IDR and YEN Currency With Structural Model
Keywords:
Currency, VAR, SVAR, VEC, SVECAbstract
This research aims to investigate a simple algorithm modeling, how the algorithm implementation and development into the structural model in the form of multivariate time series data using Eviews. 2 basic instruments are in use are vector auto regressive (VAR) and vector error correction (VEC) which will be developed into a structural vector auto regressive (SVAR) and structural vector error correction (SVEC). In this study used a variable currency IDR (Indonesia) and YEN (Japan) during the period 2004-2014, which convert into USD. Modeling of basic instruments that created and continue to shape innovative structures, can result in that the VAR model and SVAR be implemented on the stationary, while the VEC and SVEC models can be implemented in the data that are non-stationary.
References
- Akaike, H., 1971, Autoregressive model fitting for control, Annals of the Institute of Statistical Mathematics, 23, pp. 163-180.
- Brooks, C. 2008., Introductory econometrics for finance. New York: Cambridge University Press.
- Granger, C.W.J. 1981,, Some Properties of Time Series Data and Their Use in Econometric Model Specification, Journal of Econometrics, 16, pp. 121-130.
- Hadi, Y.S. 2003,, Analisis Vector Autoregression (VAR) terhadap Korelasi antara Pendapatan Nasional dan Investasi Pemerintah di Indo-nesia. Jurnal Keuangan dan Moneter, 6, pp. 107-121.
- Harris, R, and Sallis, R. 2003., Applied time series modelling and forecasting. New York: John Wiley & Sons.
- Halim, S., Bisono, I.N. 2007,, Melissa, and Cynthia, Automatic Seasonal Auto Regressive Moving Average Models and Unit Root Test Detection,
- Lütkepohl, H. 2005., New introduction to multiple time series analysis. Berlin: Springer.
- Pfaff, B. 2008,, VAR, SVAR and SVEC models: Implementation within R package vars. Journal of Statistical Software, 27(4), pp. 1-29.
- Sims, C. A. 1980,, Macroeconomics and reality. Journal Econometrica, 48, pp. 1-48.
- Johansen, Soren. 1995. Likelihood-Based Inference in Cointegrated Vector Autoregressive Models. Oxford: Clarendon Press.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRST

This work is licensed under a Creative Commons Attribution 4.0 International License.