Dergiler / Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi / 2018 / Cilt: 11 - Sayı: 2

Regime Switching Stochastic Volatility: The Output Growth Behaviour

Sayfa
195–202
Yayın Tarihi
2018-04-25
DOI
—
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In the scope of the study, a single economic variable is preferred as a reference series and, although GDP is the “reference” series that determines the situation of economic activity, monthly industrial production index series is used instead of quarterly basis GDP between 1987: 01-2017: 04 monthly periods.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The output volatility can cause the recession in the economy by random shocks.
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Temel Bulgular & Veri:Growth volatility, output variability, fluctuation in output, and business cycle volatility are used as the output uncertainty in the literature.
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Sonuç & Katkı:In the scope of the study, a single economic variable is preferred as a reference series and, although GDP is the “reference” series that determines the situation of economic activity, monthly industrial production index series is used instead of quarterly basis GDP between 1987: 01-2017: 04 monthly periods.
🔬Tür:Araştırma Makalesi
📍Kapsam:2017 Verileri
⚙️Değişkenler:Stochastic volatility · Markov regime switching model · output uncertainty

Özet

The output volatility can cause the recession in the economy by random shocks. Growth volatility, output variability, fluctuation in output, and business cycle volatility are used as the output uncertainty in the literature. Regime switching and the stochastic volatility is combined within this paper to explain the behaviour of output growth and its volatility. Moreover, this study pointed out the sign and direction of the relation between output growth and its uncertainty in Turkey as a developing country. In the scope of the study, a single economic variable is preferred as a reference series and, although GDP is the “reference” series that determines the situation of economic activity, monthly industrial production index series is used instead of quarterly basis GDP between 1987: 01-2017: 04 monthly periods.

Abstract

The output volatility can cause the recession in the economy by random shocks. Growth volatility, output variability, fluctuation in output, and business cycle volatility are used as the output uncertainty in the literature. Regime switching and the stochastic volatility is combined within this paper to explain the behaviour of output growth and its volatility. Moreover, this study pointed out the sign and direction of the relation between output growth and its uncertainty in Turkey as a developing country. In the scope of the study, a single economic variable is preferred as a reference series and, although GDP is the “reference” series that determines the situation of economic activity, monthly industrial production index series is used instead of quarterly basis GDP between 1987: 01-2017: 04 monthly periods.

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Bu Makaleye Atıf Yap

TERZİOĞLU, M. K. (2018). Regime Switching Stochastic Volatility: The Output Growth Behaviour. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt: 11 - Sayı: 2, 195–202. https://ajindex.com/articles/155690

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Kaynakça (10)

  1. Burns, A. & Mitchell, F.W, C. (1946). Measuring Business Cycles. National Bureau of Economic Research. Delong, J. & Summers B.L.H. (1984).Are Business Cycles Symmetric?. National Bureau of Economic Research. Diebold, F. & Rudebusch, G. (1996).Measuring Business Cycles: A Modern Perspective. Review of Economics and Statistics, 78, 68- 77. Frisch, R. (1993).Propagation Problems and Impulse Problems in Dynamic Economics Economic Essays in Honor of Gustav Cassel, Taylor And Francis Group, 171–205.
  2. Hall, S., Psaradakis, Z., & M. Sola, M. (1999). Detecting Periodically Collapsing Bubbles: A Markov-Switching Unit Root Test. Journal of Applied Econometrics, 14, 143- 154. Hamilton, J. D.(1989). A New Approach to the Economic Analysis of Non-stationary Time Series and The Business Cycle. Econometrica, 57, 357—384. Hamilton, J. D. (1994). Time Series Analysis. Princeton Universities Press,
  3. New Jersey. Harding, D. & Pagan, A. (2002a). A Comparison of Two Business Cycle Dating Methods. Journal of Economic Dynamics and Control, 1681- 1690. Keynes, J., M. (1936).
  4. The General Theory Of Employment, Interest And Money. Macmillan. Kim, Ch. & Nelson, Ch. (1999). Friedman's Plucking Model of Business Fluctuations: Tests and Estimates of Permanent and Transitory Components. Journal of Money, Credit, and Banking 31, 317-334.
  5. Koopmans, T., C. (1947).Measurement without Theory. The Review Of Economics And Statistics, 29, 3, 161- 172 Lam, P. (1990).The Hamilton Model with A General Autoregressive Component. Journal of Monetary Economics, 26, 409-432.
  6. Lumsdaine, R. & Papell, D. (1997). Multiple Trend Breaks and the Unit-Root Hypothesis. The Review of Economics and Statistics, 79, 212-218.
  7. Lucas, Jr. R.E. (1983).Studies in Business Cycle Theory.The MIT Press.
  8. Mintz, I. (1969). Dating Postwar Business Cycles: Methods and Their Application to Western Germany, 1950- 1967”. National Bureau Of Economic Research, 107 Mitchell, W., C. (1968).Business Cycles, The Problem and Its Setting. National Bureau Of Economic Research. Neftçi, S. (1984).Are Economic Time Series Asymmetric Over The Business Cycle?. Journal of Political Economy, University of Chicago Press, 92(2), 307-28
  9. Nelson, Ch., Piger, J., & Zivot, E. (2001).Markov Regime Switching and Unit root Tests. Journal of Business and Economic Statistics, 19, 404-415.
  10. Slutzky, E. (1937).The Summation of Random Causes as the Source of Cyclic Processes. Econometrica, 5, 2, 105 – 146. Yamasawa, N. (2008). China’s Business Cycle and Early Warn