You are here

TERÖR OLAYLARININ DÖVİZ PİYASASI OYNAKLIĞI ÜZERİNDEKİ ETKİSİ: TÜRKİYE ÖRNEĞİ

The Influence of Terrorist Events on the Volatility of Foreign Exchange Market: The Case of Turkey

Journal Name:

Publication Year:

DOI: 
http://dx.doi.org/10.23929/javs.351
Abstract (2. Language): 
Terrorism is undoubtedly an issue that has not fallen from the agenda since the past. Conceptually, terror refers to actions aimed at peace and security that create fear among people. In this study, the effect of the terrorist incidents in Turkey on the exchange rate volatility was researched for the period 1990:1-2017:3. First, in the study, the rate of return of the dollar was calculated, and then unit root tests were applied. In addition, the terror index calculated by Eckstein and Tsiddon (2004) and Persitz (2006) approaches was established. Unit root tests applied for both exchange rate returns and terror index reveal that the series are stationary. With the help of the Akaike Information Criteria (AIC), it was determined that the ARMA(4,3) model is appropriate for the foreign exchange market. It is determined that ARCH effect is the result of applied ARCH test. As a result, the volatility series generated by the estimated ARCH (2) model is used as a dependent variable in the model. In addition, a dummy variable was used for the floating exchange rate regime policy, which entered into force in late of February 2001. When the volatility model results are examined, it is seen that the floating exchange rate policy has a positive effect on the foreign exchange market according to the period in which the fixed exchange rate policy is applied. That is, volatility is higher during the floating exchange rate policy period. Finally, terrorist incidents have increased the foreign exchange market volatility. But this volatility is less after 2001 than before. This result shows that there is a stable period in Turkey after 2001.
Abstract (Original Language): 
Terör şüphesiz ki geçmişten beri gündemden düşmeyen bir konudur. Kavramsal olarak terör, insanlar arasında korku yaratan barış ve güvenliği hedef alan eylemleri ifade eder. Bu kapsamda, çalışmada 1990:1-2017:3 dönemi için Türkiye’de meydana gelen terör olaylarının döviz kuru piyasası volatilitesi üzerindeki etkisi araştırılmıştır. İlk olarak, çalışmada dolar kuru serisinin getiri oranları hesaplanmış ve daha sonra birim kök testleri uygulanmıştır. İlaveten Eckstein and Tsiddon (2004) and Persitz (2006) yaklaşımlarıyla hesaplanan terör endeksi oluşturulmuştur. Hem döviz kuru getirisi hem de terör endeksi için uygulanan birim kök testleri serilerin durağan olduğunu ortaya koymaktadır. Akaike Bilgi Kriteri (AIC) yardımıyla döviz piyasası için ARMA(4,3) modelinin uygun olduğu belirlenmiştir. Uygulanan ARCH testi sonucunda ise ARCH etkisinin olduğu belirlenmiştir. Sonuçta, tahmin edilen ARCH(2) modeli kullanılarak oluşturulan volatilite serisi bağımlı değişken olarak modelde kullanılmıştır. Ayrıca, çalışmada 2001 Şubat ayından sonra yürürlüğe giren dalgalı kur rejimi politikası için bir kukla değişken kullanılmıştır. Volatilite model sonuçları incelendiğinde dalgalı kur politikası uygulanan dönemde, sabit kur politikası uygulanan döneme göre döviz piyasası üzerinde pozitif etkiye sahip olduğu görülmektedir. Yani dalgalı kur politikası döneminde oynaklık daha yüksektir. Son olarak terör olaylarının döviz piyasası oynaklığını artırdığı sonucuna ulaşılmıştır. Fakat bu oynaklık 2001 sonrasında, öncesine göre daha azdır. Bu sonuç 2001 sonrasında Türkiye’de istikrarlı bir dönem olduğunu göstermektedir..
55
66

REFERENCES

References: 

12/4/1991 tarih ve 3713 sayılı Terörle Mücadele Kanunu
Ağırman, E. & M. Özcan & Ö. Yılmaz (2014), “Terörizmin Finansal Piyasalara Etkisi: Ampirik Bir Çalışma”, BDDK Bankacılık ve Finansal Piyasalar Dergisi, 8(2), 99-117.
Aksoy, M. (2014). “The Effects of Terrorism on Turkish Stock Market”. Ege Akademik Bakış, 14(1), s. 31-41
Algan, N. & Balcılar, M. & Bal, H. & Manga, M. (2016).Terörizmin Finansal Piyasalara Etkisi:Türkiye Örneği. International Conference On Eurasian Economies, (s. 624).
Arin, K.P. & D. Ciferri & N. Spagnolo (2008), “The Price of Terror: The Effects of Terrorism on Stock Market Returns and Volatility”, Economic Letters, 101, 164-167.
Aurangzeb, D. & T. Dilawer (2012), “Impact of Terrorism on Stock Returns: Evidence From Pakistan”, Universal Journal of Management and Social Sciences, 2(8), 1-23.
Bashir, U, Haq, I, & Gillani, S. (2013). “Influence of Terrorist Activities on Financial Markets: Evidence from KSE”. Financial Assets and Investing, (2), p. 5-13
Bhargava, A., “On the Theory of Testing for Unit Roots in Observed Time Series”, Review of Economic Studies, 53, 1986.
Bollerslev, Tim (1986), “Generalized Autoregressive Conditional Heteroscedasticity”, Journal of Econometrics, 31, s. 307-327.
Box, G. ve M. G. Jenkins, Time Series Analysis Forecasting and Control, San Francisco: Holden Day, 1976.
Chen, A.H. & T.F. Siems (2004), “The Effects of Terrorism on Global Capital Markets”, European Journal of Political Economy, 20, 349-366.
Chesney, M. & G. Reshetar & M. Karaman (2011), “The Impact of Terrorism on Financial Markets: An Empirical Study”, Journal of Banking & Finance, 35, 253-267.
Christofis, N. & C. Kollias & S. Papadamou & A. Stagiannis (2010), “Terrorism and Capital Markets: The Effects of the Istanbul Bombings”, Economics of Security Working Paper Series, 31, 1-16.
Çağlar, Ali (1997), “Terör ve Örgütlenme”, TODAİE Amme İdaresi Dergisi, Vol: 30, No: 3, ss.119-133.
Javstudies.com Javstudies@gmail.com International Journal of Academic Value Studies
International Journal of Academic Value Studies ISSN:2149-8598 Vol: 3, Issue: 13 pp.55-66
66
Dickey, D. A. and W. A. Fuller, (1979), “Distribution of the Estimators for Autoregressive Time Series with a Unit Root”, Journal of the American Statistical Association, Vol. 74, No. 366, pp. 427-431.
Drakos, K. (2010), “Terrorism Activity, Investor Sentiment, and Stock Returns”, Review of Financial Economics, 19, 128-135.
Eckstein, Z., Tsiddon, D. (2004) “Macroeconomic Consequences of Terror: Theory and the Case of Israel”, Journal of Monetary Economics, Vol. 51, No. 5, pp. 971-1002, doi: 10.1016/j.jmoneco.2004.05.001.
Eldor, R. ve Melnick, R. (2004) “Financial Markets and Terrorism” European Journal of PoliticalEconomy, 20:367-386.
Engle, Robert F. (1982), “Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation”, Econometrica, 50, s 987-1007.
Global Terrorism Datebase, Global Terrorism Index. https://www.start.umd.edu/gtd/
Kollias, C. & S. Papadamou & A. Stagiannis (2011), “Terrorism and Capital Markets: The Effects of the Madrid and London Bomb Attacks”, International Review of Economics and Finance, 20, 532-541.
Kwiatkowski, D., P. C. B. Phillips, P. Schmidt ve Y. Shin, “Testing the Null Hypothesis of Stationarity Against the Alternative of a Unit Root”, Journal of Econometrics, 54, 1992.
Laqueur, W. (1987). The Age of Terrorism. London: Wei- denfeld and Nicolson.
Ng, S. ve P. Perron, “Unit Root Tests in ARMA Models with Data-Dependent Methods for the Selection of the Truncation Lag”, Journal of the American Statistical Association, 90, Mach 1995.
Ng, S. ve P. Perron, “Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power”, Econometrica, 69, November 2001.
Perzits, D. (2006) “The Effect of Terrorism on the Economy: Counterfactual Analysis of Israel”, Seminar in Tel Aviv University, Manuscript, pp. 1-55. Available at: [Accessed: March 29, 2017].
Perron, P., ve S. Ng, “Useful Modifications to Some Unit Root Tests with Dependent Errors and Their Local Asymptotic Properties”, The Review of Economic Studies, 63, July 1996.
Phillips, P. C. B. ve P. Perron, “Testing for a unit Root in Time Series Regression”, Biometrika, 75, 1988.
Said, E. S. ve D. A. Dickey, “Testing for Unit Roots in Autoregressive-Moving Average Models of Unknown Order”, Biometrika, 71, December 1984.
Sandler, T. and Enders, W. (2002). An economic perspective on transnational terrorism. Working Paper, vol. 03 - 04- 02, Economics, Finance and Legal studies, The University of Alabama, Working paper Series.
Sevüktekin, M. ve M. Çınar, (2017), “Ekonometrik Zaman Serileri Analizi: EViews Uygulamalı”, Bursa: Dora Yayıncılık.
Türkiye Cumhuriyeti Merkez Bankası, http://www.tcmb.gov.tr/kurlar/kurlar_tr.html

Thank you for copying data from http://www.arastirmax.com