-141. https://doi.org/10.56206/husbd.1525892