Parameter stability in the market model: Tests and time varying parameter estimation with UK data

被引:5
|
作者
Coutts, JA
Roberts, J
Mills, TC
机构
[1] UNIV SHEFFIELD, SHEFFIELD S10 2TN, S YORKSHIRE, ENGLAND
[2] LOUGHBOROUGH UNIV TECHNOL, LOUGHBOROUGH LE11 3TU, LEICS, ENGLAND
关键词
beta-parameter; market model; smooth transitions; stability tests; time varying parameters;
D O I
10.1111/1467-9884.00059
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This paper investigates parameter stability in the market model using a data set constructed from the companies that have remained in the London Stock Exchange FT-SE 100 index for the first decade of its existence. A battery of tests of structural stability are performed, finding that parameter instability is prevalent in the fitted market models. Two specific time varying parameter models are then investigated: a smooth transition regression and a random walk parameter model. Shifts in beta-parameters at certain non-firm-specific events, particularly the deregulatory Big Bang of October 1986, the crash a year later and the general election and later European exchange rate mechanism crisis of 1992, are found to be a feature of the data set.
引用
收藏
页码:57 / 70
页数:14
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