PEMODELAN INDEKS HARGA SAHAM GABUNGAN DAN VOLUME PERDAGANGAN DI BURSA EFEK JAKARTA MENGGUNAKAN ANALISIS RUNTUN WAKTU

Authors

  • Noeryanti -

DOI:

https://doi.org/10.34151/technoscientia.v0i0.2049

Keywords:

IHSG, trade volume, Time Series, Trend, Forecasts

Abstract

In order to give more complete information about stock exchange development to public, "Bursa Efek Jakarta" (BEJ) has spread out stockt value movement data through press and elec-tronic. From fifteen index data component available, the important indi-cator in stock value exchange is Daily Stock Value Index (IHSG) and Trade Volume. Base on data taken by researcher through website  of Jakarta Stock Exchange (JSX) on  data menu trade at  http://www.jsx.co.id, it was obtained data exchange pattern of IHSG and  Trade Volume for 358 days and the researcher extrapolated the datum to the next time (predict the next 90 datum) The result of analysis by using software Minitab v13 showed that the mode of quadratic trend pattern is very suitable for both datum. Trend equation of IHSG data is: Yt = 1085,53-0,581334t+4,21E-03t2 and trade volume is: Yt =0,972451-1,50E-04t+3,93E-07t2. Forecasts value for next 90 datum is useful for business user in long term.  The pattern of both datum is stationary in the first difference. So Box-Jenkins mode can be formed for IHSG data is ARIMA(1,0,0), with the first mode:Zt = 0,0838 Zt-1 + at; at~indN(0,0.9296); ARIMA(1,0,1) with the first mode: Zt = -0,10498-0,2482Zt-1+at-0,3399at-1; at~ind N(0,0.84843) and ARIMA(1,0,0) with the first mode: Zt = -0,4273Zt-1+at;at~ind N(0,0.6046). With the same way it is obtained Box-jenkins mode for Trade Volume data : ARIMA(1,0,0) with the first mode: Zt= -0,4051Zt-1+at; at~ind N(0,32.0315), ARIMA(0,0,1) with the first mode:Zt = -4,73+at+0,7342at-1; at~ind N(0,6.0753) dan ARIMA(1,0,1) with the first mode: Zt = 3,9811-0,1706Zt-1+at+0,8230at-1­; at~ind N(0,23.04)

References

Anderson, O.D., 1976, Time Series Ana-lysis and Forecasting The Box-Jenking Approach, Butterwarths, London
Djoko, S., 2002, Analisis Teknikal di Bur-sa Efek, STIE YKPN, Yogyakarta
Gujarati, D., 2003 ,Basic Econometrics, fourth edition, Mc Graw-Hill Book Company, New York
Huibert, K., 1998, Time Series Analysis and System Identification, Uni-versity of Twente,
Judge, G., 1982, An Introduction to the theory and Practice of Econome-trics, John Wiley & Sons, Inc, Canada
Makridakis, S., Wheelwright, S.C., and McGEE,V.E., 1998, Forecasting Method and Applications, Secon Edition, John Wiley & Sons, Inc
Roes, S., 1996, Stochastic Proses, New York, John Wiley & Sons, Inc
Sritua, A., 1993, Metodologi Penelitian Ekonomi, Universitas Indonesia Press, Jakarta
Wei, W.W., 1994, Time Series Analysis, Addison - Wesley Publishing Company, Inc.

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Published

23-09-2019

How to Cite

-, N. (2019). PEMODELAN INDEKS HARGA SAHAM GABUNGAN DAN VOLUME PERDAGANGAN DI BURSA EFEK JAKARTA MENGGUNAKAN ANALISIS RUNTUN WAKTU. JURNAL TEKNOLOGI TECHNOSCIENTIA, 105–118. https://doi.org/10.34151/technoscientia.v0i0.2049