Applying multivariate time series models to technological product sales forecasting

被引:7
作者
Chiu, YC [1 ]
Shyu, JZ [1 ]
机构
[1] Chung Yuan Christian Univ, Dept Business Adm, Chungli, Taiwan
关键词
technology marketing; vector autoregression; Litterman Bayesian Vector Autoregression; forecasting;
D O I
10.1504/IJTM.2004.003957
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Sales forecasting plays a crucial role in conducting marketing and mix strategies in technological industries. However, traditional sales forecasting methods focus only on customer behaviour and other quantitative variables. This paper proposes multivariate time series models, using the vector autoregression (VAR) model and the Litterman Bayesian vector autoregression (LBVAR) model, for sales forecasting in technological industries. In this study, macroeconomic data are considered to be useful leading indicators and are included in the VAR and LBVAR models. The LBVAR model possesses superior Bayesian statistics in small sample forecasting and holds the VAR model dynamic properties. An empirical study of Taiwan's portable computer industry is used to examine the VAR and LBVAR models to validate the informative effect of macroeconomic data on sales forecasting. As a result, multivariate time series models with macroeconomic data appear to be useful models for technological product sales forecasting.
引用
收藏
页码:306 / 319
页数:14
相关论文
共 22 条
[1]   BVAR AS A CATEGORY MANAGEMENT TOOL - AN ILLUSTRATION AND COMPARISON WITH ALTERNATIVE TECHNIQUES [J].
CURRY, DJ ;
DIVAKAR, S ;
MATHUR, SK ;
WHITEMAN, CH .
JOURNAL OF FORECASTING, 1995, 14 (03) :181-199
[2]  
DOAN T, 1992, RATS USERS MANUAL, P8
[3]  
Doan T., 1984, ECON REV, V3, P1, DOI DOI 10.1080/07474938408800053
[4]   FORECASTING US HOME SALES USING BVAR MODELS AND SURVEY DATA ON HOUSEHOLDS BUYING ATTITUDES FOR HOMES [J].
DUA, P ;
SMYTH, DJ .
JOURNAL OF FORECASTING, 1995, 14 (03) :217-227
[5]   A BVAR MODEL FOR THE CONNECTICUT ECONOMY [J].
DUA, P ;
RAY, SC .
JOURNAL OF FORECASTING, 1995, 14 (03) :167-180
[6]  
ENDERS W, 1995, APPL EC TIME SERIES, P301
[7]   INVESTIGATING CAUSAL RELATIONS BY ECONOMETRIC MODELS AND CROSS-SPECTRAL METHODS [J].
GRANGER, CWJ .
ECONOMETRICA, 1969, 37 (03) :424-438
[8]  
HAMILTON JD, 1994, TIME SERIES ANAL, P362
[9]   VECTOR AUTOREGRESSION MODELING AND FORECASTING [J].
HOLDEN, K .
JOURNAL OF FORECASTING, 1995, 14 (03) :159-166
[10]  
HSU PH, 2001, IN PRESS TECHNOLOGIC